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

News

• 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

Research Interests

Attention & Memory Modelling, Causal Discovery and Planning, Mathematical Cognition, Vision-Language Understanding

Selected Papers (Google Scholar)

• 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

Professional Activities

• 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

Honors and Awards

• 2014.06, CVPR DeepVision Workshop Best Paper Award

• 2014.08, ICPR Best Student Paper Award