Wei Wang    王威 (In Chinese)
Ph.D.
Associate Professor
Center for Research on Intelligent Perception and Computing
National Laboratory of Pattern Recognition

Institute of Automation Chinese Academy of Sciences
Email: wangwei@nlpr.ia.ac.cn

Education:
2001.9-2005.7  BS. Department of Automation, Wuhan University
2005.9-2011.7  Ph.D. University of the Chinese Academy of Sciencess


Research Interests:
Visual Cognitive Computing, Attention & Memory Modelling, Vision-Language Understanding, Structural & Relational Learning


News:
One paper accepted by CVPR 2020
One oral paper accepted by AAAI 2020
One paper accepted by TIP
One paper accepted by PR


Recent Talks:
Computational Cognitive Modelling for Computer Vision. Changchun Institute of Optics, Fine Mechanics and Physics, 2019.10
Computational Cognitive Modelling for Computer Vision. Nanjing University of Posts and Telecommunications, 2019.7


Selected Publications: (Google Scholar)
Ya Jing, Wei Wang, Liang Wang, Tieniu Tan. Cross-Modal Cross-Domain Moment Alignment Network for Person Search. IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2020.
Ya Jing, Chenyang Si, Wei Wang, Liang Wang, Tieniu Tan. Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search. AAAI Conference on Artificial Intelligence, AAAI, 2020 (oral).
Jingyu Liu, Wei Wang, Liang Wang, Ming-Hsuan Yang. Attribute-Guided Attention for Referring Expression Generation and Comprehension, TIP, 2020.
Junbo Wang, Wei Wang, Liang Wang, Zhiyong Wang, David Dagan Feng, Tieniu Tan. Learning visual relationship and context-aware attention for image captioning, PR, 2020.
Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan. An Attention Enhanced Graph Convolutional Lstm Network for Skeleton-based Action Recognition. CVPR, 2019.
Kun Yu, Zhiyong Wang, Wei Wang, K. Martens, Liang Wang, Tieniu Tan, S. Lewis, D. Feng. Graph Sequence Recurrent Neural Network for Vision-Based Freezing of Gait Detection, TIP, 2019.
Junbo Wang, Wei Wang, Zhiyong Wang, Liang Wang, David Feng, Tieniu Tan. Stacked Memory Network for Video Summarization. ACM Multimedia. ACM MM, 2019.
Chenyang Si, Wei Wang, Liang Wang, Tieniu Tan. Multistage Adversarial Losses for Pose-based Human Image Synthesis. IEEE Conference on Computer Vision and Pattern Recognition. CVPR, 2018 (spotlight).
Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan. Skeleton-based action recognition with spatial reasoning and temporal stack learning. European Conference on Computer Vision. ECCV, 2018.
Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan. Multimodal Memory Modelling for Video Captioning. IEEE Conference on Computer Vision and Pattern Recognition. CVPR, 2018 (spotlight).
Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan. Hierarchical Memory Modelling for Video Captioning. ACM Multimedia. ACM MM, 2018.
Yan Huang, Qi Wu, Wei Wang, Liang Wang. Image and Sentence Matching via Semantic Concepts and Order Learning. IEEE transactions on pattern analysis and machine intelligence. TPAMI, 2018.
Zhen Zhou, Yan Huang, Wei Wang, Liang Wang, Tieniu Tan. See the forest for the trees: Joint spatial and temporal recurrent neural networks for video-based person re-identification, IEEE Conference on Computer Vision and Pattern Recognition. CVPR, 2017.
Yan Huang, Wei Wang, Liang Wang. Instance-Aware Image and Sentence Matching With Selective Multimodal LSTM. IEEE Conference on Computer Vision and Pattern Recognition. CVPR, 2017.
Yan Huang, Wei Wang, Liang Wang. Video Super-Resolution via Bidirectional Recurrent Convolutional Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. TPAMI, 2017.
Kaiye Wang, Ran He, Liang Wang, Wei Wang, Tieniu Tan. Joint feature selection and subspace learning for cross-modal retrieval. IEEE transactions on pattern analysis and machine intelligence. TPAMI, 2015.
Yan Huang, Wei Wang, Liang Wang. Unconstrained Multimodal Multi-Label Learning. IEEE Transactions on Multimedia. TMM, 2015.
Yan Huang, Wei Wang, Liang Wang. Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution. Advances in Neural Information Processing Systems. NIPS, 2015.
Yan Huang, Wei Wang, Liang Wang. Conditional High-order Boltzmann Machine: A Supervised Learning Model for Relation Learning. IEEE International Conference on Computer Vision. ICCV, 2015.
Yong Du, Wei Wang, Liang Wang. Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition. IEEE Conference on Computer Vision and Pattern Recognition. CVPR, 2015.
Peihao Huang, Yan Huang, Wei Wang, Liang Wang, Tieniu Tan. Deep Embedding Network for Clustering. International Conference on Pattern Recognition. ICPR, 2014 (best student paper).
Wei Wang, Yan Huang, Yizhou Wang, Liang Wang. Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction. IEEE Conference on Computer Vision and Pattern Recognition CVPR Workshop: DeepVision - Deep Learning for Computer Vision. CVPRW, 2014 (oral, best paper).
Kaiye Wang, Ran He, Wei Wang, Liang Wang, Tieniu Tan. Learning Coupled Feature Spaces for Cross-modal Matching. International Conference on Computer Vision. ICCV, 2013.
Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, Yuan Yao. Simulating Human Saccadic Scanpath on Natural Images. IEEE Conference on Computer Vision and Pattern Recognition. CVPR, 2011.
Wei Wang, Yizhou Wang, Qingming Huang, Wen Gao. Measuring Visual Saliency by Site Entropy Rate. IEEE Conference on Computer Vision and Pattern Recognition. CVPR, 2010 (oral).


Awards:
DeepVision-International Workshop on Deep Learning in Computer Vision in CVPR 2014, Best Paper
ICPR 2014, Best Student Paper