TOPICS

AVS Meeting Proposal

Abandoned Object Detection	Deep Learning	​ Image Classification​	Text Analytics
​Action Recognition	Denoising	Image Quality Assessment	Transfer Learning
Biometrics	Face Recognition	Multimedia	Video Pornography Classification
Coding & Compression	Face Spoofing Detection​	Others​	Visual Anomaly Detection​​
Compact Descriptors for Visual Search​	Fashion Analytics	Reflection Removal​	Visual Object Search​
Computational Photography	Food Recognition​	Segmentation & Saliency Detection	Visual Recognition
Crowd Counting	Forensics	Sentiment Analysis	Visual Scene Understanding and Captioning
Data Mining	Generative Models	Super Resolution
Database System	Person Re-Identification & Motion Analysis

Patent

• Lossy Compression Framework For Intermediate Deep Feature Compression
  ​Z. Chen, K. Fan, W. Lin, L. Duan, A. C. Kot
  Singapore Provisional Patent 10201908371Q, 2019

White Paper

• Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey
  ​Li Wang, Gang Wang
  
  Abstract: Deep learning has recently achieved very promising results in a wide range of areas such as computer vision, speech recognition and natural language processing. It aims to learn hierarchical representations of data by using deep architecture models. In a smart city, a lot of data (e.g. videos captured from many distributed sensors) need to be automatically processed and analyzed. In this paper, we review the deep learning algorithms applied to video analytics of smart city in terms of different research topics: object detection, object tracking, face recognition and image classification.

Conference Journal Publications

Visual Object Search

• Cross-Modal Discrete Hashing
  Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, 2018 Pattern Recognition (PR)

• Unsupervised Multiple-Instance Learning for Instance Search
  Zhenzhen Wang, Junsong Yuan, 2018 IEEE International Conference on Multimedia and Expo (ICME)

• Brand-Aware Fashion Clothing Search using CNN Feature Encoding and Re-ranking
  Dipu Manandhar, Kim Hui Yap, Muhammet Bastan, Zhao Heng, 2018 IEEE International Symposium on Circuits & Systems (ISCAS)

• Common Visual Pattern Discovery and Search
  Zhenzhen Wang, Jingjing Meng, Tan Yu and Junsong Yuan, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

• Cross-Modal Deep Variational Hashing
  Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou, 2017 Internaltional Conference on Computer Vision (ICCV)

• Compressive Quantization for Fast Object Instance Search in Videos
  Tan Yu, Zhenzhen Wang, Junsong Yuan, 2017 Internaltional Conference on Computer Vision (ICCV)

• Cross-Modal Hashing Network for Multimedia Search
  Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, 2017 IEEE International Conference on Image Processing (ICIP)

• Is My Object in this Video? Reconstruction-based Object Search in Videos
  Tan Yu, Jingjing Meng, Junsong Yuan, 2017 International Joint Conference on Artificial Intelligence (IJCAI)

• Deep Level Sets for Salient Object Detection
  Ping Hu, Bing Shuai, Jun Liu, Gang Wang, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos
  Tan Yu, Yuwei Wu, Junsong Yuan, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Lattice-Support repetitive local feature detection for visual search
  Dipu Manandhar, Kim-Hui Yap, Zhenwei Miao, Lap-Pui Chau, Pattern Recognition Letters (PRL) 2017

• Cross-Domain Shoe Retrieval Semantic Hierarchy.pdf
  Huijing Zhan, Boxin Shi, Alex C. Kot, IEEE Transactions on Image Processing (TIP) 2017

• Cross-domain Shoe Retrieval using a Three-Level Deep Feature Representation
  Huijing Zhan, Boxin Shi, Alex C. Kot, 2017 IEEE International Symposium on Circuits Systems (ISCAS)

• Street-to-Shop Shoe Retrieval​
  Huijing Zhan, Boxin Shi, Alex C. Kot, British Machine Vision Conference (BMVC)

• Street-to-Shop Shoe Retrieval with Multi-Scale Viewpoint Invariant Triplet Network
  H J Zhan, B X Shi and A C Kot, 2017 IEEE International Conference on Image Processing (ICIP)

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• Efficient Object Instance Search Using Fuzzy Objects Matching
  Tan Yu, Yuwei Wu, Sreyasee Das Bhattacharjee, Junsong Yuan, 2017 31st AAAI Conference on Artificial Intelligence (AAAI)

• Feature Repetitiveness Similarity Metrics in Visual Search
  Dipu Manandhar, Kim-Hui Yap, IEEE Signal Processing Letters (SPL) 2017

• Deep Hashing for Scalable Image Search
  Jiwen Lu, Venice Erin Liong, Jie Zhou, IEEE Transactions on Image Processing (TIP) 2017

• Object Instance Search in Videos via Spatio-Temporal Trajectory Discovery
  Jingjing Meng, Junsong Yuan, Jiong Yang, Gang Wang, Yap-Peng Tan, IEEE Transactions on Multimedia, 2016

• Query Adaptive Instance Search using Object Sketches
  Das Bhattacharjee Sreyasee, Junsong Yuan, Weixiang Hong, Xiang Ruan, ACM MULTIMEDIA 2016

• On Branded Handbag Recognition
  Yan Wang, Sheng Li, Alex C. Kot, IEEE Transactions on Multimedia (TMM) 2016

• Query-adaptive Small Object Search using Shape-aware Descriptors
  Sreyasee Das Bhattacharjee, Junsong Yuan, Yap-Peng Tan, Ling-Yu Duan, IEEE Transactions on Multimedia (TMM) 2016

• Query-Adaptive Small Object Search Using Object Proposals and Shape-Aware Descriptors
  Sreyasee Das Bhattacharjee, Junsong Yuan, Yap-Peng Tan, Ling-Yu Duan, IEEE Transactions on Multimedia (TMM) 2016

• Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior
  Gangqiang Zhao, Junsong Yuan, Gang Hua, Jiong Yang, IEEE Transactions on Image Processing (TIP) 2015

• DeepBag: Recognizing Handbag Models
  Yan Wang, Sheng Li , Kot, A.C., IEEE Transactions on Multimedia (TMM) 2015

• Part-based Deformable Object Detection with a Single Sketch
  Sreyasee Das Bhattacharjee & Anurag Mittal, Computer Vision and Image Understanding (CVIU) 2015

• Fast object instance search in videos from one example
  Jingjing Meng, Junsong Yuan, Yap-Peng Tan, Gang Wang, 2015 IEEE International Conference on Image Processing (ICIP)

• Query-Adaptive Logo Search using Shape-Aware Descriptors
  Sreyasee Das Bhattacharjee, Junsong Yuan, Yap-Peng Tan, Lingyu Duan, ACMMULTIMEDIA 2015

• Randomized Spatial Context for Object Search​
  Yuning Jiang, Jingjing Meng, Junsong Yuan, Jiebo Luo, IEEE Transactions on Image Processing (TIP) 2015

• Tagging the Shoe Images by Semantic Attributes
  Huijing ZHAN, Sheng LI and Alex KOT, 2015 IEEE International Conference on Digital Signal Processing (DSP)

• Visual Recognition by Learning from Web Data: A Weakly Supervised Domain Generalization Approach​
  Li Niu, Wen Li, Dong Xu, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)

• Deep Hashing for Compact Binary Codes Learning
  Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)

• Feature Weighting in Visual Product Recognition
  Wen Zhang, Kim-Hui Yap, Da-Jiang Zhang, Zhenwei Miao, 2015 IEEE International Symposium on Circuits and Systems (ISCAS)

• Hybrid Feature-Based Wallpaper Visual Search
  Kim-Hui Yap, Zhenwei Miao, 2015 IEEE International Symposium on Circuits and Systems (ISCAS)

• Randomized Spatial Context for Object Search
  Yuning Jiang, Jingjing Meng, Junsong Yuan, Jiebo Luo, IEEE Transactions on Image Processing (TIP) 2015

• Complementary Feature Extraction for Branded Handbag Recognition
  Yan Wang, Sheng Li, and Alex C. Kot, 2014 IEEE International Conference on Image Processing (ICIP)

• Mobile product recognition with efficient bag-of-phrase visual Search
  Dajiang Zhang, Kim-Hui Yap and Sinduja Subbhuraam, 2014 International Symposium on Communications, Control, and Signal Processing (ISCCSP) ​

• Context-Aware Discovery of Visual Co-occurre​nce Patterns
  Hongxing Wang, Junsong Yuan, Ying Wu, IEEE Transactions on Image Processing (TIP), Vol. 23(2014), Issue 4, pp.1805 - 1819, April 2014

• Category-Separating Strategy for Branded Handbag Recognition
  Yan Wang, Sheng Li, Alex C. Kot, 2014 International Symposium on Communications, Control, and Signal Processing (ISCCSP)

• Visual Pattern Discovery in Image andVideo Data: A Brief Survey
  Hongxing Wang, Gangqiang Zhao, Junsong Yuan, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (WIREs DMKD), Vol.4 (2014), Issue 1, pp.24 – 37, January/February 2014

• Object instance search in videos
  Jingjing Meng, Junsong Yuan, Gang Wang, Jianbo Xu, 2013 9th International Conference on Information, Communications and Signal Processing (ICICS)

• Randomized Visual Phrases for Object Search
  Yuning Jiang, Jingjing Meng & Junsong Yuan, 2012 IEEE Computer Vision and Pattern Recognition (CVPR)

• Rapid Object Search Engine for Contextual Advertisement​
  Yuning Jiang, Junsong Yuan & Jingjing Meng,2012 ACM Multimedia Conference (ACMMM),(demo paper)

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Compact Descriptors for Visual Search

• ​Dominant SIFT: A novel compact descriptor
  Anh T. Tra, Weisi Lin, Alex Kot, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• ​Mobile Media Communication, Processing, and Analysis: a review of recent advances​
  Wen Gao, Ling-Yu Duan, Jun Sun, Junsong Yuan, Yonggang Wen, Yap-Peng Tan, Jianfei Cai, Alex C. Kot, 2013 IEEE International Symposium on Circuits and Systems (ISCAS), pp.869~872

• Compact Descriptors for Mobile Visual Search and MPEG CDVS Standardization
  Ling-Yu Duan, Feng Gao, Jie Chen, Jie Lin, Tiejun Huang , 2013 IEEE International Symposium on Circuits and Systems (ISCAS), pp.885~888

• ​Robust Fisher Codes for Large Scale Image Retrieval
  Jie Lin, Ling-Yu Duan, Tiejun Huang, Wen Gao, 2013 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.1513~1517

• On the Interoperability of Local Descriptors Compression
  Jie Chen, Ling-Yu Duan, Jie Lin, Rongrong Ji, Tiejun Huang, Wen Gao, 2013 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.1518~1522

• Location Discriminative Vocabulary Coding for Mobile Landmark Search
  Rongrong Ji, Ling-Yu Duan, Jie Chen, Hongxun Yao, Junsong Yuan, Yong Rui, Wen Gao , International Journal of Computer Vision, Vol.96, Issue 3: 290~314, July 2011

• Learning Compact Visual Descriptor for Low Bit Rate Mobile Landmark Search
  Rongrong Ji, Ling-Yu Duan, Jie Chen, Hongxun Yao, Tiejun Huang, Wen Gao, Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI 2011), pp.2456~2463

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Visual Anomaly Detection

• Temporal Robust Features for Violence Detection
  Daniel Moreira, Sandra Avila, Mauricio Perez, Daniel Moraes, Vanessa Testoni, Eduardo Valle, Siome Goldenstein, Anderson Rocha, IEEE Winter Conference on Applications of Computer Vision (WACV) 2017

• Video Anomaly Search in Crowded Scenes via Spatio-Temporal Motion Context
  Yang Cong, Junsong Yuan, Yandong Tang, IEEE Transactions on Information Forensics Security, Volume 8, Issue 10, pp. 1590 - 1599, July 2013

• Abnormal Event Detection in Crowded Scenes using Sparse Representation
  Yang Cong, Junsong Yuan, Ji Liu, Pattern Recognition,Volume 46, Issue 7, pp.1851 - 1864, July2013

• Max-Margin Structured Output Regression for Spatio-T​emporal Action Localization
  Tran Du; Junsong Yuan, 2012 Advanes in Neural Information Processing Systems (NIPS)

• Sparse Reconstruction Cost for Abnormal Event Detection
  Yang Cong, Junsong Yuan & Ji Liu, 2011 IEEE Computer Vision and Pattern Recognition (CVPR)

• Optimal Spatio-Temporal Path Discovery for Video Event Detection
  Du Tran; Junsong Yuan, 2011 IEEE Computer Vision and Pattern Recognition (CVPR)

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Visual Scene Understanding and Captioning

• Towards Achieving Robust Low-level and High-level Scene Parsing
  B. Shuai, H. Ding, T. Liu, G. Wang, X.D. Jiang, IEEE Transactions on Image Processing (TIP) 2018

• Multimodal data fusion for sensitive scene localization
  Daniel Moreira, Sandra Avila, Mauricio Perez, Daniel Moraes, Vanessa Testoni, Eduardo Valle, Siome Goldenstein, Anderson Rocha, Information Fusion 2018

• Stack-Captioning: Coarse-to-Fine Learning for Image Captioning
  Jiuxiang Gu, Jianfei Cai, Gang Wang, Tsuhan Chen, 2018 32nd AAAI Conference on Artificial Intelligence (AAAI)

• Unpaired Image Captioning by Language Pivoting
  Jiuxiang Gu, Shafiq Joty, Jianfei Cai, Gang Wang, 2018 European Conference on Computer Vision (ECCV)

• An Empirical Study of Language CNN for Image Captioning
  Jiuxiang Gu, Gang Wang, Jianfei Cai, Tsuhan Chen, 2017 Internaltional Conference on Computer Vision (ICCV)

• Episodic CAMN: Contextual Attention-Based Memory Networks with Iterative Feedback for Scene Labeling
  Abrar H. Abdulnabi, Bing Shuai, Stefan Winkler, Gang Wang, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• DAG-Recurrent Neural Networks For Scene Labeling
  Bing Shuai, Zhen Zuo, Gang Wang and Bing Wang, CVPR, 2016

• Discovering Class-Specific Spatial Layouts for Scene Recognition
  Chaoqun Weng, Hongxing Wang, Junsong Yuan, Xudong Jiang, IEEE Signal Processing Letters (SPL) 2016

• LBP-Structure Optimization With Symmetry and Uniformity Regularizations for Scene Classification
  Jianfeng Ren, Xudong Jiang, Junsong Yuan, IEEE Signal Processing Letters (SPL) 2016

• Scene Parsing with Integration of Parametric and Non-parametric Models​
  Shuai Bing, Zhen Zuo, Gang Wang, and Bing Wang, IEEE Transactions on Image Processing (TIP) 2016

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Face Recognition

• Attention Selective Network for Face Synthesis and Pose-Invariant Face Recognition
  Jiashu Liao, Tanaya Guha, Victor Sanchez, Alex Kot, IEEE ICIP 2020 (under review).

• Hybrid Supervised Deep Learning for Ethnicity Classification using Face Images
  Zhao Heng, Manandhar Dipu, Kim-Hui Yap, 2018 IEEE International Symposium on Circuits & Systems (ISCAS)

• Color space construction by optimizing luminance and chrominance components for face recognition
  Ze Lu, Xudong Jiang, Alex Kot, Pattern Recognition (PR) 2018

• Deep coupled ResNet for low-resolution face recognition
  Ze Lu, Xudong Jiang, Alex Kot, IEEE Signal Processing Letters (SPL) 2018

• Feature fusion with covariance matrix regularization in face recognition
  Ze Lu, Xudong Jiang, Alex Kot, Signal Processing (SP) 2017

• Simultaneous local binary feature learning and encoding for homogeneous and heterogeneous face recognition
  Jiwen Lu, Venice Erin Liong, Xiuzhuang Zhou, Jie Zhou, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2017

• Discriminative Deep Metric Learning for Face and Kinship Verification
  Jiwen Lu, Junlin Hu, Yap-Peng Tan, IEEE Transactions on Image Processing (TIP) 2017

• Domain transfer sparse representation for single sample face recognition
  Venice Erin Liong, Haibin Yan, 2017 IEEE International Conference on Multimedia and Expo (ICME)

• Enhance deep learning performance in face recognition
  Ze Lu, Xudong Jiang, Alex C. Kot, 2017 IEEE 2nd International Conference on Image, Vision and Computing (ICIVC)

• A novel LBP-based Color descriptor for face recognition
  Ze Lu, Xudong Jiang, Alex C. Kot, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• Local Large-Margin Multi-Metric Learning for Face and Kinship Verification
  Junlin Hu, Jiwen Lu, Yap-Peng Tan, Junsong Yuan, Jie Zhou, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2017

• Classwise Sparse and Collaborative Patch Representation for Face Recognition
  Jian Lai, Xudong Jiang, IEEE Transactions On Image Processing, Vol. 25, No. 7, July 2016

• An effective color space for face recognition
  Ze Lu, Xudong Jiang, Alex Kot, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• Cost-Sensitive Local Binary Feature Learning for Facial Age Estimation
  Jiwen Lu, Venice Erin Liong, Jie Zhou, IEEE Transactions on Image Processing (TIP) 2015

• A Color Channel Fusion Approach for Face Recognition
  Ze Lu, Xudong Jiang, Alex C. Kot, IEEE Signal Processing Letters (SPL) 2015

• Simultaneous Local Binary Feature Learning and Encoding for Face Recognition
  Jiwen Lu, Venice Erin Liong, Jie Zhou, 2015 International Conference on Computer Vision (ICCV)

• Sparse and Dense Hybrid Representation via Dictionary Decomposition for Face Recognition
  Xudong Jiang, Jian Lai, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 37, No. 5, May 2015

• The FG 2015 Kinship Verification in the Wild Evaluation
  Jiwen Lu, Junlin Hu, Venice Erin Liong, Xiuzhuang Zhou, Andrea Bottino, et.al., 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)

• LBP-Based Edge-Texture Features for Object Recognition
  Amit Satpathy, Xudong Jiang, How-Lung Eng, IEEE Transactions On Image Processing, Vol. 23, No. 5, May 2014

• Human Detection by Quadratic Classification on Subspace of Extended Histogram of Gradients
  Amit Satpathy, Xudong Jiang, How-Lung Eng, IEEE Transactions On Image Processing, Vol. 23, No. 1, January 2014

• Large Margin Multi-Metric Learning for Face and Kinship Verification in the Wild
  Junlin Hu, Jiwen Lu, Junsong Yuan, Yap-Peng Tan, 2014 Asian Conference on Computer Vision (ACCV)

• Discriminative Deep Metric Learning for Face Verification in the Wild
  Junlin Hu, Jiwen Lu, Yap-Peng Tan, 2014 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)

• Noise-Resistant Local Binary Pattern With an Embedded Error-Correction Mechanism
  Jianfeng Ren, Xudong Jiang, Junsong Yuan, IEEE Transactions On Image Processing, Vol. 22, No. 10, October 2013

• Robust Feature Set Matching for Partial Face Recognition​
  Renliang Weng, Jiwen Lu, Junlin Hu, Gao Yang, Yap-Peng Tan, 2013 IEEE International Conference on Computer Vision (ICCV)​

• Robust Partial Face Recognition Using Instance-to-Class Distance
  Junlin Hu, Jiwen Lu, Yap-Peng Tan, 2013 IEEE Visual Communications and Image Processing (VCIP)

• Multi-View ordinal ranking for facial age estimation
  Renliang Weng, Jiwen Lu, Gao Yang, Yap-Peng Tan, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)

• Modular Weighted Global Sparse Representationfor Robust Face Recognition
  Jian Lai, Xudong Jiang, IEEE Signal Processing Letters, Vol. 19, No. 9, September 2012

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Deep Learning

• Recent advances in convolutional neural networks
  Gu, Jiuxiang, et al, Pattern Recognition 77 (2018): 354-377.

• Improved Network Robustness with Adversary Critic
  Alexander Matyasko and Lap-Pui Chau, 2018;Conference on Neural Information Processing Systems

• Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement
  Li Niu, Jianfei Cai, Ashok Veeraraghavan, Liqing Zhang, 2018 IEEE Transactions on Image Processing (TIP)

• Brand-Aware Fashion Clothing Search using CNN Feature Encoding and Re-ranking
  Dipu Manandhar, Kim Hui Yap, Muhammet Bastan, Zhao Heng, 2018 IEEE International Symposium on Circuits & Systems (ISCAS)

• Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement
  Li Niu, Jianfei Cai, Ashok Veeraraghavan, Liqing Zhang, IEEE Transactions on Image Processing (TIP) 2018

• Recent advances in convolutional neural networks
  Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, Tsuhan Chen, Pattern Recognition (PR) 2017

• DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
  Jason Kuen, Xiangfei Kong, Gang Wang, Yap Peng Tan, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• S-CNN: Subcategory-aware convolutional networks for object detection
  Chen, Tao, Shijian Lu, and Jiayuan Fan, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)2017

• ​​Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks ​
  Jinghua Wang, Zhenhua Wang, Dacheng Tao, Simon See, Gang Wang, 2016 European Conference on Computer Vision (ECCV)

• ​​Recent Advances in Convolutional Neural Networks​
  Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Li Wang, Gang Wang, Jianfei Cai, Tsuhan Chen, arXiv preprint, arXIV:1512.07108, 2015

• Visual Product Search for Fashion Domain: From Hand-crafted features to Deep Learning
  Huijing Zhan, Yan Wang, Abrar H. Abdulnabi, Sheng Li, Dennis Sng, Alex C. Kot,Simon See, Princess Maha Chakri Sirindhorn Congress Interdisciplinary Approach to Sustainable Research and Developments (INRIT 2015)

​

• Integrating Parametric and Non-parametric Models For Scene Labeling​
  Bing Shuai, Gang Wang, Zhen Zuo, Bing Wang, Lifan Zhao, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)

• Multi-Manifold Deep Learning for Image Set Classification
  Jiwen Lu , Gang Wang, Weihong Deng, Pierre Moulin, Jie Zhou, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)

• Learning Discriminative Hierarchical Features for Object Recognition
  Zhen Zuo, Gang Wang, IEEE Signal Processing Letters, Vol.21 (2014), Issue 9, pp.1159 - 1163, January 2014

• Learning Discriminative and Shareable Features for Scene Classification
  Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang, Xudong Jiang, 2014 European Conference on Computer Vision (ECCV)

• Recognizing trees at a distance with discriminative deep feature learning
  Zhen Zuo, Gang Wang,9th International Conference on Information, Communications and Signal Processing (ICICS 2013)

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Image Classification

• Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Nonlinear dictionary learning with application to image classification
  Junlin Hu, Yap-Peng Tan, Pattern Recognition (PR) 2017

• DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
  Jason Kuen, Xiangfei Kong, Gang Wang, Yap-Peng Tan, ICCV Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL) 2017

• Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks
  Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang and Bing Wang, IEEE Transactions on Image Processing 2016

• Learning Semantic Visual Dictionaries: A new Method For Local Feature Encoding
  Bing SHUAI, Zhen ZUO and Gang WANG, 2015 IEEE International Conference on Digital Signal Processing (DSP)

• Exploiting Privileged Information from Web Data for Image Categorization​
  Wen Li, Li Niu, Dong Xu, 2014 European Conference on Computer Vision (ECCV)

• Learning Weighted Geometric Pooling for Image Classification
  Chaoqun Weng, Hongxing Wang, Junsong Yuan, 2013 IEEE International Conference on Image Processing(ICIP)

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Multimedia

• vCache: Supporting Cost-Efficient Adaptive Bitrate Streaming via NFV-Based Virtual Caching
  Guanyu Gao,Yonggang Wen,Jianfei Cai, IEEE Multimedia 2017

• Dynamic Resource Provisioning with QoS Guarantee for Video Transcoding in Online Video Sharing Service
  Guanyu Gao, Yonggang Wen, Cedric Westphal, ACM MULTIMEDIA 2016

• Morph: A Fast and Scalable Cloud Transcoding System
  Guanyu Gao, Yonggang Wen, ACM MULTIMEDIA 2016

• Resource Provisioning and Profit Maximization for Transcoding in Information Centric Networking
  Guanyu Gao, Yonggang Wen, Cedric Westphal, Workshop on Multimedia Streaming in Information-/Content-Centric Networks (MuSIC 2016)

• Towards Cost-Efficient Video Transcoding in Media Cloud: Insights Learned From User Viewing Patterns
  Guanyu Gao, Weiwen Zhang, Yonggang Wen. Zhi Wang, Wenwu Zhu, IEEE Transactions on Multimedia (TMM) 2015

• Cost-efficient and QoS-aware content management in media cloud: Implementation and evaluation
  Guanyu Gao, Yonggang Wen, Weiwen Zhang, Han Hu, 2015 IEEE International Conference on Communications (ICC)

• Adaptive Configuration of Cloud Video Transcoding
  Ming Yang, Jianfei Cai, Weiwen Zhang, Yonggang Wen, Chuan Heng Foh, 2015 IEEE International Symposium on Circuits and Systems (ISCAS)

• Joint Learning For Image-Based Handbag Recommendation​
  Yan Wang, Sheng Li, Alex Kot, 2015 IEEE International Conference on Multimedia and Expo (ICME)

• Content Management in Media Cloud: QoE-Driven Approach and Cost-Efficient Perspective
  Weiwen Zhang, Yonggang Wen, Guanyu Gao, 2014 International Conference on Cloud Computing Research and Innovation (ICCCRI)

• Toward Transcoding as a Service in a Multimedia Cloud: Energy-Efficient Job-Dispatching Algorithm
  Weiwen Zhang, Yonggang Wen, Jianfei Cai, Dapeng Oliver Wu, IEEE Transactions on Vehicular Techonology, Volume 63, Issue 5, Pages 2002, March 2014

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Action Recognition

• Detection of Real-world Fights in Surveillance Videos
  Mauricio Perez, Alex C. Kot, Anderson Rocha​, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

• Feature Boosting Network For 3D Pose Estimation
  Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot,IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2019

• Skeleton-Based Online Action Prediction Using Scale Selection Network
  Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)​ 2019

• NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
  Jun Liu, Amir Shahroudy, Mauricio Lisboa Perez, Gang Wang, Ling-Yu Duan, Alex Kot Chichung,IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2019

• Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates
  Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, Gang Wang, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 40, Issue 12, page: 3007-3021, 2018

• Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition
  Junwu Weng, Mengyuan Liu, Xudong Jiang, Junsong Yuan, 2018 European Conference on Computer Vision (ECCV)

• SSNet: Scale selection network for online 3D action prediction
  Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks
  Jun Liu, Gang Wang, Ling-Yu Duan, Kamila Abdiyeva, Alex C. Kot, IEEE Transactions on Image Processing, VOL. 27, NO. 4, APRIL 2018 (TIP)

• Action Proposals Using Hierarchical Clustering of Super-Ttrajectories
  T. Zhang, L. Niu, J. Cai and A. Kot, accepted by Visual Communications and Image Processing (VCIP), 2017

• Skeleton based human action recognition with global context-aware attention LSTM networks
  Jun Liu, Gang Wang, Ling-Yu Duan, Kamila Abdiyeva, Alex C. Kot, IEEE Transactions on Image Processing (TIP) 2017

• Deep multimodal feature analysis for action recognition in RGB+ D videos
  Amir Shahroudy, Tian-Tsong Ng, Yihong Gong, Gang Wang, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)2017

• Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates
  Jun Liu, Amir Shahroudy,Dong Xu, Alex C. Kot, Gang Wang, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2017

• Common Action Discovery and Localization in Unconstrained Videos
  Jiong Yang, Junsong Yuan, 2017 Internaltional Conference on Computer Vision (ICCV)

• Global context-aware attention LSTM networks for 3D action recognition
  Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Spatio-temporal LSTM with trust gates for 3D human action recognition
  Jun Liu, Amir Shahroudy, Dong Xu, Gang Wang, The 14th European Conference on Computer Vision (ECCV 2016)

• NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
  Amir Shahroudy, Jun Liu, Tian-Tsong Ng, and Gang Wang, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Efficient object feature selection for action recognition
  Tianyi Zhang, Yu Zhang, Jianfei Cai, Alex C. Kot, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• Action and Event Recognition in Videos by Learning from Heterogeneous Web Sources
  Li Niu, Xinxing Xu, Lin Chen, Lixin Duan, Dong Xu, IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2016

• Exploiting Privileged Information from Web Data for Action and Event Recognition
  Li Niu, Wen Li, Dong Xu, International Journal of Computer Vision (IJCV) 2015

• Multimodal Multipart Learning for Action Recognition in Depth Videos
  Amir Shahroudy, Tian-Tsong Ng, Qingxiong Yang, and Gang Wang, accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2015

• Multi-modal Feature Fusion for Action Recognition in {RGB-D} Sequences
  Amir Shahroudy, Gang Wang , Tian Tsong Ng, 2014 International Symposium on Communications, Control, and Signal Processing (ISCCSP)

• Robust Part-Based Hand Gesture Recognition Using Kinect Sensor
  Zhou Ren, Junsong Yuan, Jingjing Meng, Zhengyou Zhang, IEEE Transactions on Multimedia (TMM) 2013

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Data Mining

• Inf2vec: Latent Representation Model for Social Influence Embedding
  Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Chee Yeow Meng, 2018 IEEE International Conference on Data Engineering (ICDE)

• Deep Representation Learning for Trajectory Similarity Computation
  Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, 2018 IEEE International Conference on Data Engineering (ICDE)

• Discovering Pollution Sources and Propagation Patterns in Urban Area
  Xiucheng Li, Yun Cheng, Gao Cong, Lisi Chen, 2017 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

• Topic Exploration in Spatio-Temporal Document Collections​
  Kaiqi Zhao, Lisi Chen, Gao Cong, 2016 ACM SIGMOD/PODS Conference​​​​

• Towards Personalized Maps: Mining User Preferences from Geotextual Data
  Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong,2016 42nd Internatiional Conference on Very Large Data Bases (VLDB)

• A System for Region Search and Exploration
  Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong, 2016 42nd International Conference on Very Large Data Bases(VLDB)

• Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs​
  Jinpeng Wang, Wayne Xin Zhao, Haitian Wei, Hongfei Yan, Xiaoming Li, Conference on Empirical Methods in Natural Language Processing (EMNLP 2013) ​​

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Database System

• Efficient Algorithms for Answering the m-Closest Keywords Query
  Tao Guo, Xin Cao, Gao Cong, 2015 Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)

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Sentiment Analysis

• One Seed to Find Them All: Mining Opinion Features via Association
  Zhen Hai, Kuiyu Chang, Gao Cong, Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM 2012)

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Forensics

• Image Splicing Localization Based on Blur Type Inconsistency
  Khosro Bahrami, Alex Kot, 2015 IEEE International Symposium on Circuits and Systems (ISCAS)

• Blurred Image Splicing Localization by Exposing Blur Type Inconsistency
  Bahrami K., Kot, A.C., Leida Li, Haoliang Li, IEEE Transactions on Information Forensics and Security, Volume 10, Issue 5, Pages999 - 1009, May 2015

• Image tampering detection by exposing blur type inconsistency​
  Khosro Bahrami, Alex C. Kot, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Person Re-Identification & Motion Analysis

• Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras
  Styles, O., Guha, T, Sanchez, V. and Kot, A, Precognition Workshop, CVPR-W 2020. [Best Student Paper Award]​

• AANet: Attribute Attention Network for Person Re-Identifications
  Chiat-Pin Tay, Sharmili Roy, Kim-Hui Yap, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

• Scale-Aware Attention Network for Crowd Counting
  Rahul Rama Varior, Bing Shuai, Joe Tighe, Davide Modolo 2019​

• Attention Driven Person Re-Identification
  Fan Yang, Ke Yan, Shijian Lu, Huizhu Jia, Xiaodong Xie, Wen Gao, Pattern Recognition, Vol 86, February 2019 (https://arxiv.org/abs/1810.05866)​

• Recurrent Spatial Pyramid CNN for Optical Flow Estimation
  Ping Hu, Gang Wang, Yap-peng Tan, IEEE Transactions on Multimedia (TMM) 2018

• Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification
  Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (https://arxiv.org/abs/1803.09937)

• Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification
  Shan Lin, Haoliang Li, Chang-Tsun Li, Alex Chichung Kot, British Machine Vision Conference(BMVC) 2018 (https://arxiv.org/abs/1807.01440)

• Person Reidentification Using Multiple Egocentric Views
  Anirban Chakraborty, Bappaditya Mandal, Junsong Yuan, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2016

• Learning invariant color features for person re-identification
  ​Rahul Rama Varior, Gang Wang, Jiwen Lu, Ting Liu, IEEE Transactions on Image Processing (TIP) 2016

• Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification
  ​Rahul Rama Varior, Mrinal Haloi, Gang Wang​ 2016

• ​A Siamese Long Short-Term Memory Architecture for Human Re-identification
  ​​Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, Gang Wang​ 2016

• ​Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification
  Rahul Rama Varior, Gang Wang, accepted in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2015

• ​A data-driven color feature learning scheme for image retrieval
  ​​​​​Rahul Rama Varior, Gang Wang 2015

• ​Visual Tracking using learned color features
  Ting Liu, Rahul Rama Varior, Gang Wang 2015

• Real-time part-based visual tracking via adaptive correlation filters
  Ting Liu, Gang Wang, Qingxiong Yang, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)

• Visual Tracking via Temporally Smooth Sparse Coding
  Ting Liu, Gang Wang, Li Wang, Kap Luk Chan; IEEE Signal Processing Letters

• Visual Tracking using Learned Color Features
  Ting Liu, Rahul Rama Varior, Gang Wang; IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015

• Video Tacking using Learned Hierarchical Features
  Li Wang, Ting Liu, Gang Wang, Kap Luk Chan and Qingxiong Yang; IEEE Transactions on Image Processing 2015

• Pedestrian Detection in Highly Crowded Scenes Using "Online" Dictionary Learning for Occlusion Handling
  Bing Wang, Chan Kap Luk, Gang Wang, Zhang Haijian, 2014 IEEE International Conference on Image Processing (ICIP)

• Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation
  Bing Wang, Gang Wang, Kap Luk Chan, and Li Wang, 2014 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)

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Video Pornography Classification

• Leveraging Deep Neural Networks to Fight Child Pornography in the Age of Social Media
  Paulo Vitorino, Sandra Avila, Mauricio Perez, Anderson Rocha, Journal of Visual Communication and Image Representation (JVCIR) 2017

• Video pornography detection through deep learning techniques and motion information
  Mauricio Perez, Sandra Avila, Daniel Moreira, Daniel Moraes, Vanessa Testoni, Eduardo Valle, Siome Goldenstein, Anderson Rocha, Neurocomputing 2016

• Pornography classification: The hidden clues in video space–time
  Daniel Moreira, Sandra Avila, Mauricio Perez, Daniel Moraes, Vanessa Testoni, Eduardo Valle, Siome Goldenstein, Anderson Rocha, Forensic Science International 2016

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Face Spoofing Detection

• Deep Neural Network Distilling for Face Spoofing Detection
  Haoliang Li, Shiqi Wang, Peisong He, Anderson Rocha, Alex C. Kot, submitted to IEEE Transactions on Circuits and Systems for Video Technology. (Under MAJOR Revision)

• Learning Generalized Deep Feature Representation for Face Anti-Spoofing
  Haoliang Li, Peisong He, Shiqi Wang, Anderson Rocha and Alex C. Kot, IEEE Transactions on Information Forensics and Security (TIFS) 2018

• Unsupervised Domain Adaptation for Face Anti-Spoofing
  Haoliang Li, Wen Li, Hong Cao, Shiqi Wang, Feiyue Huang and Alex C. Kot, IEEE Transactions on Information Forensics and Security (TIFS) 2018

• Image Recapturing Detection via Convolutional and Recurrent Neural Network
  Haoliang Li, Shiqi Wang, and Alex C. Kot, Proceedings of Media Watermarking, Security and Forensics, IS&T Electronic Imaging 2017

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Reflection Removal

• Reflection Scene Separation From a Single Image
  Renjie Wan, Boxin Shi, Haoliang Li, Lingyu Duan, Alex C. Kot, CVPR 2020 (accepted)

• What does Plate Glass Reveal about Camera Calibration?
  Qian Zheng, Jinnan Chen, Zhan Lu, Boxin Shi, Xudong Jiang, Kim-Hui Yap, Lingyu Duan, Alex Kot, CVPR 2020 (accepted)

• Denoising Adversarial Networks for Rain Removal and Reflection Removal
  Qian Zheng, Boxin Shi, Xudong Jiang, Ling-Yu Duan, Alex C Kot, ICIP 2019

• Region-Aware Reflection Removal With Unified Content and Gradient Priors
  Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Wen Gao, Alex C. Kot, IEEE Transactions onImage Processing (TIP) 2018

• CRRN: Multi-Scale guided Concurrent Reflection Removal
  R Wan, B Shi, L Y Duan, A H Tan, and A C Kot,2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Benchmarking Single-Image Reflection Removal Algorithms
  Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot, 2017 Internaltional Conference on Computer Vision (ICCV)

• Sparsity based reflection removal using external patch search
  Renjie Wan, Boxin Shi, Alex Kot, Ah Hwee Tan, 2017 IEEE International Conference on Multimedia and Expo (ICME)

• Depth of Field Guided Reflection Removal
  Renjie Wan, Boxin Shi, Ah Hwee Tan, Alex Kot, 2016 IEEE International Conference on Image Processing (ICIP)

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Video Object Segmentation

• Motion-Guided Cascaded Refinement Network for Video Object Segmentation
  Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-peng Tan, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Fast Appearance Modeling for Automatic Primary Video Object Segmentation
  Jiong Yang, Brian Price, Xiaohui Shen, Zhe Lin, Junsong Yuan, IEEE Transactions on Image Processing (TIP) 2015

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Fashion Analytics

• M2E-Try On Net: Fashion from Model to Everyone
  Zhonghua Wu, Guosheng Lin, Qingyi Tao, Jianfei Cai, 27th ACM International Conference on Multimedia (ACM MM 2019), October 21–25, 2019, Nice, France

• Tiered Similarity Search for Fashion
  Dipu Manandhar, Muhammet Bastan, Kim Hui Yap, 2018 European Conference on Computer Vision (ECCV)

• FASHION ANALYSIS WITH A SUBORDINATE ATTRIBUTE CLASSIFICATION NETWORK
  Huijing Zhan, Boxin Shi, Alex C. Kot, 2017 IEEE International Conference on Multimedia and Expo (ICME)

• Joint Learning For Image-Based Handbag Recommendation
  Yan Wang, Sheng Li, Alex Kot, 2015 IEEE International Conference on Multimedia and Expo (ICME)

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Segmentation & Saliency Detection

• Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation
  T. Zhang, G. Lin, J. Cai, T. Shen, C. Shen, A. Kot, IEEE Transactions on Multimedia (TMM), Vol 21, No 11, Nov 2019

• Semantic Segmentation via Domain Adaptation with Global Structure Embedding
  T. Zhang, G. Lin, J. Cai and A. Kot, Visual Communications and Image Processing (VCIP), 2019

• Task-in-all Domain Adaptation for Semantic Segmentation
  T. Zhang, J. Yang, C. Zheng, G. Lin, J. Cai and A. Kot, Visual Communications and Image Processing (VCIP), 2019

• Efficient Video Object Co-localization with Co-saliency Activated Tracklets
  Koteswar Rao Jerripothula, Jianfei Cai, Junsong Yuan, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2018

• Object Co-skeletonization with Co-segmentation
  Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, Junsong Yuan, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Fusing disparate object signatures for salient object detection in video
  Zhigang Tu, Zuwei Guo, Wei Xie, Mengjia Yan, Remco C Veltkamp, Baoxin Li, Junsong Yuan, Pattern Recognition (PR) 2017

• Recurrent Attentional Networks for Saliency Detection
  Jason Kuen, Zhenhua Wang, and Gang Wang, CVPR, 2016

• CATS: Co-saliency Activated Tracklet Selection for Video Co-localization
  Koteswar Rao Jerripothula, Jianfei Cai, Junsong Yuan, 2016 14th European Conference on Computer Vision (ECCV)

• Image Co-segmentation via Saliency Co-fusion
  Koteswar Rao Jerripothula*, Jianfei Cai, Junsong Yuan, IEEE Transactions on Multimedia (TMM) 2016

• Recurrent Attentional Networks for Saliency Detection
  Jason Kuen, Zhenhua Wang, Gang Wang, 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016)

• Group Saliency Propagation for Large Scale and Quick Image Co-Segmentation
  Koteswar Rao Jerripothula, Jianfei Cai, Junsong Yuan, 2015 IEEE International Conference on Image Processing (ICIP)

• Quality Guided Handbag Segmentation
  Yan WANG, Sheng LI and Alex KOT, 2015 IEEE International Conference on Digital Signal Processing (DSP)

• QCCE: Quality Constrained Co-saliency Estimation for Common Object Detection
  Koteswar Rao Jerripothula, Jianfei Cai, Junsong Yuan, 2015 IEEE International Conference on Visual Communications and Image Processing (VCIP)

• Improved Salient Object Detection Based on Background Priors
  Tao Xi, Yuming Fang, Weisi Lin, Yabin Zhang, Pacific-Rim Conference on Multimedia (PCM 2015)

• Discovering Primary Objects in Videos by Saliency Fusion and Iterative Appearance Estimation
  Jiong Yang, Gangqiang Zhao, Junsong Yuan, Xiaohui Shen, Zhe Lin, Brian Price, Jonathan Brandt, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2015

• On Multiple Image Group Cosegmentation(Best Student Paper Honorable Mention Award)
  Fanman Meng, Jianfei Cai, Hongliang Li, 2014 Asian Conference on Computer Vision (ACCV)​

• Automatic Image Co-segmentation Using Geometric Mean Saliency
  Koteswar Rao Jerripothula, Jianfei Cai, Fanman Meng, Junsong Yuan, 2014 IEEE International Conference on Image Processing (ICIP)

• Object-level image segmentation using low level cues
  H. Zhu, J. Zheng, J. Cai, and N. M. Thalmann , IEEE Transactions on Image Processing,Volume 22, Issue 10, pp.4019 -4027,June 2013

• Interactive object segmentation from multi-view images​
  T. Nguyen, J. Cai, J. Zheng; J. Li ,Journal of Visual Communications and Image Representation, Volume 24, Issue 4, pp. 477 - 485, May 2013

• Robust interactive image segmentation using convex active contours
  T. Nguyen, J. Cai, J. Zhang and J. Zheng , IEEE Transactions on Image Processing (TIP), vol. 21, no. 8, pp.3734-3743, Aug 2012

• User-friendly interactive image segmentation through unified combinatorial user inputs​
  W. Yang, J. Cai, J. Zheng, J. Luo, IEEE Transactions on Image Processing, vol. 19, no. 9, pp. 2470-2479, Sept. 2010.

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Visual Recognition

• Multi-view Harmonized Bilinear Network for 3D Object Recognition
  Tan Yu, Jingjing Meng, Junsong Yuan, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Integrated 3D Feature Augmentation and View Selection in Commercial Product Search
  Anu Susan Skaria, Kim-Hui Yap, 2017 IEEE International Conference on Image Processing (ICIP)

• Multi-view Domain Generalization for Visual Recognition
  Li Niu, Wen Li, Dong Xu, 2015 International Conference on Computer Vision (ICCV)

• Augmented Visual Phrase in Mobile Product Recognition
  Wen ZHANG, Anu Susan SKARIA, Dipu MANANDHAR, Kim-Hui YAP, Zhenwei MIAO, 10th International Conference on Information, Communications and Signal Processing (ICICS 2015)

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Text Analytics

• Fast Text Paragraph Image Classification based on Deep Neural Network
  Devadeep Shyam, Omkar Prabhune, and Alex Kot, IEEE International Conference on Computer and Communications Engineering Technology (CCET), 2019 (accepted).

• Wetext: Scene text detection under weak supervision
  Tian, Shangxuan, Shijian Lu, and Chongshou Li., Proc. ICCV. 2017.

• Histogram-based Fast text paragraph image detection​
  Devadeep Shyam, Wang Yan, Alex C. Kot, 2015 IEEE Symposium Series on Computational Intelligence (SSCI)

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Coding & Compression

• Lossy Compression Framework For Intermediate Deep Feature Compression
  Z. Chen, K. Fan, W. Lin, L. Duan, A. C. Kot, Singapore Provisional Patent 10201908371Q, 2019

• Lossy Intermediate Deep Learning Feature Compression and Evaluation
  Z. Chen, K. Fan, S. Wang, L. Duan, W. Lin, A. C. Kot, ACM Multimedia, 2019

• Toward Intelligent Sensing: Intermediate Deep Feature Compression
  Z. Chen, K. Fan, S. Wang, L. Duan, W. Lin, A. C. Kot, IEEE Transactions on Image Processing

• Motion-Guided Cascaded Refinement Network for Video Object Segmentation
  Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-peng Tan, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Video Summarization via Multi-View Representative Selection
  Jingjing Meng, Suchen Wang, Hongxing Wang, Junsong Yuan, Yap-Peng Tan, IEEE Transactions on Image Processing (TIP) 2018

• Video Summarization via Multi-View Representative Selection
  Jingjing Meng, Suchen Wang, Hongxing Wang, Junsong Yuan, Yap-Peng Tan, 2017 Internaltional Conference on Computer Vision (ICCV)

• High-Efficiency Image Coding via Near-Optimal Filtering
  Xinfeng Zhang, Shiqi Wang, Yabin Zhang, Weisi Lin, Siwei Ma, Wen Gao,IEEE Signal Processing Letters (SPL) 2017

• Band-Wise Adaptive Sparsity Regularization for Quantized Compressed Sensing Exploiting Nonlocal Similarity
  Jing Mu, Ruiqin Xiong, Xinfeng Zhang, Siwei Ma, 2017 Data Compression Conference (DCC)

• Just-Noticeable Difference-Based Perceptual Optimization for JPEG Compression
  Xinfeng Zhang, Shiqi Wang, Ke Gu, Weisi Lin, Siwei Ma, Wen Gao, 2016 IEEE Signal Processing Letters (SPL)

• A Joint Compression Scheme of Video Feature Descriptors and Visual Content
  Xiang Zhang , Siwei Ma, Shiqi Wang, Xinfeng Zhang, Huifang Sun, Wen Gao, 2016 IEEE Transactions on Image Processing (TIP)

• Utility-Driven Adaptive Preprocessing for Screen Content Video Compression
  Shiqi Wang, Xinfeng Zhang, Xianming Liu, Jian Zhang, Siwei Ma, Wen Gao, 2016 IEEE Transactions on Multimedia (TMM)

• Low-Rank Decomposition-Based Restoration of Compressed Images via Adaptive Noise Estimation
  Xinfeng Zhang, Weisi Lin, Ruiqin Xiong, Xianming Liu, Siwei Ma, Wen Gao, 2016 IEEE Transactions on Image Processing (TIP)

• Low-Rank based Nonlocal Adaptive Loop Filter for High Efficiency Video Compression
  Xinfeng Zhang,Ruiqin Xiong,Weisi Lin,Jian Zhang,Shiqi Wang,Siwei Ma,Wen Gao, 2016 IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

• Compressive Sampling-Based Image Coding for Resource-Deficient Visual Communication
  Xianming Liu, Deming Zhai, Jiantao Zhou, Xinfeng Zhang, Debin Zhao, Wen Gao, 2016 IEEE Transactions on Image Processing (TIP)

• From Visual Search to Video Compression: A Compact Representation Framework for Video Feature Descriptors
  Xiang Zhang, Siwei Ma, Shiqi Wang, Shanshe Wang, Xinfeng Zhang, Wen Gao, 2016 Data Compression Conference (DCC)

• Nonlocal In-Loop Filter: The Way Toward Next-Generation Video Coding?
  Siwei Ma, Xinfeng Zhang, Jian Zhang, Chuanmin Jia, Shiqi Wang, Wen Gao, IEEE Multimedia 2016

• Sparse Coding based Fisher Vector using a Bayesian Approach
  Kart-Leong Lim, Han Wang, IEEE Signal Processing Letters (SPL)2016

• Perceptually optimized sparse coding for HDR images via divisive normalization
  Lijuan Xie, Xiang Zhang, Shiqi Wang, Shanshe Wang, Xinfeng Zhang, Siwei Ma, 2016 Visual Communications and Image Processing (VCIP)

• From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection
  Jingjing Meng, Junsong Yuan, Jiong Yang, Gang Wang, Yap-Peng Tan, 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016)

• An inter-image redundancy measure for image set compression
  Xinfeng Zhang, Yabin Zhang, Weisi Lin, Siwei Ma, Wen Gao, 2015 IEEE International Symposium on Circuits and Systems (ISCAS)

• Compression noise estimation and reduction via patch clustering
  Xinfeng Zhang, Weisi Lin, Jiaying Liu, Siwei Ma, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

• Rate-Distortion Based Sparse Coding for Image Set Compression
  Xinfeng ZHANG, Weisi LIN, Siwei MA, Shiqi WANG, Wen GAO, 2015 IEEE International Conference on Visual Communications and Image Processing (VCIP)

• Video Compression Artifact Reduction via Spatio-Temporal Multi-Hypothesis Prediction
  Xinfeng Zhang, Ruiqin Xiong, Weisi Lin, Siwei Ma, Jiaying Liu, Wen Gao, 2015 IEEE Transactions on Image Processing (TIP)

• Cost Optimal Video Transcoding In Media Cloud: Insights From User Viewing Pattern
  Guanyu Gao, Weiwen Zhang, Yonggang Wen, Zhi Wang, Wenwu Zhu, Yap Peng Tan, 2014 IEEE International Conference on Multimedia & Expo (ICME)

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Image Quality Assessment

• Saliency Change Based Reduced Reference Image Quality Assessment
  Jinjian Wu, Yongxu Liu, Guangming Shi, Weisi Lin, 2017 IEEE Visual Communications and Image Processing (VCIP)

• MultipleLevel Feature Based Measure for Retargeted Image Quality
  Yabin Zhang, Weisi Lin, Qiaohong Li, Wentao Cheng, Xinfeng Zhang, IEEE Transactions on Image Processing (TIP) 2017

• No-Reference and Robust Image Sharpness Evaluation Based on Multiscale Spatial and Spectral Features
  Leida Li, Wenhan Xia, Weisi Lin, Yuming Fang, Shiqi Wang, 2016 IEEE Transactions on Multimedia (TMM)

• No-reference quality assessment for image sharpness and noise
  Lijuan Tang, Xiongkuo Min, Vinit Jakhetiya, Ke Gu, Xinfeng Zhang, Shuai Yang, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

• A reduced-reference quality assessment scheme for blurred images
  Zongxi Han, Guangtao Zhai, Yutao Liu, Ke Gu, Xinfeng Zhang, 2016 Visual Communications and Image Processing (VCIP)

• No-reference image quality assessment based on local region statistics
  Qiaohong Li, Weisi Lin, Yuming Fang, Xinfeng Zhang, Yabin Zhang, 2016 Visual Communications and Image Processing (VCIP)

• Subjective and Objective Quality Assessment of Compressed Screen Content Images
  Shiqi Wang, Ke Gu, Xiang Zhang, Weisi Lin, Li Zhang, Siwei Ma, Wen Gao, 2016 IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JESTCS)

• Reduced-Reference Quality Assessment of Screen Content Images
  Shiqi Wang, Ke Gu, Xinfeng Zhang, Weisi Lin, Siwei Ma, Wen Gao, 2016 IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

• Backward Registration-Based Aspect Ratio Similarity for Image Retargeting Quality Assessment
  Yabin Zhang, Yuming Fang, Weisi Lin, Xinfeng Zhang, Leida Li, 2016 IEEE Transactions on Image Processing (TIP)

• Sparse Representation-Based Image Quality Index With Adaptive Sub-Dictionaries
  Leida Li, Hao Cai, Yabin Zhang, Weisi Lin, Alex C. Kot, Xingming Sun, 2016 IEEE Transactions on Image Processing (TIP)

• Efficient Image Sharpness Assessment Based on Content Aware Total Variation
  Khosro Bahrami, Alex C. Kot, IEEE Transactions on Multimedia (TMM) 2016

• Quality assessment of tone-mapped images based on sparse representation
  Lijuan Xie, Xiang Zhang, Shiqi Wang, Xinfeng Zhang, Siwei Ma, 2016 IEEE International Symposium on Circuits and Systems (ISCAS)

• Aspect Ratio Similarity (ARS) for image retargeting quality assessment
  Yabin Zhang, Weisi Lin, Xinfeng Zhang, Yuming Fang, Leida Li, ICASSP 2016

• Image Sharpness Assessment by Sparse Representation
  Leida Li, Dong Wu, Jinjian Wu, Haoliang Li, Weisi Lin, Alex C. Kot, IEEE Transactions on Multimedia (TMM) 2016

• No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments
  Leida Li, Weisi Lin, Xuesong Wang, Gaobo Yang, Khosro Bahrami, Alex C. Kot, IEEE Transactions on Cybernetics (T.Cybernetics) 2016

• A Fast Approach for No-Reference Image Sharpness Assessment Based on Maximum Local Variation
  Khosro Bahrami, Alex C. Kot, IEEE Signal Processing Letters (SPL) 2014

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Denoising

• Image Denoising via Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity
  Ruiqin Xiong, Hangfan Liu, Xinfeng Zhang, Jian Zhang, Siwei Ma, Feng Wu, Wen Gao, IEEE Transactions on Image Processing (TIP) 2016

• Content-adaptive low rank regularization for image denoising
  Hangfan Liu, Xinfeng Zhang, Ruiqin Xiong, 2016 IEEE International Conference on Image Processing (ICIP)

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Generative Models

• Autoregressive Generative Adversarial Networks
  Yasin Yazıcı, Kim-Hui Yap, Stefan Winkler, 2018 Sixth International Conference on Learning Representations (ICLR)

• Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models
  Jiuxiang Gu, Jianfei Cai, Shafiq Joty, Li Niu, Gang Wang, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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Transfer Learning

• Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
  HL Li, S Wang, RJ Wan, Alex Kot, AAAI, Honolulu, Hawaii, USA, 2019.

• Domain Generalization with Adversarial Feature Learning 
  Haoliang Li, Sinno Jialin Pan, Shiqi Wang and Alex C. Kot, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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Abandoned Object Detection

• Abandoned object detection using pixel-based finite state machine and single shot multibox detector
  Devadeep Shyam, Alex Kot, and Chinmayee Athalye, 2018 IEEE International Conference on Multimedia and Expo (ICME)

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Food Recognition

• A COMPACT KNOWLEDGE DISTILLATION NETWORK FOR VISUAL FOOD RECOGNITION​
  Heng Zhao, Kim-Hui Yap, Alex Chichung Kot, Lingyu Duan,International Conference of Mass Data Analysis of Signals and Images in Artificial Intelligence and Pattern Recognition (MDA AI&PR), 2020

• A Compact Distilled Network by Accelerated Ensemble Learning for Mobile Visual Food Recognition
  Heng Zhao*, Kim-Hui Yap, Alex C. Kot,21st International Conference on Artificial Intelligence (ICAI), July 29 - August 1, 2019, USA. (poster paper)

• Few-shot and many-shot fusion learning in mobile visual food recognition​
  Zhao Heng, Kim-Hui Yap, Alex C. Kot, Lingyu Duan, Ngai-Man Cheung,2019 IEEE International Symposium on Circuits and Systems (ISCAS), FoodCAS

• ​Personalized Knowledge Distillation-based Mobile Food Recognition
  Zhao Heng, Sharmili Roy, Kim-Hui Yap, Alex Kot, Lingyu Duan, 2018 The 20th International Conference on Artificial Intelligence (ICAI)

• ​Visual Food Recognition for Dietary Logging and Health Monitoring
  Sharmili Roy, Zhao Heng, Kim-Hui Yap, Alex Kot, and Lingyu Duan, Learning Approaches in Signal Processing (Chapter 18), Pan Stanford Publishing, 2018.

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Biometrics

• Fingerprint Combination for Privacy Protection
  Sheng Li, Alex C. Kot, IEEE Transactions on Information Forensics and Security (TIFS) 2012

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Super Resolution

• Retrieval Compensated Group Structured Sparsity for Image Super-Resolution
  Jiaying Liu, Wenhan Yang, Xinfeng Zhang, Zongming Guo, IEEE Transactions on Multimedia (TMM) 2016

• Video super-resolution with registration-reliability regulation and adaptive total variation​
  Xinfeng Zhang, Ruiqin Xiong, Siwei Ma, Ge Li, Wen Gao, Journal of Visual Communication and Image Representation (VCIR) 2015

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Computational Photography

• SPLINE-Net: Sparse Photometric Stereo through Lighting Interpolation and Normal Estimation Networks
  Qian Zheng, Yiming Jia, Boxin Shi, Xudong Jiang, Ling-Yu Duan, and Alex C Kot, International Conference on Computer Vision (ICCV) (accepted), 2019

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Crowd Counting

• A Scale Adaptive Network for Crowd Counting
  Youmei Zhang, Chunluan Zhou, Faliang Chang, Alex C Kot, Neurocomputing Vol 362, 14 Oct 2019, Pages 139-146

• Multi-Resolution Attention Convolutional Neural Network for Crowd Counting
  Youmei Zhang, Chunluan Zhou, Faliang Chang, Alex C Kot, Neurocomputing Vol 329, 15 Feb 2019, Pages 144-152

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Others

• Scene Graph Generation with External Knowledge and Image Reconstruction
  Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling,2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Heterogeneous Domain Adaptation via Non-linear Matrix Factorization​
  Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot,IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2019

• Beyond Ranking Loss: Deep Holographic Networks for Multi-label Video Search​
  Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin, 2019 IEEE International Conference on Image Processing (ICIP)

• Computer Graphics Identification Combining Convolutional and Recurrent Neural Networks​
  Peisong He, Xinghao Jiang, Tanfeng Sun, Haoliang Li, IEEE Signal Processing Letters (SPL) 2018

• Saliency Change Based Reduced Reference Image Quality Assessment
  Jinjian Wu, Yongxu Liu, Guangming Shi, Weisi Lin, accepted in IEEE VCIP 2017

• Fast approximation of variational Bayes Dirichlet process mixture using the maximization–maximization algorithm
  Lim Kart-Leong, Han Wang, 2017 International Journal of Approximate Reasoning

• An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks
  Yiding Liu, Tuan-Anh Pham, Gao Cong, Quan Yuan, 2017 43rd Internatiional Conference on Very Large Data Bases (VLDB)

• Fried Binary Embedding for High-Dimensional Visual Features
  Weixiang Hong, Junsong Yuan, Das Bhattacharjee Sreyasee, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Temporally Enhanced Image Object Proposals for Videos
  Jiong Yang, Junsong Yuan, 2017 IEEE International Conference on Multimedia and Expo (ICME)

• HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval
  Jie Lin, Ling-Yu Duan, Shiqi Wang, Yan Bai, Yihang Lou, Vijay Chandrasekhar, Tiejun Huang, Alex ChiChung Kot, Wen Gao, IEEE Transactions on Multimedia (TMM) 2017

• Hybrid Laplace Distribution-Based Low Complexity Rate-Distortion Optimized Quantization
  Jing Cui , Shanshe Wang, Shiqi Wang , Xinfeng Zhang, Siwei Ma, Wen Gao, IEEE Transactions on Image Processing (TIP) 2017

• MAP approximation to the variational Bayes Gaussian mixture model and application
  Kart-Leong Lim, Han Wang, 2017 Soft Computing

• Wetext: Scene text detection under weak supervision
  Tian, Shangxuan, Shijian Lu, and Chongshou Li, 2017 IEEE International Conference on Computer Vision(ICCV)

• Laplace gradient based Discriminative and Contrast Invertible descriptor
  Zhenwei Miao, Kim-Hui Yap, Xudong Jiang, Subbhuraam Sinduja, Zhenhua Wang, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• Deep Coupled Metric Learning for Cross-Modal Matching
  Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou, 2016 IEEE Transactions on Multimedia (TMM)

• Deep Video Hashing
  Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou, 2016 IEEE Transactions on Multimedia (TMM)

• Part-based Tracking via Discriminative Correlation Filters​
  Ting Liu, Gang Wang, Qingxiong Yang, Li Wang, 2016 IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

• Transform-domain in-loop filter with block similarity for HEVC
  Xinfeng Zhang, Weisi Lin, Ke Gu, Qiaohong Li, Shanshe Wang, Siwei Ma, 2016 Visual Communications and Image Processing (VCIP)

• A local-adapted disparity vector derivation scheme for 3D-AVS
  Qi Mao, Shanshe Wang, Jing Su, Xiang Zhang, Xinfeng Zhang, Siwei Ma, 2016 Visual Communications and Image Processing (VCIP)

• A Data-Driven Point Cloud Simplification Framework for City-Scale Image-Based Localization
  Wentao Cheng, Weisi Lin, Xinfeng Zhang, Michael Goesele, Ming-Ting Sun, 2016 IEEE Transactions on Image Processing (TIP)

• Adaptive multi-dimension sparsity based coefficient estimation for compression artifact reduction
  Jing Mu, Xinfeng Zhang, Ruiqin Xiong, Siwei Ma, Wen Gao, 2016 IEEE International Conference on Multimedia and Expo (ICME)

• Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association
  Bing Wang, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Kap Luk Chan, Gang Wang, 2016 IEEE Conference on Computer Vision and Pattern Recognition workshops (CVPR 2016)

• Visual Recognition by Learning from Web Data via Weakly Supervised Domain Generalization
  Li Niu, Wen Li, Dong Xu, Jianfei Cai, 2016 IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

• Non-Local Gradient Sparsity Regularization for Image Restoration
  Hangfan Liu, Ruiqin Xiong, Xinfeng Zhang, Yongbing Zhang, Siwei Ma, Wen Gao, 2016 IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

• Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation
  Bing Wang, Gang Wang, Kap Luk Chan, Li Wang, 2016 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

• Shadow ​Detection Using Double-Threshold Pulse Coupled Neural Networks
  Jing Ji, Xudong Jiang, Wei Sun, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• Color space identification from single ima​ges​
  Haoliang Li, Alex C. Kot, Leida Li, 2016 IEEE International Symposium on Circuits and Systems (ISCAS)​

• Contrast Invariant Interest Point Detection by Zero-Norm LoG Filter
  Zhenwei Miao, Xudong Jiang, Kim-Hui Yap, IEEE Transactions on Image Processing (TIP) 2016

• Registration of Under-Sampled Images via Higher Resolution Spectrum Restoration
  Qiang SONG, Ruiqin XIONG, Xinfeng ZHANG, Siwei MA, Wen GAO, 2015 IEEE International Conference on Visual Communications and Image Processing (VCIP)

• Glasses-free Light Field 3D Display
  Shizheng WANG, Xiangyu ZHANG, Qijia CHENG, Kaviya RAJENDRAN, Phil SURMAN, Junsong YUAN, Xiao Wei SUN, 2015 IEEE International Conference on Visual Communications and Image Processing (VCIP)

• Two-layer Optimized Light Field Display Using Depth Initialization
  Shizheng WANG, Zhenfeng ZHUANG, Phil SURMAN, Junsong YUAN, Yuanjin ZHENG, Xiao Wei SUN, 2015 IEEE International Conference on Visual Communications and Image Processing (VCIP)

• Efficient Image Retrieval Based Mobile Indoor Localization
  Ruoyun HE, Yitong WANG, Qingyi TAO, Jianfei CAI, Lingyu DUAN, 2015 IEEE International Conference on Visual Communications and Image Processing (VCIP)

• Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps
  Kang Dang, Jiong Yang, Junsong Yuan., 2015 International Conference on Computer Vision (ICCV)

• Exploring Local and Overall Ordinal Information for Robust Feature Description
  Zhenhua Wang, Bin Fan, Gang Wang and Fuchao Wu, accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016

• Efficient Processing of Spatial Group Keyword Queries
  Xin Cao, Gao Cong, Tao Guo, Christian S. Jensen, Beng Chin Ooi, ACM Transactions on Database Systems (TODS) 2015

• A Low Complexity Interest Point Detector​
  Jie Chen, Ling-Yu Duan, Feng Gao, Jianfei ​Cai , Kot, A.C., Tiejun Huang, IEEE Signal Processing Letters, Volume 22 (2014), Issue 2, Pages 172 - 176, February 2015

• Exploiting Low-rank Structure from Latent Domains for Domain Generalization
  Xu Zheng, Wen Li, Li Niu, Dong Xu, 2014 European Conference on Computer Vision (ECCV)

• Coarse-to-Fine Review Selection via Supervised Joint Aspect and Sentiment Model
  Zhen Hai, Gao Cong, Kuiyu Chang, Wenting Liu, Peng Cheng, 37th international ACM SIGIR conference on Research & development in information retrieval (SIGIR 2014)

• Multi-feature Spectral Clustering with Minimax Optimization
  Hongxing Wang, Chaoqun Weng, Junsong Yuan, 2014 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)

• LT-W: Improving LT Decoding with Wiedemann Solver
  Haifeng LU, Feng LU, Jianfei Cai, Chuan Heng Foh, IEEE Transactions on Information Theory (TIT) 2013

• Identifying Features in Opinion Mining via Intrinsic and Extrinsic Domain Relevance
  Zhen Hai, Kuiyu Chang, Jung-Jae Kim, Christopher C. Yang, IEEE Transactions on Knowledge and Data Engineering (TKDE) 2013

• Hierarchical Sparse Coding based on Spatial Pooling and Multi-feature Fusion
  Chaoqun Weng, Hongxing Wang, Junsong Yuan, 2013 IEEE International Conference on Multimedia Expo (ICME)​

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AVS Meeting Proposal

AVS Meeting Proposal

70th AVS Meeting 08/2019	Zhuo Chen, Kui Fan, Weisi Lin, Qiang Fu, Lingyu Duan, Alex C. Kot, "Mode extension for Pre-quantization and Repack modules", Audio Video Coding Standard (AVS) document AI M1122
69th AVS Meeting 06/2019	Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, "Minimum Standardization for Lossy Deep Feature Map Compression", Audio Video Coding Standard (AVS) document AI M1100
68th AVS Meeting 03/2019	Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, "To Add Support for Integer Input for the Lossy Compression Framework of Deep Feature Maps", Audio Video Coding Standard (AVS) document AI M1089
68th AVS Meeting 03/2019	Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, "Upgrade for Framework and Test Condition for Lossy Compression of Deep Feature Maps", Audio Video Coding Standard (AVS) document AI M1088
12/2018–01/2019	Zhuo Chen was the software coordinator for the reference software development of AVS/AITISA Visual Feature Coding Group
67th AVS Meeting 12/2018	Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, Tiejun Huang, "The Framework and Test Condition for Lossy Compression of Deep Feature Maps," Audio Video Coding Standard (AVS) document AI M1061
66th AVS Meeting 08/2018	Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, Tiejun Huang, "Lossy Compression of Deep Feature Maps with Video Codecs," Audio Video Coding Standard (AVS) document AI M1030
65th AVS Meeting 06/2018	Zhuo Chen, Kui Fan, "Test Condition for Lossy Compression of Deep Feature Maps," Audio Video Coding Standard (AVS) document AI M1014
65th AVS Meeting 06/2018	Kui Fan, Zhuo Chen, "Framework for Lossy Compression of Deep Feature Maps," Audio Video Coding Standard (AVS) document AI M1013

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