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ORCIDYang Wang 0003
Person information
- affiliation: Concordia University, Canada
- affiliation (former): University of Manitoba, Department of Computer Science, Winnipeg, Canada
- affiliation (former): University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- affiliation (former): Simon Fraser University, Schools of Computing Science, Burnaby, Canada
Other persons with the same name
- Yang Wang — disambiguation page
- Yang Wang 0001 — Siemens Corporate Research, Princeton, NJ, USA (and 2 more)
- Yang Wang 0002
![[0000-0002-6815-0879]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6815-0879")
— University of New South Wales, Sydney, Australia (and 3 more) - Yang Wang 0004 — University of Nebraska, Lincoln, NE, USA
- Yang Wang 0005 — University of Illinois at Urbana-Champaign, Champaign, IL, USA (and 3 more)
- Yang Wang 0006 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China (and 2 more)
- Yang Wang 0007 — Pattern Discovery Technologies Inc, Waterloo, ON, Canada
- Yang Wang 0008 — Carnegie Mellon University, Pittsburgh Supercomputing Center, Pittsburgh, PA, USA
- Yang Wang 0009 — Ohio State University, Columbus, OH, USA (and 2 more)
- Yang Wang 0010 — University of Portsmouth, UK (and 1 more)
- Yang Wang 0011 — Chinese Academy of Sciences, Key Laboratory of Computer Systems & Architecture, Beijing, China
- Yang Wang 0012 — Albert-Ludwigs-Universität Freiburg, Germany
- Yang Wang 0013 — Georgia Institute of Technology, Atlanta, GA, USA
- Yang Wang 0014 — Google (and 1 more)
- Yang Wang 0015 — University of Science and Technology of China, School of Information Science and Technology, Hefei
- Yang Wang 0016 — La Salle University, Philadelphia, PA, USA (and 1 more)
- Yang Wang 0017 — Nankai University, Tianjin, China
- Yang Wang 0018 — Peking University, Beijing, China (and 1 more)
- Yang Wang 0019 — East China Normal University, Shanghai, China (and 1 more)
- Yang Wang 0020 — Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong (and 1 more)
- Yang Wang 0021 — Stanford University, CA, USA
- Yang Wang 0022 — Shenzhen Academy of Inspection & Quarantine, China
- Yang Wang 0023 — Hefei University of Technology, Hefei, China (and 3 more)
- Yang Wang 0024 — Zhengzhou Information Science and Technology Institute, China
- Yang Wang 0025 — Chinese Academy of Sciences, Shenyang Institute of Automation, China (and 1 more)
- Yang Wang 0026 — Autonomous University of Madrid, Spain
- Yang Wang 0027 — Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, MD, USA
- Yang Wang 0028 — University of the Chinese Academy of Sciences, Chengdu Institute of Computer Applications, China
- Yang Wang 0029 — Harbin Institute of Technology, Shenzhen Graduate School, China
- Yang Wang 0030 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China (and 1 more)
- Yang Wang 0031 — Xi'an Jiaotong University, School of Electronic and Information Engineering, China
- Yang Wang 0033 — Huazhong University of Science and Technology, State Key Laboratory of Digital Manufacturing Equipment and Technology, China
- Yang Wang 0034 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Yang Wang 0035 — Shenyang University of Chemical Technology, Department of Mathematics and Physics, China
- Yang Wang 0036 — Xi'an Jiaotong University, School of Public Policy and Administration, China (and 4 more)
- Yang Wang 0037 — Durham University, UK
- Yang Wang 0038 — University of the West of Scotland, Hamilton, UK
- Yang Wang 0039 — Max Planck Institute for Chemistry, Mainz, Germany (and 1 more)
- Yang Wang 0040 — Kwangwoon University, Department of Radio Science and Engineering, Seoul, South Korea
- Yang Wang 0041 — Fudan University, School of Computer Science, Shanghai, China
- Yang Wang 0042 — Harbin Institute of Technology, Department of Mathematics, Weihai, China
- Yang Wang 0043 — University of Melbourne, Department of Electrical and Electronic Engineering, VIC, Australia
- Yang Wang 0044 — Zhejiang University, Institute of Agriculture Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Hangzhou, China
- Yang Wang 0045 — Guizhou University, School of Electrical Engineering, Guiyang, China
- Yang Wang 0046 — Baidu Research, Institute of Deep Learning, Sunnyvale, CA, USA
- Yang Wang 0047 — University of Glasgow, School of Social and Political Sciences, UK
- Yang Wang 0048 — Harbin Institute of Technology, Department of Computer Science and Technology, China
- Yang Wang 0049 — University of Stuttgart, Institute of Software Technology, Germany
- Yang Wang 0050 — Shandong University, School of Mathematics, Jinan, China
- Yang Wang 0051 — Chinese Academy of Sciences, Institute of Mechanics, National Microgravity Laboratory, Beijing, China
- Yang Wang 0052 — Shanghai Normal University, Mathematics and Science College, China
- Yang Wang 0053 — University of Electronic Science and Technology of China, MOE Key Laboratory of Optical Fiber Sensing and Communications, Chengdu, China
- Yang Wang 0054 — Harbin Institute of Technology, School of Electronic and Information Engineering, Shenzhen, China
- Yang Wang 0055 — Harbin Institute of Technology, School of Mechatronics Engineering, China
- Yang Wang 0056 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 1 more)
- Yang Wang 0057 — Wuhan University, Hubei Key Laboratory of Waterjet Theory and New Technology, China
- Yang Wang 0058 — Liaoning Technical University, School of Geomatics, Fuxin, China
- Yang Wang 0059 — North China Electric Power University, School of Control and Computer Engineering, Beijing, China
- Yang Wang 0060 — Shanghai Normal University, Shanghai, China (and 1 more)
- Yang Wang 0061 — Central China Normal University, Hubei Research Center on Informationization in Education, Wuhan, China
- Yang Wang 0062 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Yang Wang 0063 — Imperial College London, Department of Electrical and Electronic Engineering, London, UK
- Yang Wang 0064 — Sichuan University, College of Electrical Engineering, Chengdu, China (and 1 more)
- Yang Wang 0065 — Shenzhen Polytechnic, School of Electronic and Communication Engineering, China
- Yang Wang 0066 — Xiamen University, School of Informatics, China
- Yang Wang 0067 — Tongji University, Department of Information and Communication Engineering, Shanghai, China
- Yang Wang 0068 — Beijing University of Technology, Information Technology, China
- Yang Wang 0069 — Chongqing University of Posts and Telecommunications, Key Laboratory of Mobile Communication, China
- Yang Wang 0070 — Taizhou University, School of Electronics and Information Engineering, China
- Yang Wang 0071 — Chinese Academy of Sciences, Institute of Acoustics, Key Laboratory of Noise and Vibration Research, Beijing, China
- Yang Wang 0072 — University of Colorado Boulder, CO, USA
- Yang Wang 0073 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Yang Wang 0074 — University of Wollongong, NSW, Australia
- Yang Wang 0075 — Xidian University, MoE Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
- Yang Wang 0076 — Beijing Institute of Technology, School of Mechatronical Engineering, China (and 1 more)
- Yang Wang 0077 — Wuhan University, School of Geodesy and Geomatics, China
- Yang Wang 0078 — Nanjing University of Science and Technology, School of Intellectual Property, China
- Yang Wang 0079 — Shanghai Jiao Tong University, SJTU-Yale Joint Center for Biostatistics, China
- Yang Wang 0080 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Yang Wang 0081 — Harvard Medical School, Blavatnik Institute, Department of Genetics, Boston, MA, USA (and 1 more)
- Yang Wang 0082 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Yang Wang 0083 — Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China (and 1 more)
- Yang Wang 0084 — Sichuan University, School of Mechanical Engineering, Chengdu, China
- Yang Wang 0085 — Sichuan University, College of Electrical Engineering, Chengdu, China
- Yang Wang 0086 — Fudan University, Department of Materials Science, State Key Laboratory of ASIC and Systems, Shanghai, China
- Yang Wang 0087 — Medical College of Wisconsin, Department of Radiology, Milwaukee, WI, USA
- Yang Wang 0088 — Singapore University of Technology and Design, Centre for Innovative Cities, Singapore
- Yang Wang 0089 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Yang Wang 0090 — Nanjing University of Science and Technology, School of Intellectual Property, China
- Yang Wang 0091 — Xijing University, School of Science, Xi'an, China
- Yang Wang 0092 — Shanghai Dianji University, School of Electrical Engineering, China (and 1 more)
- Yang Wang 0093 — Jilin University, School of Mechanical and Aerospace Engineering (SMAE), Changchun, China
- Yang Wang 0094 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China
- Yang Wang 0095 — Shanxi University, School of Mathematical Sciences, Taiyuan, China
- Yang Wang 0096 — Southwest Petroleum University, Chengdu, China
- Yang Wang 0097 — Stony Brook University, NY, USA
- Yang Wang 0098 — Northwestern Polytechnical University, Xi'an, Shanxi, China
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2020 – today
- 2024
[c101]Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng:
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. AAAI 2024: 15961-15969- 2023
- [j25]Yanan Wu, Songhe Feng, Yang Wang:
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6788-6803 (2023) - [j24]Seyed Mehdi Ayyoubzadeh, Wentao Liu, Irina Kezele, Yuanhao Yu, Xiaolin Wu, Yang Wang, Jin Tang:
Test-Time Adaptation for Optical Flow Estimation Using Motion Vectors. IEEE Trans. Image Process. 32: 4977-4988 (2023) - [j23]Lili Zhu, Petros Spachos, Pai Chet Ng, Yuanhao Yu, Yang Wang, Konstantinos N. Plataniotis, Dimitrios Hatzinakos:
Stress Detection Through Wrist-Based Electrodermal Activity Monitoring and Machine Learning. IEEE J. Biomed. Health Informatics 27(5): 2155-2165 (2023) - [j22]Zhen Bai, Zhi Liu, Gongyang Li, Yang Wang:
Adaptive Group-Wise Consistency Network for Co-Saliency Detection. IEEE Trans. Multim. 25: 764-776 (2023) - [j21]Ziqiang Wang, Zhi Liu, Gongyang Li, Yang Wang, Tianhong Zhang, Lihua Xu, Jijun Wang:
Spatio-Temporal Self-Attention Network for Video Saliency Prediction. IEEE Trans. Multim. 25: 1161-1174 (2023) - [j20]Huan Liu, Wentao Liu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang:
Fast Human Pose Estimation in Compressed Videos. IEEE Trans. Multim. 25: 1390-1400 (2023) - [c100]Linwei Ye, Zhi Liu, Yang Wang:
PointerNet with Local and Global Contexts for Natural Language Moment Localization. CICAI (1) 2023: 305-316 - [c99]Mehrdad Hosseinzadeh, Yang Wang:
Few-Shot Personality-Specific Image Captioning via Meta-Learning. CRV 2023: 320-327 - [c98]Fahim Faisal, Carson K. Leung, Noman Mohammed, Yang Wang:
Privacy-Preserving Learning via Data and Knowledge Distillation. DSAA 2023: 1-10 - [c97]Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng:
MetaGCD: Learning to Continually Learn in Generalized Category Discovery. ICCV 2023: 1655-1665 - [c96]Mostafa Shahabinejad, Irina Kezele, Seyed Shahabeddin Nabavi, Wentao Liu, Seel Patel, Yuanhao Yu, Yang Wang, Jin Tang:
Video Action Recognition with Adaptive Zooming Using Motion Residuals. ICCV (Workshops) 2023: 1206-1215 - [c95]Shekhor Chanda, Yang Wang:
Dynamic Transfer for Domain Adaptation in Crowd Counting. MVA 2023: 1-5 - [c94]Huan Liu, Zhixiang Chi, Yuanhao Yu, Yang Wang, Jun Chen, Jin Tang:
Meta-Auxiliary Learning for Future Depth Prediction in Videos. WACV 2023: 5745-5754 - [c93]Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh, Zhi Liu, Yang Wang:
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation. WACV 2023: 6254-6263 - [i30]Yanan Wu, Songhe Feng, Yang Wang:
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition. CoRR abs/2304.11275 (2023) - [i29]Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng:
MetaGCD: Learning to Continually Learn in Generalized Category Discovery. CoRR abs/2308.11063 (2023) - [i28]Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng:
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. CoRR abs/2312.10165 (2023) - 2022
- [j19]Binglin Li, Linwei Ye, Jie Liang, Yang Wang, Jingning Han:
Region-of-interest and channel attention-based joint optimization of image compression and computer vision. Neurocomputing 500: 13-25 (2022) - [j18]Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang:
Referring Segmentation in Images and Videos With Cross-Modal Self-Attention Network. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3719-3732 (2022) - [j17]Yong Wu, Gongyang Li, Zhi Liu, Mengke Huang, Yang Wang:
Gaze Estimation via Modulation-Based Adaptive Network With Auxiliary Self-Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5510-5520 (2022) - [j16]Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu, Yang Wang:
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting. IEEE Trans. Multim. 24: 1008-1019 (2022) - [c92]Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang:
Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity. AAAI 2022: 1564-1573 - [c91]Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, Li Cheng:
Contrastive Learning for Unsupervised Video Highlight Detection. CVPR 2022: 14022-14032 - [c90]Zhixiang Chi, Li Gu, Huan Liu, Yang Wang, Yuanhao Yu, Jin Tang:
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning. CVPR 2022: 14146-14155 - [c89]Fahim Faisal, Noman Mohammed, Carson K. Leung, Yang Wang:
Generating Privacy Preserving Synthetic Medical Data. DSAA 2022: 1-10 - [c88]Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang:
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay. ECCV (24) 2022: 146-162 - [c87]Dae Yon Hwang, Pai Chet Ng, Yuanhao Yu, Yang Wang, Petros Spachos, Dimitrios Hatzinakos, Konstantinos N. Plataniotis:
Hierarchical Deep Learning Model with Inertial and Physiological Sensors Fusion for Wearable-Based Human Activity Recognition. ICASSP 2022: 21-25 - [c86]Lili Zhu, Pai Chet Ng, Yuanhao Yu, Yang Wang, Petros Spachos, Dimitrios Hatzinakos, Konstantinos N. Plataniotis:
Feasibility Study of Stress Detection with Machine Learning through EDA from Wearable Devices. ICC 2022: 4800-4805 - [c85]Tao Zhong, Zhixiang Chi, Li Gu, Yang Wang, Yuanhao Yu, Jin Tang:
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts. NeurIPS 2022 - [i27]Hojjat Salehinejad, Yang Wang, Yuanhao Yu, Jin Tang, Shahrokh Valaee:
S-Rocket: Selective Random Convolution Kernels for Time Series Classification. CoRR abs/2203.03445 (2022) - [i26]Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang:
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay. CoRR abs/2207.11213 (2022) - [i25]Li Gu, Zhixiang Chi, Huan Liu, Yuanhao Yu, Yang Wang:
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022. CoRR abs/2210.00174 (2022) - [i24]Tao Zhong, Zhixiang Chi, Li Gu, Yang Wang, Yuanhao Yu, Jin Tang:
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts. CoRR abs/2210.03885 (2022) - [i23]Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh, Zhi Liu, Yang Wang:
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation. CoRR abs/2210.09922 (2022) - 2021
- [j15]Zhen Bai, Zhi Liu, Gongyang Li, Linwei Ye, Yang Wang:
Circular Complement Network for RGB-D Salient Object Detection. Neurocomputing 451: 95-106 (2021) - [j14]Yong Wu, Zhi Liu, Xiaofei Zhou, Linwei Ye, Yang Wang:
ATCC: Accurate tracking by criss-cross location attention. Image Vis. Comput. 111: 104188 (2021) - [c84]Mehrdad Hosseinzadeh, Yang Wang:
Image Change Captioning by Learning From an Auxiliary Task. CVPR 2021: 2725-2734 - [c83]Zhixiang Chi, Yang Wang, Yuanhao Yu, Jin Tang:
Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning. CVPR 2021: 9137-9146 - [c82]Mostafa Shahabinejad, Yang Wang, Yuanhao Yu, Jin Tang, Jiani Li:
Toward Personalized Emotion Recognition: A Face Recognition Based Attention Method for Facial Emotion Recognition. FG 2021: 1-5 - [c81]Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, Li Cheng:
Joint Visual and Audio Learning for Video Highlight Detection. ICCV 2021: 8107-8117 - [c80]Mehrdad Hosseinzadeh, Yang Wang:
Video Captioning of Future Frames. WACV 2021: 979-988 - [i22]Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang:
Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network. CoRR abs/2102.04762 (2021) - [i21]Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang:
Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity. CoRR abs/2112.05883 (2021) - 2020
- [j13]Mahmoud Kalash, Mrigank Rochan, Noman Mohammed, Neil D. B. Bruce, Yang Wang, Farkhund Iqbal:
A Deep Learning Framework for Malware Classification. Int. J. Digit. Crime Forensics 12(1): 90-108 (2020) - [j12]Minyu Chen, Zhi Liu, Linwei Ye, Yang Wang:
Attentional coarse-and-fine generative adversarial networks for image inpainting. Neurocomputing 405: 259-269 (2020) - [j11]Zheng Hu, Zhi Liu, Gongyang Li, Linwei Ye, Lei Zhou, Yang Wang:
Weakly supervised instance segmentation using multi-stage erasing refinement and saliency-guided proposals ordering. J. Vis. Commun. Image Represent. 73: 102957 (2020) - [j10]Linwei Ye, Zhi Liu, Yang Wang:
Dual Convolutional LSTM Network for Referring Image Segmentation. IEEE Trans. Multim. 22(12): 3224-3235 (2020) - [c79]Mrigank Rochan, Mahesh Kumar Krishna Reddy, Yang Wang:
Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation. BMVC 2020 - [c78]Mohammad Asiful Hossain, Mahesh Kumar Krishna Reddy, Kevin Cannons, Zhan Xu, Yang Wang:
Domain Adaptation in Crowd Counting. CRV 2020: 150-157 - [c77]Mehrdad Hosseinzadeh, Yang Wang:
Composed Query Image Retrieval Using Locally Bounded Features. CVPR 2020: 3593-3602 - [c76]Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang:
Deep Learning-Based Image Compression with Trellis Coded Quantization. DCC 2020: 13-22 - [c75]Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang:
Few-Shot Scene-Adaptive Anomaly Detection. ECCV (5) 2020: 125-141 - [c74]Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang:
Adaptive Video Highlight Detection by Learning from User History. ECCV (21) 2020: 261-278 - [c73]Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling:
Cross-Modal Weighting Network for RGB-D Salient Object Detection. ECCV (17) 2020: 665-681 - [c72]Qihan Jiao, Zhi Liu, Gongyang Li, Linwei Ye, Yang Wang:
Fine-Grained Image Classification with Coarse and Fine Labels on One-Shot Learning. ICME Workshops 2020: 1-6 - [c71]Seyed Shahabeddin Nabavi, Mehrdad Hosseinzadeh, Ramin Fahimi, Yang Wang:
Unsupervised Learning of Camera Pose with Compositional Re-estimation. WACV 2020: 11-20 - [c70]Mahesh Kumar Krishna Reddy, Mohammad Asiful Hossain, Mrigank Rochan, Yang Wang:
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning. WACV 2020: 2803-2812 - [i20]Seyed Shahabeddin Nabavi, Mehrdad Hosseinzadeh, Ramin Fahimi, Yang Wang:
Unsupervised Learning of Camera Pose with Compositional Re-estimation. CoRR abs/2001.06479 (2020) - [i19]Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang:
Deep Learning-based Image Compression with Trellis Coded Quantization. CoRR abs/2001.09417 (2020) - [i18]Linwei Ye, Zhi Liu, Yang Wang:
Dual Convolutional LSTM Network for Referring Image Segmentation. CoRR abs/2001.11561 (2020) - [i17]Mahesh Kumar Krishna Reddy, Mohammad Asiful Hossain, Mrigank Rochan, Yang Wang:
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning. CoRR abs/2002.00264 (2020) - [i16]Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling:
Cross-Modal Weighting Network for RGB-D Salient Object Detection. CoRR abs/2007.04901 (2020) - [i15]Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang:
Few-shot Scene-adaptive Anomaly Detection. CoRR abs/2007.07843 (2020) - [i14]Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang:
Adaptive Video Highlight Detection by Learning from User History. CoRR abs/2007.09598 (2020) - [i13]Mrigank Rochan, Mahesh Kumar Krishna Reddy, Yang Wang:
Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation. CoRR abs/2008.13362 (2020) - [i12]Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu, Yang Wang:
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting. CoRR abs/2010.12141 (2020)
2010 – 2019
- 2019
- [j9]Mengke Huang, Zhi Liu, Linwei Ye, Xiaofei Zhou, Yang Wang:
Saliency detection via multi-level integration and multi-scale fusion neural networks. Neurocomputing 364: 310-321 (2019) - [j8]Qihan Jiao, Zhi Liu, Linwei Ye, Yang Wang:
Weakly labeled fine-grained classification with hierarchy relationship of fine and coarse labels. J. Vis. Commun. Image Represent. 63 (2019) - [c69]Yiwei Lu, K. Mahesh Kumar, Seyed Shahabeddin Nabavi, Yang Wang:
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection. AVSS 2019: 1-8 - [c68]Tanzila Rahman, Mrigank Rochan, Yang Wang:
Video-Based Person Re-Identification using Refined Attention Networks. AVSS 2019: 1-8 - [c67]Shivansh Rao, Peng Cao, Tanzila Rahman, Mrigank Rochan, Yang Wang:
Non-Local Attentive Temporal Network for Video-Based Person Re-Identification. AVSS 2019: 1-8 - [c66]Mohammad Asiful Hossain, Mahesh Kumar K., Mehrdad Hosseinzadeh, Omit Chanda, Yang Wang:
One-Shot Scene-Specific Crowd Counting. BMVC 2019: 217 - [c65]Mrigank Rochan, Yang Wang:
Video Summarization by Learning From Unpaired Data. CVPR 2019: 7902-7911 - [c64]Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang:
Cross-Modal Self-Attention Network for Referring Image Segmentation. CVPR 2019: 10502-10511 - [c63]Yiwei Lu, Mahesh Kumar K., Noman Mohammed, Yang Wang:
Homoglyph attack detection with unpaired data. SEC 2019: 377-382 - [c62]Binglin Li, Jie Liang, Yang Wang:
Compression Artifact Removal with Stacked Multi-Context Channel-Wise Attention Network. ICIP 2019: 3601-3605 - [c61]Tanzila Rahman, Mrigank Rochan, Yang Wang:
Convolutional Temporal Attention Model for Video-Based Person Re-Identification. ICME 2019: 1102-1107 - [c60]Ang Li, Yiwei Lu, Yang Wang:
Semantic Segmentation in Compressed Videos. MMSP 2019: 1-5 - [c59]Mohammad Asiful Hossain, Mehrdad Hosseinzadeh, Omit Chanda, Yang Wang:
Crowd Counting Using Scale-Aware Attention Networks. WACV 2019: 1280-1288 - [i11]Mohammad Asiful Hossain, Mehrdad Hosseinzadeh, Omit Chanda, Yang Wang:
Crowd Counting Using Scale-Aware Attention Networks. CoRR abs/1903.02025 (2019) - [i10]Tanzila Rahman, Mrigank Rochan, Yang Wang:
Convolutional Temporal Attention Model for Video-based Person Re-identification. CoRR abs/1904.04492 (2019) - [i9]Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang:
Cross-Modal Self-Attention Network for Referring Image Segmentation. CoRR abs/1904.04745 (2019) - [i8]Yiwei Lu, Mahesh Kumar K., Seyed Shahabeddin Nabavi, Yang Wang:
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection. CoRR abs/1909.02168 (2019) - 2018
- [c58]Seyed Shahabeddin Nabavi, Mrigank Rochan, Yang Wang:
Future Semantic Segmentation with Convolutional LSTM. BMVC 2018: 137 - [c57]Mrigank Rochan, Linwei Ye, Yang Wang:
Video Summarization Using Fully Convolutional Sequence Networks. ECCV (12) 2018: 358-374 - [c56]Binglin Li, Yang Wang:
Visual Relationship Detection Using Joint Visual-Semantic Embedding. ICPR 2018: 3291-3296 - [c55]Linwei Ye, Binglin Li, Noman Mohammed, Yang Wang, Jie Liang:
Privacy-Preserving Age Estimation for Content Rating. MMSP 2018: 1-6 - [c54]Mahmoud Kalash, Mrigank Rochan, Noman Mohammed, Neil D. B. Bruce, Yang Wang, Farkhund Iqbal:
Malware Classification with Deep Convolutional Neural Networks. NTMS 2018: 1-5 - [c53]Mohammad Asiful Hossain, Rezaul Karim, Ruppa K. Thulasiram, Neil D. B. Bruce, Yang Wang:
Hybrid Deep Learning Model for Stock Price Prediction. SSCI 2018: 1837-1844 - [c52]Linwei Ye, Zhi Liu, Yang Wang:
Learning Semantic Segmentation with Diverse Supervision. WACV 2018: 1461-1469 - [i7]Linwei Ye, Zhi Liu, Yang Wang:
Learning Semantic Segmentation with Diverse Supervision. CoRR abs/1802.00509 (2018) - [i6]Mrigank Rochan, Linwei Ye, Yang Wang:
Video Summarization Using Fully Convolutional Sequence Networks. CoRR abs/1805.10538 (2018) - [i5]Mrigank Rochan, Yang Wang:
Learning Video Summarization Using Unpaired Data. CoRR abs/1805.12174 (2018) - [i4]Md. Amirul Islam, Mrigank Rochan, Shujon Naha, Neil D. B. Bruce, Yang Wang:
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling. CoRR abs/1806.11266 (2018) - [i3]Seyed Shahabeddin Nabavi, Mrigank Rochan, Yang Wang:
Future Semantic Segmentation with Convolutional LSTM. CoRR abs/1807.07946 (2018) - [i2]Shivansh Rao, Tanzila Rahman, Mrigank Rochan, Yang Wang:
Video-based Person Re-identification Using Spatial-Temporal Attention Networks. CoRR abs/1810.11261 (2018) - 2017
- [j7]Linwei Ye, Zhi Liu, Lina Li, Liquan Shen, Cong Bai, Yang Wang:
Salient Object Segmentation via Effective Integration of Saliency and Objectness. IEEE Trans. Multim. 19(8): 1742-1756 (2017) - [c51]Omit Chanda, Eu Wern Teh, Mrigank Rochan, Zhenyu Guo, Yang Wang:
Adapting Object Detectors from Images to Weakly Labeled Videos. BMVC 2017 - [c50]Md. Amirul Islam, Mahmoud Kalash, Mrigank Rochan, Neil D. B. Bruce, Yang Wang:
Salient Object Detection using a Context-Aware Refinement Network. BMVC 2017 - [c49]Tanzila Rahman, Mrigank Rochan, Yang Wang:
Person Re-Identification by Localizing Discriminative Regions. BMVC 2017 - [c48]Jie Lei, Zhenyu Guo, Yang Wang:
Weakly Supervised Image Classification with Coarse and Fine Labels. CRV 2017: 240-247 - [c47]Md. Amirul Islam, Mrigank Rochan, Neil D. B. Bruce, Yang Wang:
Gated Feedback Refinement Network for Dense Image Labeling. CVPR 2017: 4877-4885 - [c46]Linwei Ye, Zhi Liu, Yang Wang:
Depth-aware object instance segmentation. ICIP 2017: 325-329 - [c45]Eu Wern Teh, Zhenyu Guo, Yang Wang:
Object localization in weakly labeled data using regularized attention networks. VCIP 2017: 1-4 - [p2]Yang Wang, Duan Tran, Zicheng Liao, David A. Forsyth:
Discriminative Hierarchical Part-Based Models for Human Parsing and Action Recognition. Gesture Recognition 2017: 273-301 - [i1]Md. Amirul Islam, Shujon Naha, Mrigank Rochan, Neil D. B. Bruce, Yang Wang:
Label Refinement Network for Coarse-to-Fine Semantic Segmentation. CoRR abs/1703.00551 (2017) - 2016
- [j6]Mrigank Rochan, Shafin Rahman, Neil D. B. Bruce, Yang Wang:
Weakly supervised object localization and segmentation in videos. Image Vis. Comput. 56: 1-12 (2016) - [c44]Eu Wern Teh, Mrigank Rochan, Yang Wang:
Attention Networks for Weakly Supervised Object Localization. BMVC 2016 - [c43]Geng Yan, Yang Wang, Zicheng Liao:
LSTM for Image Annotation with Relative Visual Importance. BMVC 2016 - [c42]Md. Atiqur Rahman, Yang Wang:
Learning Neural Networks with Ranking-Based Losses for Action Retrieval. CRV 2016: 1-7 - [c41]Md. Amirul Islam, Neil D. B. Bruce, Yang Wang:
Dense Image Labeling Using Deep Convolutional Neural Networks. CRV 2016: 16-23 - [c40]Shujon Naha, Yang Wang:
Beyond verbs: Understanding actions in videos with text. ICPR 2016: 1833-1838 - [c39]Shujon Naha, Yang Wang:
Object figure-ground segmentation using zero-shot learning. ICPR 2016: 2842-2847 - [c38]Md. Atiqur Rahman, Yang Wang:
Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation. ISVC (1) 2016: 234-244 - [p1]Li-Jia Li, Rahul Kumar Jha, Bart Thomee, David Ayman Shamma, Liangliang Cao, Yang Wang:
Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos. Large-Scale Visual Geo-Localization 2016: 41-58 - 2015
- [c37]Shujon Naha, Yang Wang:
Zero-Shot Object Recognition Using Semantic Label Vectors. CRV 2015: 94-100 - [c36]Mrigank Rochan, Yang Wang:
Latent SVM for Object Localization in Weakly Labeled Videos. CRV 2015: 200-207 - [c35]Mrigank Rochan, Yang Wang:
Weakly supervised localization of novel objects using appearance transfer. CVPR 2015: 4315-4324 - 2014
- [c34]Mrigank Rochan, Shafin Rahman, Neil D. B. Bruce, Yang Wang:
Segmenting Objects in Weakly Labeled Videos. CRV 2014: 119-126 - [c33]Shafin Rahman, Mrigank Rochan, Yang Wang, Neil D. B. Bruce:
Examining visual saliency prediction in naturalistic scenes. ICIP 2014: 4082-4086 - [c32]Duan Tran, Yang Wang, David A. Forsyth:
Human parsing with a cascade of hierarchical poselet based pruners. ICME 2014: 1-6 - [c31]Carson Kai-Sang Leung, Richard Kyle MacKinnon, Yang Wang:
A machine learning approach for stock price prediction. IDEAS 2014: 274-277 - [c30]Mrigank Rochan, Yang Wang:
Efficient Object Localization and Segmentation in Weakly Labeled Videos. ISVC (1) 2014: 172-181 - [c29]Somayah Albaradei, Yang Wang:
Object Classification Using a Semantic Hierarchy. ISVC (1) 2014: 228-237 - [c28]Somayah Albaradei, Yang Wang, Liangliang Cao, Li-Jia Li:
Learning mid-level features from object hierarchy for image classification. WACV 2014: 235-240 - 2013
- [j5]Mani Ranjbar, Tian Lan, Yang Wang, Stephen N. Robinovitch, Ze-Nian Li, Greg Mori:
Optimizing Nondecomposable Loss Functions in Structured Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 911-924 (2013) - [c27]Zicheng Liao, Jason Rock, Yang Wang, David A. Forsyth:
Non-parametric Filtering for Geometric Detail Extraction and Material Representation. CVPR 2013: 963-970 - [c26]Yang Wang, David A. Forsyth:
Large multi-class image categorization with ensembles of label trees. ICME 2013: 1-6 - [c25]Yang Wang, Liangliang Cao:
Discovering Latent Clusters from Geotagged Beach Images. MMM (2) 2013: 133-142 - 2012
- [j4]Yang Wang, Duan Tran, Zicheng Liao, David A. Forsyth:
Discriminative hierarchical part-based models for human parsing and action recognition. J. Mach. Learn. Res. 13: 3075-3102 (2012) - [j3]Tian Lan, Yang Wang, Weilong Yang, Stephen N. Robinovitch, Greg Mori:
Discriminative Latent Models for Recognizing Contextual Group Activities. IEEE Trans. Pattern Anal. Mach. Intell. 34(8): 1549-1562 (2012) - [c24]Zicheng Liao, Ali Farhadi, Yang Wang, Ian Endres, David A. Forsyth:
Building a dictionary of image fragments. CVPR 2012: 3442-3449 - [c23]Tian Lan, Weilong Yang, Yang Wang, Greg Mori:
Image Retrieval with Structured Object Queries Using Latent Ranking SVM. ECCV (6) 2012: 129-142 - [c22]Weilong Yang, Yang Wang, Arash Vahdat, Greg Mori:
Kernel Latent SVM for Visual Recognition. NIPS 2012: 818-826 - 2011
- [j2]Yang Wang, Greg Mori:
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin. IEEE Trans. Pattern Anal. Mach. Intell. 33(7): 1310-1323 (2011) - [c21]Yang Wang, Greg Mori:
Max-margin Latent Dirichlet Allocation for Image Classification and Annotation. BMVC 2011: 1-11 - [c20]Zhi Feng Huang, Weilong Yang, Yang Wang, Greg Mori:
Latent Boosting for Action Recognition. BMVC 2011: 1-11 - [c19]Yang Wang, Duan Tran, Zicheng Liao:
Learning hierarchical poselets for human parsing. CVPR 2011: 1705-1712 - [c18]Tian Lan, Yang Wang, Greg Mori:
Discriminative figure-centric models for joint action localization and recognition. ICCV 2011: 2003-2010 - 2010
- [c17]Weilong Yang, Yang Wang, Greg Mori:
Recognizing human actions from still images with latent poses. CVPR 2010: 2030-2037 - [c16]Yang Wang, Greg Mori:
A Discriminative Latent Model of Object Classes and Attributes. ECCV (5) 2010: 155-168 - [c15]Tian Lan, Yang Wang, Greg Mori, Stephen N. Robinovitch:
Retrieving Actions in Group Contexts. ECCV Workshops (1) 2010: 181-194 - [c14]Mani Ranjbar, Greg Mori, Yang Wang:
Optimizing Complex Loss Functions in Structured Prediction. ECCV (2) 2010: 580-593 - [c13]Tian Lan, Yang Wang, Weilong Yang, Greg Mori:
Beyond Actions: Discriminative Models for Contextual Group Activities. NIPS 2010: 1216-1224 - [c12]Yang Wang, Greg Mori:
A Discriminative Latent Model of Image Region and Object Tag Correspondence. NIPS 2010: 2397-2405
2000 – 2009
- 2009
- [j1]Yang Wang, Greg Mori:
Human Action Recognition by Semilatent Topic Models. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1762-1774 (2009) - [c11]Weilong Yang, Yang Wang, Greg Mori:
Efficient Human Action Detection Using a Transferable Distance Function. ACCV (2) 2009: 417-426 - [c10]Yang Wang, Greg Mori:
Max-margin hidden conditional random fields for human action recognition. CVPR 2009: 872-879 - [c9]Weilong Yang, Yang Wang, Greg Mori:
Human action recognition from a single clip per action. ICCV Workshops 2009: 482-489 - [c8]Yang Wang, Gholamreza Haffari, Shaojun Wang, Greg Mori:
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields. NIPS 2009: 2008-2016 - 2008
- [c7]Yang Wang, Greg Mori:
Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation. ECCV (3) 2008: 710-724 - [c6]Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori, Feng Jiao:
Boosting with incomplete information. ICML 2008: 368-375 - [c5]Yang Wang, Greg Mori:
Learning a discriminative hidden part model for human action recognition. NIPS 2008: 1721-1728 - 2007
- [c4]Yang Wang, Greg Mori:
Boosted Multiple Deformable Trees for Parsing Human Poses. Workshop on Human Motion 2007: 16-27 - [c3]Yang Wang, Payam Sabzmeydani, Greg Mori:
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition. Workshop on Human Motion 2007: 240-254 - 2006
- [c2]Yang Wang, Hao Jiang, Mark S. Drew, Ze-Nian Li, Greg Mori:
Unsupervised Discovery of Action Classes. CVPR (2) 2006: 1654-1661 - 2005
- [c1]Nando de Freitas, Yang Wang, Maryam Mahdaviani, Dustin Lang:
Fast Krylov Methods for N-Body Learning. NIPS 2005: 251-258
Coauthor Index
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