ACM Transactions on

Multimedia Computing, Communications, and Applications (TOMM)

Latest Articles

Introduction to the Special Issue on Delay-Sensitive Video Computing in the Cloud

Delay-Sensitive Video Computing in the Cloud: A Survey

While cloud servers provide a tremendous amount of resources for networked video applications, most successful stories of cloud-assisted video applications are presentational video services, such as YouTube and NetFlix. This article surveys the recent advances on delay-sensitive video computations in the cloud, which are crucial to cloud-assisted... (more)

Cost-Efficient Server Provisioning for Cloud Gaming

Cloud gaming has gained significant popularity recently due to many important benefits such as removal of device constraints, instant-on, and... (more)

Game Categorization for Deriving QoE-Driven Video Encoding Configuration Strategies for Cloud Gaming

Cloud gaming has been recognized as a promising shift in the online game industry, with the aim of... (more)

Game Input with Delay—Moving Target Selection with a Game Controller Thumbstick

Hosting interactive video-based services, such as computer games, in the Cloud poses particular challenges given user sensitivity to delay. A better... (more)

Novel Hybrid-Cast Approach to Reduce Bandwidth and Latency for Cloud-Based Virtual Space

In this article, we explore the possibility of enabling cloud-based virtual space applications for better computational scalability and easy access... (more)

Cloud Baking: Collaborative Scene Illumination for Dynamic Web3D Scenes

We propose Cloud Baking, a collaborative rendering architecture for dynamic Web3D scenes. In our architecture, the cloud renderer renders the scene with the global illumination (GI) information in a GI map; the web-based client renderer renders the scene with ambient lighting only and blends it with the GI map received from the cloud for the final... (more)

ASAP: Adaptive Stall-Aware Pacing for Improved DASH Video Experience in Cellular Networks

The dramatic growth of video traffic represents a practical challenge for cellular network operators in providing a consistent streaming Quality of Experience (QoE) to their users. Satisfying this objective has so-far proved elusive, due to the inherent characteristics of wireless networks and varying channel conditions as well as variability in... (more)

On the Effectiveness of Offset Projections for 360-Degree Video Streaming

A new generation of video streaming technology, 360-degree video, promises greater immersiveness than standard video streams. This level of... (more)


[July 2018]

Special issue call: "Face Analysis for Applications". Call for papers   Submission deadline Oct. 14th, 2018


[June 2018]

Call for Nominations for TOMM Nicolas D. Georganas Best Paper Award 2018

The Editor-in-Chief of ACM TOMM invites nominations for the ACM TOMM Nicolas D. Georganas Best Paper. Deadline for nominations of papers published in ACM TOMM from January 2017 to December 2017, is July 10th, 2018. See the call for nomination cfn

[May 2018]

Special issue call: "Affective Computing for Large-Scale Heterogeneous Multimedia Data". Cfp Submission deadline Dec. 15th, 2018


[April 2018]

Special Issue call: "Big Data, Machine Learning and AI Technologies for Art and Design". CfpSubmission deadline June 15th, 2018 Extended to August 31st 2018


[February 2018]

Special Issue on "Cross-Media Analysis for Visual Questions" Cfp Submission deadline June 30th 2018 Extended to July 31th, 2018

[October 2017]


We invite highly qualified scientists to submit proposals for 2018-19 ACM TOMM Special Issues. Each Special Issue is in the responsibility of the Guest Editors. Proposals are accepted until December 31st, 2017. They should be prepared according to the instructions outlined below, and sent by e-mail to the Information Director Stefano Berretti ([email protected]) and the Editor in Chief of ACM TOMM Alberto del Bimbo ([email protected]). More information about the proposals submission can be found in the CfP.


[June 2017]

The Impact Factor for the year 2016 is now available. ACM TOMM increased its IF from 0.982 to 2.250 being now the second ranked journal in the area of Multimedia. Thank you to all the EB members, authors, reviewers and readers for this excellent results.

Special Issue on " Multi-modal Understanding of Social, Affective and Subjective Attributes of Data". Cfp . Submission deadline Oct. 1st 2017

Special Issue on "Deep Learning for Intelligent Multimedia Analytics". Cfp. Submission deadline Oct. 15 2017

[April 2017]

Special Issue on  "QoE Management for Multimedia Services". Cfp Submission deadline May 15, 2017 Extended to June 15, 2017

[April 2017]

Call for Nominations for TOMM Nicolas D. Georganas Best Paper Award 2017

The Editor-in-Chief of ACM TOMM invites nominations for the ACM TOMM Nicolas D. Georganas Best Paper. Deadline for nominations of papers published in ACM TOMM from January 2016 to December 2016, is June 15th, 2017. See the call for nomination  cfn

[February 2017]

Upcoming special issues:

- "Delay-Sensitive Video Computing in the Cloud". Cfp   Submission deadline  Aug. 20, 2017

- "QoE Management for Multimedia Services". Cfp Submission deadline May 15, 2017

- "Representation, Analysis and Recognition of 3D Humans" Call for papers 

[January 2017]

ACM TOMM AE guidelines have been added

[December 2016]

ACM TOMM Special Issue on "Delay-Sensitive Video Computing in the Cloud". Cfp Submission deadline Nov. 30, 2016 Extended to Dec. 30, 2016

[November 2016]

- ACM TOMM Special Issue on "Deep Learning for Mobile Multimedia". Cfp  Submission deadline Oct15, 2016 Extended to Nov. 25, 2016

- Special Section on "Multimedia Computing and Applications of Socio-Affective Behaviors in the Wild"Cfp Submission deadline Oct. 31, 2016 Extended to Nov. 25, 2016

- Special Section on "Multimedia Understanding via Multimodal Analytics". Cfp Submission deadline Oct. 31, 2016 Extended to Nov. 25, 2016


[September 2016]


The 2016 ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) Nicolas D. Georganas Best Paper Award is provided to the paper “Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams” (TOMM vol. 11, Issue 4) by Bing-Kun Bao, Changsheng Xu, Weiqing Min and Mohammod Shamim Hossain. 

Dr. Cheng-Hsin Hsu has been nominated the ACM TOMM Associate Editor of the Year for 2016! Congratulations to Cheng-Hsin!

[August 2016]

Call for Nominations for TOMM Nicolas D. Georganas Best Paper Award

The Editor-in-Chief of ACM TOMM invites nominations for the ACM TOMM Nicolas D. Georganas Best Paper. Deadline for nominations of papers published in ACM TOMM from January 2015 to December 2015, is September 10th, 2016. See the cfn

[June 2016]

Forthcoming Special Issues in 2017

We received 11 competitive proposals this year, and we had limited slots available, so it was a very tough decision. At the end, the following four SI proposals have been selected and scheduled as follows:

- "Deep Learning for Mobile Multimedia". Cfp  Submission deadline Oct. 15, 2016 Extended to Oct. 31, 2016

- "Representation, Analysis and Recognition of 3D Human". Cfp   Submission deadline Jan. 15, 2017 Extended to Feb. 15, 2017 

Two Special Section have been also accepted and scheduled for publication in 2017:

- "Multimedia Computing and Applications of Socio-Affective Behaviors in the Wild". Cfp Submission deadline Oct. 31, 2016

- "Multimedia Understanding via Multimodal Analytics". Cfp Submission deadline Oct. 31, 2016

[June 2016]

Forthcoming Special Issues in 2016

"Trust Management for Multimedia Big Data" - Publication date August 2016

"Multimedia Big Data: Networking" - Publication date November 2016

[February 2016]

Advisory Board

We have created the ACM TOMM Advisory Board to support the Editor in Chief in the definition and implementation of strategies with no editorial duties. The following colleagues have been appointed as members of the ACM TOMM Advisory Board: Prof. Wen Gao,  Peking University, Prof. Arnold Smeulders, University of Amsterdam, Prof. Nicu Sebe, University of Trento. 

[January 2016]

New Assistant Information Director

Starting on January 1st 2016, Marco Bertini will be in charge of Assistant Information Director of ACM TOMM. 

[January 2016]

New Information Director         Starting on January 1st 2016, Stefano Berretti will be in charge of Information Director of ACM TOMM.  

[January 2016]

New Editor-in-Chief

After the end of the second term of Ralf Steinmetz, Alberto Del Bimbo from the University of Florence will be the next TOMM Editor-in-Chief starting on January 1st 2016. 

ACM TOMM Nicolas D. Georgans Best Paper Award 2015

The award goes to the article "A Quality of Experience Model for Haptic Virtual Environments” (TOMM vol.10, Issue 3) by Abdelwahab Hamam, Abdulmotaleb El Saddik and Jihad Alja'am. Congratulations!

ACM TOMM Associate Editor of the Year 2015 Award

The award goes Pradeep Atrey from State University of New York, USA for his excellent work for the journal. Congratulations!

CfP: Special Issue "Multimedia Big Data: Networking"

Please consider submitting to the second special issue in next years special issue series. Call for Papers


CfP: Special Issue "Trust Management for Multimedia Big Data"

Next year, TOMM will feature a special issue series on "Multimedia Big Data". First topic will be "Trust Management". Extended Deadline: October 15th! Call for Papers


Call for Nominations TOMM Editor-in-Chief

After two terms of the current EiC Ralf Steinmetz, the search committee started the search for a new Editor-in-Chief. Call for Nominations


New ACM submission templates

The new ACM submission templates are online. Please use the most recent link on the authors' guide to find the files.


About TOMM


A peer-reviewed, quarterly archival journal in print and digital form, TOMM consists primarily of research papers of lasting importance and value in the field of multimedia computing, communications and applications. 


[October 2017]



News archive
Forthcoming Articles
Structure-Aware Deep Learning for Product Image Classification

Automatic product image classification is a task of crucial importance towards better understanding and management of online retailers. Motivated by recent advancements of deep convolutional neural network (CNN) on image classification, in this work we revisit the problem in the context of product images with the existence of a predefined categorical hierarchy and attributes, aiming to leverage the hierarchy and attributes to further improve the classification accuracy. With these structural-aware clues, we argue that more advanced CNN models could be developed beyond the one-versus-all classification as did by conventional CNNs. To this end, novel efforts of this work include: developing a salient-sensitive CNN that could focus more on the product foreground by inserting a spatial attention layer to a proper location, proposing a multi-class regression based refinement method that is expected to generate more accurate predictions by utilizing prediction scores from preceding multiple CNNs, each corresponding to a distinctive classifier on a categorical layer in the hierarchy, and devising a multi-task deep learning architecture that effectively explore correlations among the categories and attributes for better categorical label prediction. Experimental results on nearly one million real-world product images basically validate the effectiveness of the proposed efforts jointly and individually, from which performance gains are observed.

Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos

Person re-identification aims at identifying a certain pedestrian across non-overlapping multi-camera networks in different time and places. Existing person re-identification approaches mainly focus on matching pedestrians on still images, however little attention is paid to person re-identification in videos. Compared to images, video clips contain motion of pedestrians which is crucial to re-identification. Moreover, consecutive video frames present pedestrian appearance with different poses and from different viewpoints, providing valuable information towards addressing the challenge of pose variation, occlusion, and viewpoint change etc. In this paper, we propose a Dense 3D-Convolutional Network (D3DNet) to jointly learn spatio-temporal and appearance features for person re-identification in videos. The D3DNet consists of multiple 3D dense blocks and transition layers. The 3D dense blocks enlarge the receptive fields of visual neurons in spatial and temporal dimensions, leading to discriminative appearance representation as well as short-term and long-term motion information of pedestrians without the requirement of an additional motion estimation module. Moreover, we propose an improved loss function consisting of identification loss and center loss to minimize intra-class variance and maximize inter-class variance simultaneously, towards addressing the challenge of large intra-class variance and small inter-class variance, which is common phenomenon in person re-identification task. Extensive experiments on two widely-used surveillance video datasets, i.e., MARS and iLIDS-VID, have shown the effectiveness of the proposed approach.

Deep Patch Representations with Shared Codebook for Scene Classification

Scene classification is a challenging problem. Compared with object images, scene images are more abstract, which are composed of objects. Object and scene images have different characteristics with different scales and composition structures. How to effectively integrate the local mid-level semantic representation including both object and scene concepts needs to be investigated, which is an important aspect for scene classification. In this paper, the idea of share codebook is introduced by organically integrating deep learning, concept feature and local feature encoding techniques. More specifically, the shared local feature codebook is generated from the combined ImageNet1000 and Places365 concepts (Mixed1365), using convolutional neural networks. As the mixed 1365 features covers all the semantic information including both object and scene concepts, we can extract shared codebook from the mixed 1365 features which only contains a subset of the whole 1365 concepts with the same codebooks size. The shared codebook can not only provide complementary representations without additional codebook training, but also it can be adaptively extracted towards different scene classification tasks. A method of combining both the original codebook and the shared codebook is proposed for scene classification. In this way, more comprehensive and representative image features can be generated for classification. Extensive experimentations conducted on two public dataset validate the effectiveness of the proposed method. Besides, some useful observations are also revealed to show the advantage of shared codebook.

Robust Electric Network Frequency Estimation with Rank Reduction and Linear Prediction

This paper deals with the problem of electric network frequency (ENF) estimation where signal to noise ratio (SNR) is an essential challenge. By exploiting the low-rank structure of the ENF signal from the audio spectrogram, we propose an approach based on robust principle component analysis to get rid of the interference from speech contents and some of the background noise, which in our case can be regarded as sparse in nature. Weighted linear prediction is enforced on the low-rank signal subspace to gain accurate ENF estimation. The performance of the proposed scheme is analyzed and evaluated as a function of SNR, and the Cramér-Rao lower bound (CRLB) is approached at an SNR level above -10dB. Experiments on real datasets have demonstrated the advantages of the proposed method over the state-of-the-art works in terms of estimation accuracy. Specifically, the proposed scheme can effectively capture the ENF fluctuations along the time axis using small number of signal observations while preserving sufficient frequency precision.

SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification

Currently, the surveillance camera-based person re-identification is still challenging because of diverse factors such as peoples changing poses and various illumination. The various poses make it hard to conduct feature matching across images, and the illumination changes make color-based features unreliable. In this paper, we present SKEPRID1, a skeleton-based person re-identification method which handles strong pose and illumination changes jointly. To reduce the impacts of pose changes on re-identification, we estimate the joints positions of a person based on the deep learning technique, and thus make it possible to extract features on specific body parts with high accuracy. Based on the skeleton information, we design a set of local color comparison-based cloth type features, which are resistant to various lighting conditions. Moreover, to better evaluate SKEPRID, we build the PO&LI2 dataset, which has large pose and illumination diversity. Our experimental results show that SKEPRID outperforms state-of-the-art approaches in the case of strong pose and illumination variation.

Visual Content Recognition by Exploiting Semantic Feature Map with Attention and Multi-task Learning

Recent studies have shown that spatial relationships among objects are very important for visual recognition since they provide rich clues on object contexts within images. In this paper, we introduce a novel method to learn Semantic Feature Map (SFM) with attention based deep neural networks for image and video classification in an end to end manner, with an aim to explicitly model spatial object contexts within the images. In particular, for every object proposals obtained from the input image, we extract high-level semantic object features with convolutional neural networks. Then, we explicitly apply gate units to these extracted features for important objects selection and noise removal. These selected object features are organized into the proposed SFM, which is a compact and discriminative representation with the spatial information among objects preserved. Finally, we employ either Fully Convolutional Networks (FCN) or Long-Short Term Memory (LSTM) as classifiers on top of the SFM for content recognition, which are expected to exploit the spatial relationships among objects. We also introduce a novel multi-task learning framework to help learn the model parameters in the training phase. It consists of a basic image classification loss in cross entropy form, an object localization loss to guide important object selection, as well as a grid labeling loss to predict object labels at SFM grids. We conduct extensive evaluations and comparative studies to verify the effectiveness of the proposed approach and very promising results are obtained on Pascal VOC 2007/2012 and MS-COCO benchmarks for image classification. In addition, the SFMs learned on the image domain are transferred to video classification on CCV and FCVID benchmarks and the results successfully demonstrate its robustness and generalization capability.

Collaborations on YouTube: From Unsupervised Detection to the Impact on Video and Channel Popularity

YouTube is one of the most popular platforms for streaming of user-generated video. Nowadays, professional YouTubers have organized in so called multi-channel networks (MCNs). These networks offer services like brand deals, equipment, and strategic advice in exchange for a share of the YouTubers' revenue. A major strategy to gain more subscribers and, hence, revenue is collaborating with other YouTubers. Yet, collaborations on YouTube have not been studied in a detailed quantitative manner. This paper aims to close this gap. Therefore, we state three contributions. First, we collect a YouTube dataset covering video statistics over three months for 7,942 channels. Second, we design a framework for detection on an previously unknown number of persons in videos for analysis of collaborations in YouTube videos using a Deep Neural Network (DNN) based approach, named CATANA. Third, we analyze about seven years of video content and use CATANA to answer research questions providing guidance for YouTubers and MCNs for efficient collaboration strategies. Thereby, we focus on collaboration frequency and partner selectivity, (ii) the influence of MCNs on channel collaborations, (iii) collaborating channel types, and (iv) the impact of collaborations on video and channel popularity. Our results show that collaborations are in many cases significantly positive for the collaborating channels showing often more than 100% popularity growth compared with non-collaboration videos.

Unsupervised Person Re-identification: Clustering and Fine-tuning

The superiority of deeply learned pedestrian representations has been reported in very recent literature of person re- identification (re-ID). In this paper, we consider the more pragmatic issue of learning a deep feature with no or only a few labels. We propose a progressive unsupervised learning (PUL) method to transfer pretrained deep representations to unseen domains. Our method is easy to implement and can be viewed as an effective baseline for unsupervised re-ID feature learning. Specifically, PUL iterates between 1) pedestrian clustering and 2) fine-tuning of the convolutional neural network (CNN) to improve the original model trained on the irrelevant labeled dataset. Since the clustering results can be very noisy, we add a selection operation between the clustering and fine-tuning. At the beginning when the model is weak, CNN is fine-tuned on a small amount of reliable examples which locate near to cluster centroids in the feature space. As the model becomes stronger in subsequent iterations, more images are being adaptively selected as CNN training samples. Progressively, pedestrian clustering and the CNN model are improved simultaneously until algorithm convergence. This process is naturally formulated as self-paced learning. We then point out promising directions that may lead to further improvement. Extensive experiments on three large-scale re-ID datasets demonstrate that PUL outputs discriminative features that improve the re-ID accuracy. Our code has been released at

Personalized Emotion Recognition by Personality-aware High-order Learning of Physiological Signals

Emotion recognition methodologies from physiological signals are increasingly becoming personalized, due to the subjective responses of different subjects to physical stimuli. Existing works mainly focused on modelling the involved physiological corpus of each subject, without considering the psychological factors, such as interest and personality. The latent correlation among different subjects has also been rarely examined. In this paper, we propose to investigate the influence of personality on emotional behavior in a hypergraph learning framework. Assuming that each vertex is a compound tuple (subject, stimuli), multi-modal hypergraphs can be constructed based on the personality correlation among different subjects and on the physiological correlation among corresponding stimuli. To model the different importance within vertices, hyperedges and modalities, we assign each of them with weight. Doing so allows the learning procedure to be conducted on the vertex-weighted multi-modal multi-task hypergraphs, thus simultaneously modelling the emotions of multiple subjects. The estimated emotion relevance is employed for emotion recognition. We carry out extensive experiments on the ASCERTAIN dataset and the results demonstrate the superiority of the proposed method, as compared to the state-of-the-art approaches.

Modeling Dyadic and Group Impressions with Inter-Modal and Inter-Person Features

This paper proposes a novel feature-extraction framework for inferring impressed personality traits, emergent leadership skills, communicative competence and hiring decisions. The proposed framework extracts multimodal features, describing each participant's nonverbal activities. It captures inter-modal and inter-person relationships in interaction and captures how the target interactor generates nonverbal behavior when the other interactors also generate the nonverbal behavior. The inter-modal and inter-personal patterns are identified as frequent co-occurring events based on graph clustering from multimodal sequences. The framework can be applied to any type of interaction task. The proposed framework is applied to the SONVB corpus, which is an audio-visual dataset collected from dyadic job interviews, and the ELEA audio-visual data corpus, which is a dataset collected from group meetings. We evaluate the framework on a binary classification task of 15 impression variables in two data corpora. The experimental results show that the model trained with co-occurrence features is more accurate than previous models for 14 out of 15 traits.

Cross-Modality Feature Learning via Convolutional AutoEncoder

Learning robust and representative feature across multiple modalities has been a fundamental problem in machine learning and multimedia fields. In this paper, we propose a novel MUltimodal Convolutional AutoEncoder (MUCAE) approach to learn representative features from visual and textual modalities. For each modality, we integrate the convolutional operation into an autoencoder framework to learn a joint representation from original image and text content. We optimize the convolutional autoencoders of different modalities jointly by exploiting the correlation between the hidden representations from the convolutional autoencoders, in particular by minimizing both the reconstructing error of each modality and the correlation divergence between the hidden feature of different modalities. Compared to the conventional solutions relying on hand-crafted features, the proposed MUCAE approach encodes features from image pixels and text characters directly and produces more representative and robust features. We evaluate MUCAE on cross media retrieval as well as unimodal classification tasks over real-world large-scale multimedia databases. Experimental results have shown that MUCAE performs better than the state-of-the-arts methods.

Applying Deep Learning to Epilepsy Seizure Detection and Brain Mapping

Deep convolution neural network (CNN) has achieved remarkable results in computer vision tasks for end-to-end learning. We evaluate here the power of a deep CNN to learn robust features from raw EEG data to detect seizures. Seizure are hard to detect as they vary both inter- and intra-patient. In this paper, we use a deep CNN model for seizure detection task on an open access EEG epilepsy dataset collected at the Childrens Hospital Boston. Our deep learning model is able to extract spectral, temporal features from EEG epilepsy data and use them to learn general structure of a seizure that is less sensitive to variations. Our method produced an overall sensitivity of 90.00 %, specificity of 91.65% and accuracy of 98.05% for whole dataset of 23 patients. Hence, it can be used as an excellent cross-patient classifier. The results show that our model performs better than previous state of the art models for cross-patient seizure detection task. The proposed model can also visualize special orientation of band power features. We use correlation maps to relate spectral amplitude features to the output in the form of images. By using the results from our deep learning model, this visualization method can be used as an effective multimedia tool for producing quick and relevant brain mapping images that can be used by medical experts for further investigation.

Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data

Transfer learning, which focuses on finding a favorable representation for instances of different domains based on auxiliary data, can mitigate the divergence between domains through knowledge transfer. Recently, increasing efforts on transfer learning have employed deep neural network (DNN) to learn more robust and higher level feature representations to better tackle cross-media disparity. However, only a few papers consider the correction and semantic matching between multi-layer heterogeneous domain networks. In this paper, we propose a deep semantic mapping model for heterogeneous multimedia transfer learning (DHTL) using co-occurrence data. More specifically, we integrate the DNN with canonical correlation analysis (CCA) to derive a deep correlation subspace as the joint semantic representation for associating data across different domains. In the proposed DHTL, a multi-layer correlation matching network across domains is constructed, in which the CCA is combined to bridge each pair of domain-specific hidden layers. To train the network, a joint objective function is defined and the optimization processes are presented. When the deep semantic representation is achieved, the shared features of the source domain are transferred for task learning in the target domain. Extensive experiments for three multimedia recognition applications demonstrate that the proposed DHTL can effectively find deep semantic representations for heterogeneous domains, and is superior to the several existing state-of-the-art methods for deep transfer learning.

Unsupervised Similarity Learning through Rank Correlation and kNN Sets

The increasing amount of multimedia data collections available today evinces the pressing need for methods capable of indexing and retrieving this content. Despite of the continuous advances in multimedia features and representation models, to establish an effective measure for comparing different multimedia objects still remains a challenging task. While supervised and semi-supervised techniques made relevant advances on similarity learning tasks, scenarios where labeled data is non-existent require different strategies. In such situations, unsupervised learning has been established as a promising solution, capable of considering the contextual information and the dataset structure for computing new similarity/dissimilarity measures. This paper extends a recent unsupervised learning algorithm which uses an iterative re-ranking strategy to take advantage of different kNN sets and rank correlation measures. Two novel approaches are proposed for computing the kNN sets and their corresponding top-k lists. The proposed approaches were validated in conjunction with various rank correlation measures, yielding superior effectiveness results in comparison with previous works. In addition, we also evaluate the ability of the method in considering different multimedia objects, conducting an extensive experimental evaluation on various image and video datasets.

A Network based Virtual Reality Simulation Training Approach for Orthopedic Surgery

The focus of this paper is on the adoption of a next generation internet and Virtual Reality (VR) technologies for the development of fully immersive and haptic simulators for training of medical residents in a surgical process termed Less Invasive Stabilization System (LISS) plating surgery. LISS surgery is an orthopaedic surgical process developed for healing of fractured femur bone. Development of such simulators is a complex task which involves multiple systems, technologies and human experts. Emerging Next Generation Internet technologies were used to develop the haptic based collaborative simulator. A standalone fully immersive surgical simulator was also developed using HTC Vive. Expert surgeons played an important role in developing the simulator system; use cases of the target surgical processes were built using a modeling language called the engineering Enterprise Modeling Language. The impact of the using the simulators has been explored through interactions with residents during multiple phases which underscores the potential of using such simulators in medical training.

Thinking Like a Director: Film Editing Patterns for Virtual Cinematographic Storytelling

This paper introduces Film Editing Patterns (FEP), a language to formalize film editing practices and stylistic choices found in movies. FEP constructs are constraints expressed over one or more shots from a movie sequence that characterize changes in cinematographic visual properties such as shot size, region, angle of on-screen actors. We first present the elements of the FEP language, then introduce its usage in annotated film data, and finally describe how it can support users in the creative design of film sequences in 3D, more specifically: (i) we present an application to craft edited filmic sequences from 3D animated scenes that uses FEPs to support the user in selecting camera framings and editing choices that follow certain best practices used in cinema; (ii) we conduct an evaluation of the application with professional and non-professional filmmakers. The evaluation suggests that users generally appreciate the idea of FEP, and that it can effectively help novice and medium experienced users in crafting film sequences with little training and satisfying results.

Convolutional Attention Networks for Scene Text Recognition

In this paper, we present convolutional attention networks (CAN) for unconstrained scene text recognition. Recent dominant approaches for scene text recognition are mainly based on convolutional neural networks (CNN) and recurrent neural networks (RNN), where the CNN encodes images and the RNN generates character sequences. Our CAN is different from these methods, which is completely built on CNN and combines attention mechanism. The distinctive characteristics of our method include: (1) CAN follows encoder-decoder architecture, in which the encoder is a deep two-dimensional CNN and the decoder is a one-dimensional CNN. (2) The attention mechanism is applied in every convolutional layer of the decoder, and we propose a novel spatial attention method using average pooling. (3) Position embeddings are equipped in both spatial encoder and sequence decoder to give our networks a sense of locations. We conduct experiments on standard datasets for scene text recognition, including Street View Text, IIIT5K and ICDAR datasets. The experimental results validate the effectiveness of different components, and show our convolutional-based method achieves state-of-the-art or competitive performance than prior works, even without the use of RNN.

Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment

In this paper, a two-stage refinement network is proposed for facial landmarks detection on unconstrained conditions. Our model can be divided into two modules, namely Head Attitude Classification (HAC) module and Domain-Specific Refinement (DSR) module. Given an input facial image, HAC adopts multi-task learning mechanism to detect the head pose and obtain an initial shape. Based on the obtained head pose, DSR designs three different CNN-based refinement networks trained by specific domain respectively, and automatically selects the most approximate network for the landmarks refinement. In our framework, HAC combines head pose classification with facial landmarks detection to improve the accuracy of head pose estimation, as well as obtaining a robust initial shape. Moreover, an adaptive sub-network training strategy applied in the DSR module can strongly solve the issue of traditional multi-view methods that an improperly selected sub-network may result in alignment failure. The extensive experimental results on two public datasets, AFLW and 300W, confirm the validity of our model.

Probability model-based early Merge mode decision for dependent views coding in 3D-HEVC

As a 3D extension to High Efficiency Video Coding (HEVC) standard, 3D-HEVC is developed to improve the coding efficiency of multi-view videos. It inherits the prediction modes from HEVC, yet both motion estimation (ME) and disparity estimation (DE) are required for the coding of dependent views. This improves coding efficiency at the cost of huge computational costs. In this paper, an early Merge mode decision approach is proposed for dependent texture views and dependent depth maps coding in 3D-HEVC based on priori posterior probability model. Firstly, the priori probability model is established by exploiting the hierarchical and inter-view correlations from those previously encoded blocks. Secondly, the posterior probability model is builded by using the coded block flag (CBF) of the current coding block. Finally, the joint priori and posterior probability model is adopted to early terminate Merge mode decision for both dependent texture views and dependent depth maps coding. Experimental results show that the proposed approach saves 45.2% and 30.6% encoding time on average for dependent texture views and dependent depth maps coding while maintaining negligible loss of coding efficiency, respectively.

A Hybrid Approach for Spatio-temporal Validation of Declarative Multimedia Documents

Declarative multimedia documents represent the description of multimedia applications in terms of media items and relationships among them. Relationships specify how media items are dynamically arranged in time and space during runtime. Although a declarative approach usually facilitates the authoring task, authors can still make mistakes due to incorrect use of language constructs or inconsistent or missing relationships in a document. In order to properly support multimedia application authoring, it is important to provide tools with validation capabilities. Document validation can indicate possible inconsistencies in a given document to an author, so that it can be revised before deployment. Although very useful, multimedia validation tools are not often provided by authoring tools. This work proposes a multimedia validation approach that relies on a formal model, called Simple Hypermedia Model (SHM). SHM is used for representing a document for the purpose of validation. An SHM document is validated using a hybrid approach based on two complimentary techniques. The first one captures the document spatio-temporal layout in terms of its state throughout its execution by means of a rewrite theory and validation is performed through model-checking. The second one captures the document layout in terms of intervals and event occurrences by means of SMT (Satisfiability Modulo Theories) formulas and validation is performed through SMT solving. Due to different characteristics of both approaches, each validation technique complements the other in terms of expressiveness of SHM and tests to be checked. We briefly present validation tools that use our approach. They were evaluated with real NCL and web documents and by usability tests.


Publication Years 2005-2018
Publication Count 629
Citation Count 3456
Available for Download 628
Downloads (6 weeks) 2978
Downloads (12 Months) 27707
Downloads (cumulative) 269418
Average downloads per article 429
Average citations per article 5
First Name Last Name Award
Ruzena R Bajcsy ACM Distinguished Service Award (2003)
ACM AAAI Allen Newell Award (2001)
ACM Fellows (1996)
Susanne Boll ACM Senior Member (2012)
Surendar Chandra ACM Senior Member (2009)
Shih Fu Chang ACM Fellows (2017)
Kuan-Ta Chen ACM Senior Member (2015)
Matthew L Cooper ACM Distinguished Member (2016)
ACM Senior Member (2010)
Jon Crowcroft ACM Fellows (2002)
Alberto Del Bimbo ACM Distinguished Member (2016)
Abdulmotaleb El Saddik ACM Distinguished Member (2010)
ACM Senior Member (2008)
Claudio A. Feijoo ACM Senior Member (2009)
Wen Gao ACM Fellows (2013)
Shahram Ghandeharizadeh ACM Software System Award (2008)
Soheil Ghiasi ACM Senior Member (2015)
Giorgio Giacinto ACM Senior Member (2010)
Andreas Girgensohn ACM Distinguished Member (2008)
Michael L Gleicher ACM Distinguished Member (2011)
Tracy Anne Hammond ACM Senior Member (2015)
Lynda Hardman ACM Distinguished Member (2014)
ACM Senior Member (2013)
Xian-Sheng Hua ACM Distinguished Member (2015)
ACM Senior Member (2009)
Tiejun Huang ACM Senior Member (2013)
Ramesh C Jain ACM Fellows (2003)
Wessel Kraaij ACM Distinguished Member (2017)
ACM Senior Member (2007)
James Kurose ACM Fellows (2001)
Ming Li ACM Fellows (2006)
Saverio Mascolo ACM Senior Member (2009)
Tao Mei ACM Distinguished Member (2016)
ACM Senior Member (2012)
Filippo Menczer ACM Distinguished Member (2013)
Saraju P. Mohanty ACM Senior Member (2010)
Klara Nahrstedt ACM Fellows (2012)
Nuria Oliver ACM Fellows (2017)
ACM Distinguished Member (2015)
ACM Senior Member (2013)
Dan R Olsen ACM Fellows (2006)
Beng Chin Ooi ACM Fellows (2011)
Ming Ouhyoung ACM Senior Member (2007)
Sethuraman Panchanathan ACM Senior Member (2009)
K. K. Ramakrishnan ACM Fellows (2017)
Christoph Rensing ACM Senior Member (2018)
Joel Jose Rodrigues ACM Senior Member (2011)
Keith Ross ACM Fellows (2012)
Lawrence A Rowe ACM Fellows (1998)
Yong Rui ACM Fellows (2017)
ACM Distinguished Member (2009)
ACM Senior Member (2006)
Michael Rung-Tsong Lyu ACM Fellows (2015)
Mahadev Satyanarayanan ACM Software System Award (2016)
ACM Fellows (2002)
Henning Schulzrinne ACM Fellows (2014)
David Ayman Shamma ACM Distinguished Member (2016)
ACM Senior Member (2011)
Prashant J Shenoy ACM Distinguished Member (2009)
ACM Senior Member (2006)
Frank Shipman ACM Distinguished Member (2009)
Shervin Shirmohammadi ACM Senior Member (2017)
Malcolm Slaney ACM Senior Member (2018)
Ralf Steinmetz ACM Fellows (2001)
Richard Szeliski ACM Fellows (2008)
Bart Thomee ACM Senior Member (2016)
Donald F Towsley ACM Fellows (1997)
Matthew A Turk ACM Senior Member (2007)
Benjamin W. Wah ACM Fellows (2004)
Jingdong Wang ACM Senior Member (2014)
Shuicheng Yan ACM Distinguished Member (2016)
HongJiang Zhang ACM Fellows (2007)
Hui Zhang ACM Fellows (2005)
Lei Zhang ACM Senior Member (2011)
Michelle Zhou ACM Distinguished Member (2009)
ACM Senior Member (2007)
Roger Zimmermann ACM Distinguished Member (2017)

First Name Last Name Paper Counts
Changsheng Xu 15
Shuicheng Yan 14
Mohamed Hefeeda 14
Tatseng Chua 14
Mohan Kankanhalli 11
Weitsang Ooi 10
Klara Nahrstedt 10
Chenghsin Hsu 9
Shervin Shirmohammadi 8
Pradeep Atrey 8
James She 8
Roger Zimmermann 8
Gheorghita Ghinea 8
Tao Mei 7
Ralf Steinmetz 7
Carsten Griwodz 7
Yong Rui 7
Qi Tian 6
Pål Halvorsen 6
Mohammad Hossain 5
Changwen Chen 5
Abdulmotaleb El Saddik 5
Pablo César 5
Balakrishnan Prabhakaran 5
Shihfu Chang 5
Wolfgang Effelsberg 5
Meng Wang 5
Abdulmotaleb El Saddik 5
Hari Sundaram 5
Jitao Sang 5
Ming Cheung 5
Jiangchuan Liu 5
Namunu Maddage 5
Svetha Venkatesh 5
Zongpeng Li 4
Dick Bulterman 4
Shipeng Li 4
Xiansheng HUA 4
Shueng Chan 4
Alberto Del Bimbo 4
Richang Hong 4
Ramesh Jain 4
Gabriel Muntean 4
Michael Zink 4
Oluwakemi Ademoye 4
Marcel Worring 3
Romulus Grigoraş 3
Géraldine Morin 3
Prashant Shenoy 3
Laurencetianruo Yang 3
Stephan Kopf 3
Séamus McLoone 3
Zhengjun Zha 3
Eckehard Steinbach 3
Tomás Ward 3
Nabil Sarhan 3
Stefano Berretti 3
Gwendal Simon 3
Jinhui Tang 3
WeiQi Yan 3
Alan Hanjalic 3
Rongrong Ji 3
Jiwu Huang 3
Wenwu Zhu 3
Ruzena Bajcsy 3
Rui Yang 3
Mohamad Eid 3
Si Liu 3
Zheng Yan 3
Yong Rui 3
Songqing Chen 3
Mark Claypool 3
Baochun Li 3
Kien Hua 3
Niall Murray 3
Chuan Wu 3
Kuanta Chen 3
Robert Deng 3
Luming Zhang 3
Alexandru Iosup 3
Guojun Qi 3
Gregorij Kurillo 3
Ketan Mayer-Patel 3
Lifeng Sun 2
Francesco De Natale 2
Lawrence Rowe 2
Michael Pearce 2
Venugopal Vasudevan 2
Maha Abdallah 2
Linjun Yang 2
Qingchen Zhang 2
Indranil Gupta 2
Bin Cheng 2
Ramesh Jain 2
Xue Li 2
Anup Basu 2
Djamila Aouada 2
Aisling Kelliher 2
Susanne Boll 2
Xiaoshan Yang 2
Yifang Yin 2
Kasim Candan 2
Ming Li 2
Haizhou Li 2
Bo Shen 2
Stefan Wilk 2
Zechao Li 2
Dag Johansen 2
Thomas Zinner 2
Amr Rizk 2
Jie Yang 2
Wolfgang Kellerer 2
Jun Ye 2
Andreas Girgensohn 2
Lynn Wilcox 2
Houqiang Li 2
Wei Cheng 2
Sabu Emmanuel 2
Jiwu Huang 2
Wuchi Feng 2
Lea Skorin-Kapov 2
Rynson Lau 2
Zhi Wang 2
Jia Li 2
Jinjun Chen 2
Wanmin Wu 2
Houqiang Li 2
Rahul Potharaju 2
Mubarak Shah 2
Yao Liu 2
Steven Hoi 2
Huanbo Luan 2
Gerald Friedland 2
Matthias Baldauf 2
Yuru Lin 2
Xiaofei He 2
Nicu Sebe 2
Munchoon Chan 2
Brett Adams 2
Xu Cheng 2
Shiqiang Yang 2
Kien Hua 2
Chusong Chen 2
Zhenyu Yang 2
Hefei Ling 2
Hendrik Knoche 2
Robert Kinicki 2
Xi Zhou 2
Weiqi Luo 2
Nicola Conci 2
Jongeun Cha 2
Vamsidhar Gaddam 2
Ragnar Langseth 2
Zhikui Chen 2
Min Song 2
Xiangyu Wang 2
Yiping Hung 2
Vincent Oria 2
Ahsan Arefin 2
Matti Siekkinen 2
Liang Zhou 2
Phuoc Tran-Gia 2
Michael Gleicher 2
Hongjiang ZHANG 2
Geoff West 2
Mohan Kankanhalli 2
Bing Wang 2
Don Towsley 2
Chunying Huang 2
Liang Chen 2
Xun Yang 2
Kiana Calagari 2
Deng Cai 2
Stefano Petrangeli 2
Filip De Turck 2
David Shamma 2
Peng Cui 2
Yun Fu 2
Sebastien Mondet 2
Stephen Gulliver 2
Zhenhua Li 2
Min Xu 2
Hai Jin 2
Xiaopeng Li 2
Jiunlong Huang 2
Siqi Shen 2
Ming Yan 2
Jordi Batalla 2
Lawrence Rowe 2
Yiliang Zhao 2
Yipeng Zhou 2
Pascal Frossard 2
Yeongju Lee 2
Hanqing Lu 2
Michael Houle 2
Jichao Sun 2
Francesco De Natale 2
Dacheng Tao 2
Xin Zhang 2
Xiaobai Liu 2
Mohamed Daoudi 2
Pavan Turaga 2
Daniel Gatica-Perez 2
Simon Moncrieff 2
Yugang Jiang 2
Chongwah Ngo 2
Xi Shao 2
Fuhao Zou 2
Peiyu Lin 2
Jiebo Luo 2
Christian Timmerer 2
Yuansong Qiao 2
Zhenwei Zhao 2
Shuqiao Zhao 2
Meng Wang 2
Arijit Sur 2
Bineng Zhong 2
Chongwah Ngo 2
Björn Ottersten 2
Divyashri Bhat 2
Derek Eager 2
Jesse Jin 2
Keqiu Li 2
Ajay Gopinathan 2
Tianzhu Zhang 2
Gang Hua 2
Bogdan Carbunar 2
Michael Needham 2
Wei Liu 2
Jamesze Wang 2
Azzedine Boukerche 2
Surendar Chandra 2
Yungyu Chuang 1
Trent Boulter 1
Shaoyan Sun 1
Yingqing Xu 1
Longyu Zhang 1
Waichong Chia 1
Gareth Tyson 1
Bart Thomée 1
Fabrício Benevenuto 1
K Wijayaratne 1
Polle Zellweger 1
Changnian Zhang 1
Haitao Li 1
Qinghua Huang 1
Song Tan 1
Tianzhu Zhang 1
Oryina Akputu 1
Yuan Yang 1
Dan Guo 1
Maria Sapino 1
Qinghao Hu 1
Rodrigo Ceballos 1
Zhaoqing Pan 1
Cees Snoek 1
Lingjyh Chen 1
Viktor Eide 1
Hsinmin Wang 1
Caiming Zhang 1
Minghsuan Yang 1
Zhong Zhou 1
Liquan Shen 1
Xiangyang Wang 1
Jack Jansen 1
Matthew Turk 1
Richard Szeliski 1
Zixia Huang 1
Carlos Martin 1
Murat Russell 1
Shafiq Réhman 1
Sen Wang 1
Boqing Gong 1
Abhinav Gupta 1
Rita Cucchiara 1
Donglin Cao 1
Longyin Wen 1
Aurora Tulilaulu 1
Joonas Paalasmaa 1
Xiansheng Hua 1
Chabane Djeraba 1
Ramazan Ayguun 1
Yehia Elkhatib 1
Ioannis Arapakis 1
Danielle Sauer 1
Kotaro Nakayama 1
Shunyun Hu 1
Hui Wang 1
Gianluigi Ciocca 1
Narasimha Reddy 1
Mary Buchanan 1
Walter Bender 1
Brian Smith 1
Leon Pan 1
Waipun Yiu 1
Yosiyuki Takahasi 1
Jingdong Wang 1
Jiyan Wu 1
Wengang Zhou 1
Meng Wang 1
Sicong Liu 1
Beatrice Ionascu 1
Yi Yang 1
Junwen Wu 1
Mohan Trivedi 1
Xing Jin 1
John Kassebaum 1
Alejandro Jaimes 1
Jean Vesin 1
Manoj Prasad 1
Tracy Hammond 1
Hanwang Zhang 1
Yue Gao 1
Alaa Halawani 1
Junliang Xing 1
Hannu Toivonen 1
Yong Rui 1
Hangzai Luo 1
Javed Khan 1
Jonathan Walpole 1
Li Jie 1
Jinyuan Jia 1
Norman Sadeh 1
Cormac Sreenan 1
Wei Jiang 1
Mauro Cherubini 1
Hui Zhang 1
Arthur Money 1
Robert Rieger 1
Mozhdeh Seifi 1
Jinye Peng 1
Stefanos Antaris 1
Ashvin Goel 1
James Clark 1
Gang Wang 1
Chang Liu 1
Pinchun Wang 1
Anupam Das 1
Chengyuan Lai 1
Jason Quinlan 1
Lei Zhang 1
Weihua Li 1
Daniel Ellis 1
Pedro Inácio 1
Dong Xu 1
Xianglong Liu 1
Yadong Mu 1
Bo Lang 1
Xueqi Cheng 1
Weisong Shi 1
Suhuai Luo 1
Lei Cao 1
Haojun Wu 1
Weita Chu 1
Suiping Zhou 1
Zhangyu Chang 1
Wanchun Dou 1
Jun Mi 1
Derjiunn Deng 1
Mi Jing 1
Hao Qin 1
Xingzi Wen 1
Francisco Herrera 1
Shangguang Wang 1
Ao Zhou 1
Fangchun Yang 1
Fang Xu 1
Wei Wang 1
Haibo Chen 1
Kianlee Tan 1
Meihui Zhang 1
Wolfgang Klas 1
Karine Pires 1
Jinhan Park 1
Dario Comanducci 1
Julia Sussner 1
Lex Stein 1
Ellen Do 1
Branka Lakic 1
Henrique Da Silva 1
Kai Hwang 1
Ke Gu 1
Xiaokang Yang 1
Prabin Bora 1
Zheng Yan 1
Liangtien Chia 1
Junhu Wei 1
Wentong Cai 1
Nicolas Georganas 1
Kenichi Suzuki 1
Chingling Fan 1
Wei Chen 1
Feng Liu 1
Bin Song 1
Honggang Wang 1
Chinghsien Hsu 1
Zenggang Xiong 1
Zhan Qin 1
Jingbo Yan 1
Cong Wang 1
Keke Gai 1
Zhong Ming 1
Jinhui Tang 1
Kanav Kahol 1
Priyamvada Tripathi 1
Troy McDaniel 1
Ramon Aparicio-Pardo 1
Lijun Yin 1
Nishan Canagarajah 1
Norman Murray 1
Maureen Thomas 1
Crysta Metcalf 1
Elaine Huang 1
Thomas Haenselmann 1
Chuohao Yeo 1
Junliang Xing 1
Rafael Cabeza 1
Bo Wang 1
Jinqiao Wang 1
Abu Rahman 1
Yenyu Lin 1
Liang Lin 1
Balasubramanian Raman 1
Meng Wang 1
Sergio Benini 1
Riccardo Leonardi 1
Junshi Huang 1
Matthew White 1
Long Vu 1
Jin Liang 1
Anoop Rajagopal 1
Qiufang Fu 1
Weishinn Ku 1
Qiang Chen 1
Shihyao Lin 1
Herman Engelbrecht 1
John Shea 1
Konstantin Pogorelov 1
Nicola Adami 1
Ana Silva 1
Jixiang Du 1
Jialin Peng 1
Xupeng Lin 1
Philippe Bertin 1
Maaike De Boer 1
Hao Zhang 1
Philipp Gysel 1
Peijia Zheng 1
Linxie Tang 1
Jinhui Tang 1
Brian Lee 1
Wanlei Zhao 1
S Chan 1
Liqiang Nie 1
Haakon Riiser 1
Xinmei Tian 1
Paul Patras 1
Jianfei Cai 1
Huahui Wu 1
Yicheng Tu 1
Jianhai Zhang 1
Meng Xing 1
Ming Dong 1
Jiali Duan 1
Yongqiang Yao 1
Yunhong Wang 1
Bruno Mirbach 1
Joel Rodrigues 1
Yi Zhu 1
Haojin Yang 1
Tatjen Cham 1
Qinming He 1
Michael Wallick 1
Howard Wactlar 1
Dan Tsafrir 1
Xiansheng Hua 1
Giorgio Giacinto 1
Pedro Holanda 1
Jianting Guo 1
Ruchira Naskar 1
Howard Leung 1
Vincent Charvillat 1
Mikkel Næss 1
Ioannis Ivrissimtzis 1
Feng Wang 1
Sasu Tarkoma 1
Ning Liu 1
Yirong Zhuang 1
Marco Grangetto 1
Lorenzo Bovio 1
Piotr Didyk 1
José MartíNez 1
Bo Geng 1
Albert Banchs 1
Zhiyong Feng 1
Feifei Zhang 1
Qirong Mao 1
Sylviobarbon Jr 1
Petr Sojka 1
Driss Aboutajdine 1
Suneeta Agarwal 1
Adelelu Jia 1
Neeraj Kumar 1
Muzhou Xiong 1
Leonardo Favario 1
Judith Redi 1
Akanksha Tiwari 1
Zhenguang Liu 1
Dror Feitelson 1
Kartik Gopalan 1
Hongjiang Zhang 1
Naghmeh Khodabakhshi 1
Kuowei Wu 1
Lorenzo Seidenari 1
Claudio Baecchi 1
Giuseppe Cofano 1
Anh Nguyen-Ngoc 1
Andrzej Beben 1
Haiyang Wang 1
Parag Agarwal 1
Munmun De Choudhury 1
Weiming Hu 1
Ante Jurčević 1
Yowjian Lin 1
Gang Peng 1
Lan Huang 1
Mark Hendrikx 1
Yantao Zheng 1
Chenghsin Hsu 1
Robert Pless 1
Wenkuang Kuo 1
Peng Li 1
Hassan Omar 1
Karel Vandenbroucke 1
Dimitri Schuurman 1
Steven Verstockt 1
Stefano D'Aronco 1
Luca De Cicco 1
Piotr Krawiec 1
Bo Yang 1
Chris Bleakley 1
Yunfei Chen 1
Jianguo Jiang 1
Simone Milani 1
W Culbertson 1
Ron Shacham 1
Tiecheng Liu 1
John Kender 1
Jing Liu 1
Peter Knees 1
Weiwei Xu 1
Shengmin Liu 1
Feng Liu 1
Prakash Kolan 1
Baojie Fan 1
Lianqing Liu 1
Haibin Yu 1
Edip Demirbilek 1
Patrick Flynn 1
Nicolas Alt 1
Hanhui Li 1
Marek Meyer 1
Yizhou Yu 1
Mingjie Jiao 1
Sergio Canazza 1
Wenyan Hu 1
Min Liang 1
Fraser Blackmun 1
Meiyii Lim 1
Seshadri Venkatagiri 1
Byunghee Jung 1
Zhongfei Zhang 1
Mohamad Rabbath 1
Tom Malzbender 1
Junehwa Song 1
Shin'ichi Satoh 1
Meng Wang 1
Gaurav Bhatnagar 1
Yadong Mu 1
Thanassis Rikakis 1
Joonwon Lee 1
Qingfang Zheng 1
Frederic Thouin 1
Yandong Tang 1
Vineet Gokhale 1
Rahul Chaudhari 1
Jianke Zhu 1
Shengsheng Qian 1
Tatsheng Chua 1
Carlo Fantozzi 1
Yukwong Kwok 1
Stuart Whyte 1
Richard Han 1
Qin Lv 1
Kaikai Liu 1
Ruifan Li 1
Ulrich Newmann 1
Pooja Agarwal 1
Felix Yu 1
Derek Bunn 1
Xuyong Yang 1
Lei Pang 1
Mulin Chen 1
Qi Wang 1
Virgílio Almeida 1
Jussara Almeida 1
Zibin Wang 1
Simone Bianco 1
Saraju Mohanty 1
Xue Liu 1
Bisheng Chen 1
Ligang Zheng 1
Lexing Xie 1
Jian Cheng 1
Yajuan Zhang 1
Jiantao Zhou 1
Alexander Hauptmann 1
Medy Sanadidi 1
Matthew Cooper 1
Dhiraj Joshi 1
Ross Maciejewski 1
Shujie Liu 1
Roy Campbell 1
Pietro Pala 1
Mingfang Weng 1
Jeroen Famaey 1
Jaegeuk Kim 1
Nishanth Sastry 1
Bo Zhang 1
Ali El Essaili 1
Jongtack Jung 1
Bharat Bhargava 1
Minoru Nakayama 1
Jiangchuan Liu 1
Ming Ouhyoung 1
Kahphooi Seng 1
Shuhui Jiang 1
Yue Wu 1
Kuangyu Chang 1
Peisong Wang 1
Rynson Lau 1
Jiqing Wen 1
Hui Mao 1
Yuanyan Tang 1
Tony Sun 1
Hong Shen 1
Chihyi Chiu 1
Thanh Dang 1
Chinchen Chang 1
Ankita Lathey 1
Qianqian Hu 1
Shengzhong Feng 1
Mao Ye 1
Hui Xu 1
Zhenhui Yuan 1
Amir Mazaheri 1
Divya Singhal 1
Giuseppe Serra 1
Dongying Gong 1
Dan Ventura 1
Xi Wang 1
Jiwu Huang 1
Julio Valdés 1
Yi Yang 1
Shelley Buchinger 1
Prabhu Natarajan 1
Jyh Jang 1
Dilip Krishnappa 1
Beomjoo Seo 1
Karsten Schwan 1
Yunqing Shi 1
Zhengding Lu 1
Zhaoyang Zhang 1
William Seager 1
Mark Corner 1
Wei Wei 1
Zheng Guo 1
Frédéric Boudon 1
Yong Wei 1
Heng Liu 1
Lei Zhang 1
Rainer Lienhart 1
Guillermo Cisneros 1
Weisi Lin 1
Touradj Ebrahimi 1
Zhihan Lv 1
Marcella Cornia 1
Matti Nelimarkka 1
Daniel Johnson 1
Minjun Li 1
Wei Hu 1
Farid Melgani 1
Mauricio Orozco 1
Hengtao Shen 1
Yuli Gao 1
Xiangyang Xue 1
Yu Zhang 1
Jaling Wu 1
Shihchia Huang 1
Yang Li 1
Prasant Mohapatra 1
Tsungnan Lin 1
Ingmar Franke 1
Yowon Jeong 1
Xueyan Tang 1
Brandon Amos 1
Kanchan Bahirat 1
Balakrishnan Prabhakaran 1
Björn Jónsson 1
Michael Franklin 1
Kadangode Ramakrishnan 1
Zhi Wang 1
Bowen Ding 1
Yipeng Zhou 1
Hao Yin 1
Chuang Lin 1
Harry Agius 1
Yao Lu 1
Bohao Chen 1
Bingkun Bao 1
Yusen Li 1
Sujit Dey 1
Junjue Wang 1
Haitian Pang 1
Guangling Hou 1
Xiang Li 1
Feng Qiu 1
Jiebo Luo 1
Evangelos Georganas 1
Dongyu Liu 1
Jianming Lv 1
Sakirearslan Ay 1
Senching Cheung 1
Chihyi Chiu 1
Nimesha Ranasinghe 1
Hari Gupta 1
Benjamin Wah 1
Sibaji Gaj 1
Busung Lee 1
Lei Shu 1
Yinghua Li 1
Boran Yang 1
Jianxun Liu 1
Wei Lei 1
Meikang Qiu 1
Alfio Ferrara 1
Dahming Chiu 1
Philipp Schaber 1
Christoph Wesch 1
Dorothy Rachovides 1
John Rae 1
Renan Cattelan 1
Noel Massey 1
Girija Chetty 1
Hayley Hung 1
Tao Mei 1
Daviddagan Feng 1
Ramakrishnan Kalpathi 1
Xiaolan Fu 1
Giorgos Karafotias 1
Akiko Teranishi 1
Georgios Korres 1
Olivier Meur 1
Peter Schmidt 1
Zeno Albisser 1
Xiao Ke 1
Yalin Lee 1
Mário Freire 1
Paulo Monteiro 1
Michelle Zhou 1
Michael Driscoll 1
Kurt Keutzer 1
Fei Li 1
Francis Lau 1
Zhenhua Li 1
Elaine Chew 1
Adrien Joly 1
Hanwang Zhang 1
Alvin Junus 1
Adam Wolisz 1
Xiongkuo Min 1
Tanima Dutta 1
Jingxi Xu 1
Herngyow Chen 1
Surong Wang 1
Jia Hu 1
Jiajia Liu 1
Hirotaka Ujikawa 1
Chunhua Hu 1
Mengbai Xiao 1
Xin Li 1
Chonggang Wang 1
Ruyan Wang 1
Fanyu Bu 1
Jun Liu 1
Yongdong Wu 1
Xiangbo Shu 1
Anne Tchounikine 1
Tyler Ballast 1
Shannon Chen 1
Nacim Ihadaddene 1
Paul Dickerson 1
Mika Tuomola 1
Terence Wright 1
Yong Rui 1
Mohan Kankanhalli 1
Yongjin Liu 1
Kazuya Sakai 1
Mikel Ariz 1
Tam Nguyen 1
John Gilmore 1
Sanjeev Koppal 1
Thomas De Lange 1
Julie Porteous 1
Luca Piras 1
Mohammad Motamedi 1
Andre Beck 1
Paichet Ng 1
Kangeun Jeon 1
Jiwu Huang 1
Loyao Yeh 1
Kevin Curran 1
Axel Carlier 1
Øystein Landsverk 1
Chongwah Ngo 1
Marco Botta 1
Davide Cavagnino 1
Victor Pomponiu 1
Hareesh Ravi 1
Arige Subramanyam 1
Xiaofei He 1
Xiangjun Li 1
Yong Su 1
Yongzhao Zhan 1
Rodrigoaugusto Igawa 1
Stan Li 1
Shuvendu Rana 1
Shenghua Zhong 1
Charith Perera 1
David Scruton 1
Alan Blackwell 1
Christian Weth 1
Chao Zhang 1
Petri Vuorimaa 1
Michał Muszyński 1
Thierry Pun 1
Zhou Yu 1
Dong Liu 1
Yiqun Li 1
Yijuan Lu 1
Yichuan Wang 1
Tingan Lin 1
Pablo Nunnez 1
Shahin Shayandeh 1
Andrzej Chydziñski 1
Marcus Nyström 1
Haiqiang Zuo 1
Philipp Sandhaus 1
Joan Biel 1
Jiebo Luo 1
Xiaotong Yuan 1
Giancarlo Calvagno 1
Dan Gelb 1
Radu Mariescu-Istodor 1
João Cardoso 1
Olga Goussevskaia 1
Adlen Ksentini 1
Soheil Ghiasi 1
Edmond Ho 1
Håkon Stensland 1
Magnus Stenhaug 1
Raoul Rivas 1
Abdelwahab Hamam 1
Mika Aalto 1
Weiming Zhang 1
Nenghai Yu 1
Jingjing Fu 1
Chen Zhao 1
Maria Merani 1
Kang Li 1
Di Huang 1
Lahoucine Ballihi 1
Carl Hogsden 1
Joachim Bruneau-Queyreix 1
Alessandro Floris 1
Arslan Ahmad 1
Christoph Meinel 1
Qi Liu 1
John Oommen 1
Juha Vierinen 1
Philippe Mulhem 1
Thomas Wiegand 1
Theodoros Kostoulas 1
Weiying Ma 1
Anqi Wang 1
Jurica Derek 1
Joeri Van Der Velden 1
Jongseung Park 1
Miguel Nussbaum 1
Parisa Pouladzadeh 1
Kaoru Ota 1
Tiberio Uricchio 1
Andrea Ferracani 1
Marco Bertini 1
Cong Zhang 1
Yuri Ivanov 1
Gian Foresti 1
Dong Xu 1
Yuching Lin 1
Ou Wu 1
Hueifang Yang 1
Boyao Lin 1
Silvestro Poccia 1
Chaoyang Zhao 1
Guang Yang 1
Mario Gerla 1
Jonathan Foote 1
Jian Li 1
Xifeng Gao 1
Zhigang Deng 1
Zhenhua Qu 1
Tim Bauman 1
Remco Veltkamp 1
Shuang Wang 1
Wei Wu 1
Kalpathi Ramakrishnan 1
Xiangwen Chen 1
Minghua Chen 1
Steven Seitz 1
Elisabeth André 1
Brian Lee 1
Haodong Li 1
Qi Yan 1
Erik Reinhard 1
Kashif Ahmad 1
Emil Petriu 1
Nizar Sakr 1
Cha Zhang 1
Hiranmay Ghosh 1
Wuchang Feng 1
Q Wu 1
Wen Gao 1
João Cangussu 1
Hao Hu 1
Shuai Wang 1
Huijie Fan 1
Huaici Zhao 1
Zhuo Su 1
Xuwen Yu 1
Yisheng Xu 1
Jinhui Tang 1
Jidi Zhao 1
Peter Fröhlich 1
Edel Jennings 1
Shivakant Mishra 1
Emily Provost 1
Fangxiang Feng 1
Ibrar Ahmad 1
Hui Tang 1
Huaxin Xu 1
Dan Olsen 1
Maxim Claeys 1
Steven Latré 1
Samia Bouyakoub 1
Yanjiang Yang 1
Keith Ross 1
Dirk Staehle 1
Sukkyu Lee 1
Jiali Li 1
Xiangnan Kong 1
Lynda Hardman 1
Jihoon Ryoo 1
Dinh Phung 1
Zhiyu Wang 1
Yunli Lee 1
Chusong Chen 1
Kai Li 1
Xiaopeng Li 1
Zhedong Zheng 1
Yohan Jin 1
Pavel Korshunov 1
Andrew Sung 1
Mengyu Qiao 1
Danny Kilis 1
Shuqiang Jiang 1
Ping An 1
Panpan Niu 1
David Geerts 1
Srisakul Thakolsri 1
Subhabrata Bhattacharya 1
Irwin Sobel 1
Beitao Li 1
Daqing Zhang 1
Markus Schedl 1
Yonghong Tian 1
Menglin Jiang 1
Yinpeng Chen 1
Yunsheng Yang 1
Jean Grégoire 1
Subhasis Chaudhuri 1
Fairouz Hussein 1
Chihwei Lin 1
Shenchi Chen 1
Niccolò Pretto 1
Elizabeth Papadopoulou 1
M Williams 1
Junho Ahn 1
Wei Guan 1
Tongtao Zhang 1
Fadi Dornaika 1
Robert Walz 1
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Dawoon Jung 1
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Shojiro Nishio 1
Shingchern You 1
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Xuanhui Wang 1
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Francesca Vatta 1
Liwei He 1
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Gylfi Gudmundsson 1
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Jin Yuan 1
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Eric Battenberg 1
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Rich Edgecomb 1
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Anlei Dong 1
Amorntip Prayoonwong 1
Konstantin Miller 1
Cláudiorosito Jung 1
David Ott 1
Wang Miao 1
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Haozhe Wang 1
Taotao Wu 1
Chenhan Xu 1
Liangping Ma 1
Chienchung Shen 1
Lei Guo 1
Yue Zhang 1
Zhuo Wei 1
Conghuan Ye 1
Kui Ren 1
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Sheng Wang 1
Maryvonne Miquel 1
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Martina Sasse 1
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Chaoyi Pang 1
Quan Sheng 1
Lorenzo Baraldi 1
Songzhi Su 1
Mohamed Mekhalfi 1
Ebroul Izquierdo 1
John Lui 1
Yintzu Lin 1
I Liu 1
Pochiang Lin 1
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Rainer Groh 1
Oleg Komogortsev 1
Ivan Slivar 1
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Wentong Cai 1
Lei Zhao 1
Joe Osgood 1
Ahmed Zahran 1
Ming Ma 1
Aining Wang 1
Yuedong Xu 1
Zengfu Wang 1
Alexander Loui 1
Nuria Oliver 1
Yunhua Deng 1
Tieying Zhang 1
Phoebe Chen 1
Sushil Jajodia 1
Rui Li 1
Xindi Shang 1
Abdel Al Tamimi 1
Yong Wang 1
Aditya Kanetkar 1
Stephen TURNER 1
Maryam Amiri 1
Hussein Al Osman 1
Fan Wu 1
Kun Wang 1
Cuixia Ma 1
Yi Wang 1
Shuicheng Yan 1
Genliang Guan 1
Minte Sun 1
Jian Dong 1
Jun Tan 1
Priyanka Singh 1
Ishwarya Thirunarayanan 1
Michael Riegler 1
Bruno Guilherme 1
Duansheng Chen 1
Yousef Sharrab 1
Pasi Fränti 1
Yijie Lu 1
Jonathan Doherty 1
Jacky Chan 1
Shanghong Zhao 1
Jihad Alja'Am 1
Jukka Nurminen 1
Huajie Cui 1
Honggang Hu 1
Dan Miao 1
Yan Lu 1
Xuelong Li 1
Sunil Prabhakar 1
Rodrigo Guido 1
Shuai Zhou 1
Liming Chen 1
Shivendra Shivani 1
Shanyu Tang 1
Tommy Nilsson 1
Tim Wauters 1
Valentin Burger 1
Florian Wamser 1
Mathias Lacaud 1
Luigi Atzori 1
Hui Li 1
Yoav Etsion 1
Tzicker Chiueh 1
Chitra Madhwacharyula 1
Fei Gao 1
Lingchao Kong 1
Rui Dai 1
Marjan Sikora 1
Xinxi Wang 1
Xiangdong Zhou 1
Xin Liu 1
Austin Abrams 1
Dapeng Wu 1
Qingquan Zhu 1
Chihfan Hsu 1
Shenglong Zou 1
Cong Liu 1
Jingdong Wang 1
Augusto Celentano 1
Laura Toni 1
Mohsen Langroodi 1
Zhenhuan Gao 1
Jun Wang 1
Dimitris Agrafiotis 1
Anthony Steed 1
David Roberts 1
Maria Pimentel 1
Nina Hall 1
Joe Tullio 1
Frank Bentley 1
Abu Rahman 1
Ye Wang 1
Zhiyong Wang 1
Shaohui Mei 1
Mingyi He 1
Xiangyu Chen 1
Kazi Alam 1
Jun Zhang 1
Meng Wang 1
Khimya Khetarpal 1
Qing Lei 1
Euiseok Kim 1
Marius Tennøe 1
Ying Yang 1
Zhipeng Chen 1
Rossano Gaeta 1
Ralf Steinmetz 1
Tore Endestad 1
Paul Vigmostad 1
Xinglei Zhu 1
Xiaoyuan Guo 1
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Bruno Silva 1
Guangjie Han 1
Yan Liu 1
Yijing Jiang 1
Yaujim Yip 1
Jeroen Van Der Hooft 1
Jiwen Lu 1
Johannes Kiess 1
Sergio Mena 1
Simone Santini 1
Weihua Zhuang 1
Florian Vandecasteele 1
Mankwan Shan 1
Michael Mandel 1
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Harlyn Baker 1
Yoonjoon Lee 1
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Hairong Liu 1
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Ram Dantu 1
Yang Cong 1
Abdulsalam Yassine 1
Massimo Piccardi 1
Eckehard Steinbach 1
Zhijie Shen 1
Guangda Li 1
Yogesh Rawat 1
Renfei Wang 1
Xitong Li 1
James Williamson 1
Xiaolin Li 1
Biao Zhu 1
Feng Xia 1
Hoda Roodaki 1
Suya You 1
Ahmed Hamza 1
Amiel Heyde 1
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Steve Uhlig 1
Yihan Pu 1
Bo Fu 1
Dick Epema 1
Sina Jafarpour 1
Roelof Van Zwol 1
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Yanqiang Lei 1
Liminn Ang 1
Bo Cheng 1
Xiaolan Wang 1
Zhiwei Fang 1
Wanjoo Park 1
Weiqiang Wang 1
Shengfeng He 1
Fulee Wang 1
Christian Poellabauer 1
Susmit Bagchi 1
Renato Verdugo 1
Kuiyuan Yang 1
Wengang Zhou 1
Ramesh Jain 1
Shahram Ghandeharizadeh 1
Sailesh Bharati 1
Saverio Mascolo 1
Shihchuan Chiu 1
Ingrid Visentini 1
Homer Chen 1
Razvan Pascanu 1
Yoshua Bengio 1
Rossano Schifanella 1
Filippo Menczer 1
Chun Chen 1
Bin Xu 1
Donald Tanguay 1
Michael Goss 1
Sanguok Kum 1
Edward Chang 1
Chika Oshima 1
Qiang Chen 1
Luntian Mou 1
Xiangyu Chen 1
Anupama Mallik 1
Santanu Chaudhury 1
Giuseppe Lisanti 1
Svebor Karaman 1
Iacopo Masi 1
Christoph Rensing 1
Dongni Ren 1
Ork Rooij 1
Yuru Lin 1
Heng Qi 1
Wenyu Qu 1
Johnny Shen 1
Diana Bental 1
Ioannis Mimtsoudis 1
Mike Gartrell 1
Wei Chen 1
Chunghua Chu 1
Yelin Kim 1
Yun Ye 1
Jinxia Liu 1
Mahmoud Hashemi 1
Grenville Armitage 1
Vasileios Papapanagiotou 1
Abdelkader Belkhir 1
Hui Feng 1
Amit Sachan 1
Jonathan Weir 1
Hongmei Liu 1
Lewis Li 1
Frederick Li 1
Ke Chen 1
Zhengchuan Chen 1
Hongying Yang 1
Garimella Sivaram 1
Xiaotao Liu 1
Suchendra Bhandarkar 1
Malcolm Slaney 1
Philip Chou 1
Eleni Kroupi 1
Yang Yang 1
Haibo Li 1
Benjamin Rainer 1
Quan Fang 1
Xue Li 1
Guorong Cai 1
Shaozi Li 1
Honggang Qi 1
Petri Myllys 1
Sameer Samarth 1
Yang Yang 1
Jim Crawford 1
Phani Kotharu 1
Helmut Hlavacs 1
Marco D'Orlando 1
Dimitrios Rafailidis 1
Weiqing Min 1
Eilwoo Baik 1
Amit Pande 1
Charles Krasic 1
Xiaoguang Liu 1
Xueshi Hou 1
Weitsang Ooi 1
Mahadev Satyanarayanan 1
Laurent Amsaleg 1
Lei Huang 1
Xuening Liu 1
Bo Li 1
Bashar Qudah 1
Susanne Boll 1
Wenhsiang Tsai 1
Zhijie Shen 1
Xiaosong Lou 1
Xuanjia Qiu 1
Tiago Rodrigues 1
Wengang Zhou 1
Haiwei Dong 1
Yeehong Yang 1
Maike Erdmann 1
Takahiro Hara 1
Seungho Yoo 1
Jyh Jang 1
Laura Teodosio 1
Hwangnam Kim 1
Frank Shipman 1
Wenbo He 1
Guoping Qiu 1
Chehua Yeh 1
Brian Barsky 1
Ming Wang 1
Junliang Chen 1
K Candan 1
Shao Huang 1
Jianjun Lei 1
Liang Zheng 1
Weiwei Sun 1
Shuyuan Zhu 1
Ole Granmo 1
Jørgen Michaelsen 1
Frank Eliassen 1
Mohammad Alsmirat 1
Musab Al-Hadrusi 1
Yan Huang 1
Qingzhong Liu 1
Jungsan Lee 1
Reinier Van Leuken 1
Ailong Wang 1
Kang Li 1
Ioannis Kompatsiaris 1
Jiangchuan Liu 1
Rodrigo Laiola Guimarães 1
Francisco Luque 1
Iris Galloso 1
Luoqi Liu 1
Shengyang Chen 1
Min Huang 1
Hongbo Zhang 1
Siwei Lyu 1
Juan Silva 1
Chidansh Bhatt 1
Qianni Zhang 1
Jim Kurose 1
Moses Pawar 1
Sunand Tullimas 1
Huiping Guo 1
Guangtao Zhai 1
Rodrigo Schramm 1
Helena Nunes 1
Chihhao Chiu 1
Shengwei Li 1
Chuanjun Li 1
Siqing Zheng 1
Yulei Wu 1
Seungmin Rho 1
Nei Kato 1
Tsunghan Tsai 1
Richardtianbai Ma 1
Denny Stohr 1
Zhan Ma 1
Wuchi Feng 1
Rong Cao 1
Junlin Ouyang 1
Hua Zhong 1
Zheng Yan 1
Zhiwen Yu 1
Yibin Li 1
Gang Chen 1
Silvana Castano 1
Luca Ludovico 1
Anne Arigon 1
Alberto Blanc 1
Stanislas Lew 1
Thierry Urruty 1
Dan Simovici 1
Lester Loschky 1
James Walkerdine 1
Paul Sharkey 1
César Teixeira 1
Rudinei Goularte 1
Ian Kegel 1
Andra Leurdijk 1
Guy Romano 1
Maximilian Ott 1
Harish Katti 1
Arantxa Villanueva 1
Victoria Ponz 1
Friederike Eyssel 1
Jun Gao 1
Xiguo Ma 1
Eakta Jain 1
Chiapin Wang 1
Fawaz Alsulaiman 1
Jianping Fan 1
Ragnhild Eg 1
Seungho Lim 1
Kyuho Park 1
Yunhua Deng 1
Padmanabhan Pillai 1
Ryan McMahan 1
Kaiyan Chu 1
Rodrigo De Oliveira 1
Tongyu Zhan 1
Khechai Sim 1
João Gomes 1
Ramesh Jain 1
Flora Li 1
Ekaterina Gonina 1
Penporn Koanantakool 1
John Boreczky 1
Thinh Nguyen 1
Dian Tjondronegoro 1
Bir Bhanu 1
Yucyuan Liou 1
Manoranjan Dash 1
Ziad Sakr 1
Liwei Kuang 1
Kai Qiu 1
Shaojie Tang 1
Saleh Almowuena 1
Ming Zhang 1
Mian Dong 1
Hui Zhao 1
Tien Dinh 1
Bengchin Ooi 1
Stefano Montanelli 1
Goffredo Haus 1
Laura Bratton 1
Sina Wetzel 1
Jason Moore 1
Andrew Duchowski 1
Arzu Çöltekin 1
Carlo Colombo 1
Marian Ursu 1
Doug Williams 1
Inger Lindstedt 1
Vilmos Zsombori 1
Bin Cheng 1
Damien Marshall 1
Bo Li 1
Fabrizio Guerrini 1
Shahid Akhtar 1
Yongfei Zhang 1
Farouk Messaoudi 1
Lahari Sengupta 1
Espen Helgedagsrud 1
Henrik Alstad 1
Asgeir Mortensen 1
Deyu Chen 1
Luiz Soares 1
Mohammad Hoque 1
Yan Yan 1
Xianjun Hu 1
Ke Li 1
Tarek Elgamal 1
Krzysztof Templin 1
Qiong Wu 1
Pierre Boulanger 1
Yao Hu 1
Pablo Serrano 1
Gabriel Campos 1
Mario Jr 1
Jun Wan 1
Sheng Li 1
Michal Balazia 1
Safaa Azzakhnini 1
Hassan Afzal 1
Mario Proença 1
Saeed Aghaee 1
Teemu Kämäräinen 1
Martín Varela 1
Tobias Hoßfeld 1
Lam Dinh-Xuan 1
Sharath Guntuku 1
Cheng Wang 1
Anran Wang 1
Yingjie Xia 1
Robert Malkin 1
Datong Chen 1
Heiko Schwarz 1
Patrizia Lombardo 1
Guillaume Chanel 1
Tao Mei 1
Tiejun Zhao 1
Min Tan 1
Jun Yu 1
Lexing Xie 1
Richard Pazzi 1
David Hsu 1
Shengfeng Qin 1
Laura Sesma-Sanchez 1
Sonia Porta 1
Bingbing Ni 1
Scandar Copti 1
Nishant Agarwal 1
Sigrun Eskeland 1
Alberto Piacenza 1
Marc Cavazza 1
Duc Dang-Nguyen 1
Giulia Boato 1
Luciana Pontello 1
Abukari Yakubu 1
Hongbo Zhang 1
Ivica Rimac 1
Mingliang Zhou 1
Klamer Schutte 1
Wessel Kraaij 1
Rajat Chakraborty 1
Paul McKevitt 1
Taku Komura 1
Sigurd Ljodal 1
Hwaijung Hsu 1
Bernard Mérialdo 1
Da Luo 1
Khaled Diab 1
Wojciech Matusik 1
Laura Natali 1
Víctor Valdés 1
Jianzhong Sun 1
Weilong Peng 1
Xiangjun Shen 1
Gabriel Tavares 1
Xudong Yang 1
Dick Epema 1
Liping Zhang 1
Andreas Lund 1
Enrico Masala 1
Kuanta Chen 1
Weisi Lin 1
Daniel Négru 1
Jianfei Cai 1
Batu Truong 1
Rachel Heck 1
Paula Navarrete 1
Haifeng Hu 1
Liang Yang 1
Xiansheng Hua 1
Xingang Liu 1
Piotr Wiśniewski 1
Jan Kleinrouweler 1
Sergio Cabrero 1
Kenneth Holmqvist 1
Kianoosh Mokhtarian 1
Niklas Carlsson 1
Lauro Snidaro 1
David Suter 1
Luca Aiello 1
K Candan 1
Yue Gao 1
Hongxun Yao 1
Shulong Tan 1
Jiajun Bu 1
Kingshy Goh 1
Henning Schulzrinne 1
Weiying Ma 1
Liqi Shi 1
Jinsoo Kim 1
Wen Gao 1
Mark Coates 1
Ashkan Sobhani 1
Jason Grant 1
Xiao Xu 1
Christoph Bachhuber 1
Xiaonan Luo 1
Wenping Wang 1
Zhengyu Deng 1
Chengwu Chen 1
Tianzhu Zhang 1
Hai Jin 1
Ryan Spicer 1
Yanming Shen 1
Fei Hao 1
Geyong Min 1
Victor Leung 1
Edith Ngai 1
Idris Ibrahim 1
Hongxin Zhang 1
Yanwei Liu 1
Michael Lew 1
James Elder 1
Yi Chen 1
Abhidnya Deshpande 1
Benjamin Guthier 1
Marc Davis 1
Heiner Kirchhoffer 1
Detlev Marpe 1
Yalong Bai 1
Mladen Russo 1
Sebastiaan Meijer 1
Hungkhoon Tan 1
Pablo Corro 1
Laurencetianruo Yang 1
Minhson Dao 1
Vasileios Mezaris 1
Cong Wang 1
Lusong Li 1
Yihsuan Yang 1
Douglas Eck 1
Lexing Xie 1
Rahul Sukthankar 1
Can Wang 1
Nina Bhatti 1
Mikael Baillif 1
Ed Kaiser 1
Kazushi Nishimoto 1
Norihiro Hagita 1
Tiejun Huang 1
Gaurav Harit 1
Guojun Qi 1
Anirban Mahanti 1
Brian Bailey 1
Jayakrishnan Nair 1
Burak Çizmeci 1
Kun Zeng 1
Michael Lyu 1
Yongtao Hu 1
Jan Kautz 1
Kuanwen Chen 1
Mohammad Pakravan 1
Ying Zhang 1
Zheng Lu 1
Xiping Hu 1
Junqi Deng 1
Florence Adegeye 1
Stefan Suette 1
Nick Taylor 1
Sixuan Ma 1
Xiaojie Wang 1
Song Ci 1
Shu Shi 1
Wanmin Wu 1

Affiliation Paper Counts
Muroran Institute of Technology 1
Center For Research And Technology - Hellas 1
Beijing University of Technology 1
Singapore University of Technology and Design 1
Royal Institute of Technology 1
Sam Houston State University 1
National Taiwan Ocean University 1
Harvard University 1
MIT Media Laboratory 1
University of Kent 1
Fuzhou University 1
Carleton University 1
Hong Kong Polytechnic University 1
Hohai University 1
Hongik University 1
University of Kuwait 1
GE Global Research 1
China Telecommunications 1
Macau University of Science and Technology 1
National Taiwan Normal University 1
Kent State University 1
Southeast University China, Nanjing 1
Henan University 1
General Hospital of People's Liberation Army 1
National University of Defense Technology China 1
Zhejiang Wanli University 1
Institut National des Telecommunications 1
Bowie State University 1
Johns Hopkins University 1
National Chengchi University 1
Clemson University 1
Pontifical Catholic University of Rio de Janeiro 1
Indian Institute of Technology Roorkee 1
University of California, Merced 1
University of Minnesota Duluth 1
Austrian Institute of Technology 1
Samsung Electronics, India Software Operations Ltd. 1
Nanjing University of Information Science and Technology 1
National Changhua University of Education 1
Eastman Kodak Company 1
National Central University Taiwan 1
Eindhoven University of Technology 1
University of Teesside 1
University of Rochester 1
Air Force Research Laboratory Information Directorate 1
University of Zurich 1
University of Surrey 1
Agder University College 1
The University of North Carolina Wilmington 1
University of the Basque Country 1
York University Canada 1
Huawei Technologies Co., Ltd. 1
Reykjavik University 1
Japan National Institute of Information and Communications Technology 1
California State University Los Angeles 1
Ecole Centrale de Lyon 1
Cairo University 1
Uppsala University 1
Waterford Institute of Technology 1
National Taichung University of Science and Technology 1
Tohoku University 1
Guangdong University of Petrochemical Technology 1
University of Nebraska - Lincoln 1
Dalian Maritime University 1
University of Pennsylvania 1
University of Missouri System 1
Dresden University of Applied Sciences 1
Indiana University 1
University of Tokyo 1
Federal University of Sao Carlos 1
National Institute of Technology Kurukshetra 1
Baerum Hospital 1
Cancer Registry of Norway Institute of Population-Based Cancer Research 1
Open University 1
University of Canberra 1
National Kaohsiung Marine University Taiwan 1
Sybase Inc. 1
IMT Lille Douai 1
Silesian Polytechnic University, Gliwice 1
University of Delaware 1
Hebei Academy of Sciences 1
CSIRO Data61 1
Ca' Foscari University of Venice 1
Guangzhou University 1
Adobe Systems Incorporated 1
University of Windsor 1
Florida Institute of Technology 1
Google Inc. 1
Incheon National University 1
Saarland University 1
IMT Atlantique 1
University of Chicago 1
Deakin University 1
University of Pittsburgh 1
UNESP-Universidade Estadual Paulista 1
University of Edinburgh 1
Yarmouk University 1
Intel Corporation 1
University of South Carolina 1
Advanced Telecommunications Research Institute International (ATR) 1
INRIA Institut National de Rechereche en Informatique et en Automatique 1
Cisco Systems 1
HEC School of Management 1
Sungkyul Christian University 1
University of Coimbra 1
South Dakota School of Mines & Technology 1
University of Ontario Institute of Technology 1
Institute of High Performance Computing, Singapore 1
University of Northumbria 1
FHS St. Gallen University of Applied Sciences 1
Orange Labs 1
TELECOM ParisTech 1
University of Massachusetts Boston 1
University of Bielefeld 1
Saint Petersburg National Research University of Information Technologies, Mechanics and Optics University ITMO 1
Thapar University 1
China Agricultural University 1
Microsoft Technology Centers 1
Jimei University 1
IT University of Copenhagen 1
University of Kentucky 1
Yale University 1
EURECOM Ecole d'Ingenieurs & Centre de Recherche en Systemes de Communication 1
IBM China Company Limited 1
University of Peshawar 1
Hebei University of Technology 1
University of Massachusetts Dartmouth 1
New Mexico Institute of Mining and Technology 1
Institute of Information Science Academia Sinica Taiwan 1
Cornell University 1
University of Washington, Seattle 1
Tata Consultancy Services India 1
Ericsson Nikola Tesla d d 1
King's College London 1
NYU Tandon School of Engineering 1
British Broadcasting Corporation 1
Karolinska University Hospital 1
Institut Dalle Molle D'intelligence Artificielle Perceptive 1
University of Qatar 1
Guangdong Polytechnic Normal University 1
Nanchang Hangkong University 1
Macquarie University 1
IBM Canada Ltd. 1
Vienna University of Technology 1
Universidad de Granada 1
Chung Hua University 1
Hunan University of Commerce 1
Auburn University 1
Laboratoire de Biometrie et Biologie Evolutive, Villeurbanne 1
University of Duisburg-Essen 1
National Research Council Canada 1
North Georgia College & State University 1
Indian Institute of Technology Rajasthan 1
Kansas State University 1
Malmo University 1
National University of Tainan Taiwan 1
University of Wales Trinity Saint David 1
Laboratoire d'Automatique, Genie Informatique et Signal 1
Federal University of Bahia 1
University of Durham 2
Florida International University 2
INSA Lyon 2
Hong Kong Baptist University 2
University College Dublin 2
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture 2
Federal University of Rio Grande do Sul 2
Indraprastha Institute of Information Technology Delhi 2
IBM Almaden Research Center 2
Yuan Ze University 2
Jaypee Institute of Information Technology University 2
Tongji University 2
DoCoMo Communications Laboratories Europe GmbH 2
RMIT University 2
National Institute of Telecommunications, Poland 2
University Michigan Ann Arbor 2
Charles Sturt University, Wagga Wagga 2
Oldenburger Forschungs- Und Entwicklungsinstitut fur Informatik-Werkzeuge Und -Systeme 2
Japan Advanced Institute of Science and Technology 2
VMware, Inc 2
Nippon Telegraph and Telephone Corporation 2
University of Tehran 2
Polytechnic Institute of Turin 2
Australian National University 2
University of Reading 2
Sharif University of Technology 2
Massachusetts Institute of Technology 2
Masaryk University 2
Indian Institute of Technology, Kharagpur 2
National Chi Nan University 2
Institut National de la Recherche Scientifique 2
Instituto de Telecomunicacoes 2
International Computer Science Institute 2
University of Cincinnati 2
Kodak Research Laboratories 2
Goldsmiths, University of London 2
National Chung Cheng University 2
Feng Chia University 2
Utrecht University 2
Tokyo Institute of Technology 2
University of Stellenbosch 2
Institute for Research in IT and Random Systems 2
Texas State University-San Marcos 2
Washington University in St. Louis 2
University of Waterloo 2
Telecom Research Center Vienna 2
Pace University 2
Ohio State University 2
Netherlands Organisation for Applied Scientific Research - TNO 2
Lund University 2
Johannes Kepler University Linz 2
Xi'an Jiaotong University 2
University of Houston 2
Communication University of China 2
Swinburne University of Technology 2
Indian Institute of Technology (Banaras Hindu University) 2
Queensland University of Technology 2
National Cheng Kung University 2
University of Sciences and Technology Houari Boumediene 2
Alpen-Adria-Universität Klagenfurt 2
The University of Georgia 2
University of Nottingham 2
University of Antwerp 2
Roehampton University 2
The University of North Carolina at Charlotte 2
Leiden University 2
Universite de Bordeaux 2
University of Regina 2
Stevens Institute of Technology 2
University of Milan - Bicocca 2
University of Adelaide 2
University of Oldenburg 2
Universite Paris Sorbonne - Paris IV 2
University College Cork 3
Umea University 3
Hebrew University of Jerusalem 3
University of Vienna 3
Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut, HHI 3
University of Macau 3
University of Trieste 3
University of Salford 3
Indian Institute of Technology, Bombay 3
Hasso-Plattner-Institut fur Softwaresystemtechnik GmbH 3
Universidad Autonoma de Madrid 3
Stony Brook University 3
Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences 3
Qatar Computing Research institute 3
Georgia Institute of Technology 3
Hunan University of Science and Technology 3
Warsaw University of Technology 3
Mohammed V University in Rabat 3
Queen's University Belfast 3
Institute of Acoustics Chinese Academy of Sciences 3
Research Organization of Information and Systems National Institute of Informatics 3
University of Sao Paulo 3
University of Alabama in Huntsville 3
Saint Francis Xavier University 3
Polytechnic Institute of Bari 3
Chongqing University of Posts and Telecommunications 3
Lancaster University 3
IBM Thomas J. Watson Research Center 3
University of North Texas 3
Universidad Carlos III de Madrid 3
University of Notre Dame 3
Shandong University 3
University of Eastern Finland 3
University of Saskatchewan 3
Indian Institute of Technology, Delhi 3
Singapore Management University 3
Technical University of Berlin 3
Osaka University 3
East China Normal University 3
Oregon State University 3
Nanjing University 4
University of California, Los Angeles 4
Simula Research Laboratory 4
University of Bristol 4
University of Newcastle, Australia 4
National Chiayi University 4
University of California, Riverside 4
University of Electronic Science and Technology of China 4
Telefonica 4
Indian Institute of Science, Bangalore 4
The University of British Columbia 4
Queen Mary, University of London 4
University of Udine 4
The University of Sydney 4
University of Montreal 4
Communaute d'Universites et d'Etablissements Lille Nord de France 4
University of Illinois 4
Liaoning Normal University 4
University of Connecticut 4
South China University of Technology 4
National Taipei University of Technology 4
University of Ulster 4
University of Zagreb 4
China University of Geosciences, Wuhan 4
Jiangsu University 4
Korea University 4
Hangzhou Dianzi University 4
University of Texas at San Antonio 4
Sunway University 4
University of Helsinki 4
Nankai University 4
University of Beira Interior 4
University of California, Santa Barbara 4
King Saud University 4
Shanghai University 4
Xiamen University 5
University of Exeter 5
University of Milan 5
University of Cagliari 5
University of Queensland 5
Technical University of Madrid 5
Shanghai Jiaotong University 5
Telecom Bretagne 5
University of Brescia 5
University of Padua 5
University of Modena and Reggio Emilia 5
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) - Special Section on Delay-Sensitive Video Computing in the Cloud and Special Section on Extended MMSys-NOSSDAV Best Papers

Volume 14 Issue 3s, August 2018 Special Section on Delay-Sensitive Video Computing in the Cloud and Special Section on Extended MMSys-NOSSDAV Best Papers
Volume 14 Issue 3, August 2018  Issue-in-Progress
Volume 14 Issue 2s, May 2018
Volume 14 Issue 2, May 2018
Volume 14 Issue 1s, April 2018 Special Section on Representation, Analysis and Recognition of 3D Humans and Special Section on Multimedia Computing and Applications of Socio-Affective Behaviors in the Wild
Volume 14 Issue 1, January 2018

Volume 13 Issue 4, October 2017
Volume 13 Issue 3s, August 2017 Special Section on Deep Learning for Mobile Multimedia and Special Section on Best Papers from ACM MMSys/NOSSDAV 2016
Volume 13 Issue 3, August 2017
Volume 13 Issue 2, May 2017
Volume 13 Issue 1, January 2017

Volume 12 Issue 5s, December 2016 Special Section on Multimedia Big Data: Networking and Special Section on Best Papers From ACM MMSYS/NOSSDAV 2015
Volume 12 Issue 4s, November 2016 Special Section on Trust Management for Multimedia Big Data and Special Section on Best Papers of ACM Multimedia 2015
Volume 12 Issue 4, August 2016
Volume 12 Issue 3, June 2016
Volume 12 Issue 2, March 2016

Volume 12 Issue 1s, October 2015 Special Issue on Smartphone-Based Interactive Technologies, Systems, and Applications and Special Issue on Extended Best Papers from ACM Multimedia 2014
Volume 12 Issue 1, August 2015
Volume 11 Issue 4, April 2015
Volume 11 Issue 2s, February 2015 Special Issue on MMSYS 2014
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