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: wang.gucas@gmail.com |
I have moved to BIGAI as a full-time researcher
One paper accepted by TIP
One paper accepted by ECCV 2022
One paper accepted by IJCAI 2021
One paper accepted by ICDAR 2021
One paper accepted by CVPR 2021
One paper accepted by TIP
Two papers accepted by PR
Our first paper on ASD Detection accepted by ICPR2020 Workshop
One paper accepted by ECCV 2020
One paper accepted by CVPR 2020
One oral paper accepted by AAAI 2020
Attention & Memory Modelling, Causal Discovery and Planning, Mathematical Cognition, Vision-Language Understanding
Mengmeng Cui, Wei Wang, Kunbo Zhang, Zhenan Sun, Liang Wang. Pose-Appearance Relational Modeling for Video Action Recognition. TIP, 2022. PDF
Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan. Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations. ECCV, 2022. PDF
Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan. Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images. IJCAI, 2021. PDF
Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan. Locate then Segment: A Strong Pipeline for Referring Image Segmentation. CVPR, 2021. PDF
Ya Jing, Wei Wang, Liang Wang, Tieniu Tan. Learning Aligned Image-Text Representations Using Graph Attentive Relational Network. TIP, 2021. PDF
Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan. Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network. PR, 2020. PDF
Ya Jing, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan. Relational graph neural network for situation recognition. PR, 2020. PDF
Kaijie Zhang, Wei Wang, Yijun Guo, Caifeng Shan, Liang Wang. A Comparative Study on Autism Spectrum Disorder Detection via 3D Convolutional Neural Networks. ICPRW, 2020. PDF
Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng. Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition. ECCV, 2020. PDF
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. PDF
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). PDF
Jingyu Liu, Wei Wang, Liang Wang, Ming-Hsuan Yang. Attribute-Guided Attention for Referring Expression Generation and Comprehension, TIP, 2020. PDF
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. PDF
Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan. An Attention Enhanced Graph Convolutional Lstm Network for Skeleton-based Action Recognition. CVPR, 2019. PDF
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. PDF
Junbo Wang, Wei Wang, Zhiyong Wang, Liang Wang, David Feng, Tieniu Tan. Stacked Memory Network for Video Summarization. ACM Multimedia. ACM MM, 2019. PDF
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). PDF
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. PDF
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). PDF
Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan. Hierarchical Memory Modelling for Video Captioning. ACM Multimedia. ACM MM, 2018. PDF
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. PDF
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. PDF
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. PDF
Yan Huang, Wei Wang, Liang Wang. Video Super-Resolution via Bidirectional Recurrent Convolutional Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. TPAMI, 2017. PDF
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. PDF
Yan Huang, Wei Wang, Liang Wang. Unconstrained Multimodal Multi-Label Learning. IEEE Transactions on Multimedia. TMM, 2015. PDF
Yan Huang, Wei Wang, Liang Wang. Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution. Advances in Neural Information Processing Systems. NIPS, 2015. PDF
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. PDF
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. PDF
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). PDF
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). PDF
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. PDF
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. PDF
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). PDF
Organizer of seminar on "Brain, Cognition and Computing", from 2016 to now
Secretary General, Brain-Like Vision Technical Committee of China Society of Image and Graphics
Reviewer: IEEE TIP, IEEE TMM, CVPR, ICCV, ECCV, NeruIPS, AAAI, etc
2014.06, CVPR DeepVision Workshop Best Paper Award
2014.08, ICPR Best Student Paper Award