Selected Publications


期刊论文

  • L. Shi, Y. Zhang, J. Cheng and H. Lu, “Action recognition via pose-based graph convolutional networks with intermediate dense supervision,” Pattern Recognition (PR), Vol. 121, Col. 108170, 2022.
  • K. Cheng, Y. Zhang, X. He, J. Cheng and H. Lu, "Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN++," IEEE Transactions on Image Processing (T-IP) Vol. 30, pp. 7333-7348, 2021.
  • Y. Zhang, L. Shi, Y. Wu, K. Cheng, J. Cheng and H. Lu, “Gesture Recognition Based on Deep Deformable 3D Convolutional Neural Networks,” Pattern Recognition (PR), Vol. 107, 2020.
  • L. Shi, Y. Zhang, J. Cheng and H. Lu, "Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks," IEEE Transactions on Image Processing (T-IP) Vol. 29, pp. 9532-9545, 2020.
  • C. Cao, C. Lan, Y. Zhang, W. Zeng, H. Lu and Y. Zhang, "Skeleton-Based Action Recognition With Gated Convolutional Neural Networks," IEEE Transactions on Circuits Systems and Video Technology (T-CSVT), Vol. 29, No. 11, pp. 3247-3257, 2019.
  • Y. Zhang, C. Cao, J. Cheng and H. Lu, "EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition," IEEE Transactions on Multimedia (T-MM), Vol. 20, No. 5, pp. 1038-1050, 2018. [PDF] [Dataset]
  • C. Cao, Y. Zhang, C. Zhang and H. Lu, "Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition," IEEE Transactions on Cybernetics(T-CYB), Vol. 48, No. 3, pp. 1095-1108, 2018.
  • Y. Zhang,Z. Tang, B. Wu, Q. Ji, and H. Lu, “A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos,” IEEE Transactions on Image Processing (T-IP), Vol. 25, No. 12, pp. 5780-5792, 2016.
  • Y. Zhang, Y. Zhang, E. Swears, N. Lario, Z. Wang and Q. Ji, “Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 35, No. 10, pp. 2468-2483, Oct. 2013. [Code]
  • Y. Zhang, C. Xu, H. Lu and Y. Huang, “Character Identification in Feature-length Films Using Global Face-Name Matching,” IEEE Transactions on Multimedia (T-MM), Vol. 11, No. 7, pp. 1276-1288, 2009. [Dataset]
  • C. Xu, Y. Zhang, G. Zhu, Y. Rui, H. Lu and Q. Huang, “Using Web-cast Text for Semantic Event Detection in Broadcast Sports Video,” IEEE Transactions on Multimedia (T-MM), Vol. 10, No. 7, pp. 1342-1355, Nov. 2008.
  • 会议论文

  • L. Sun, Y. Zhang, K. Cheng, J. Cheng and H. Lu, "MENet: a Memory-Based Network with Dual-Branch for Efficient Event Stream Processing," in Proceedings of European Conference on Computer Vision (ECCV), 2022.
  • L. Shi, Y. Zhang, J. Cheng and H. Lu, "AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition," in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2021.
  • K. Cheng, Y. Zhang, X. He, W. Chen, J. Cheng and H. Lu, "Skeleton-Based Action Recognition with Shift Graph Convolutional Network," in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, US, 2020. (Oral)
  • K. Cheng, Y. Zhang, C. Cao, L. Shi, J. Cheng and H. Lu, “Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition,” in Proceedings of European Conference on Computer Vision (ECCV), 2020.
  • L. Shi, Y. Zhang, J. Cheng and H. Lu, "Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition," in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long beach, US, 2019.
  • L. Shi, Y. Zhang, J. Cheng and H. Lu, "Skeleton-Based Action Recognition with Directed Graph Neural Networks," in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long beach, US, 2019.
  • Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng: Two-Step Quantization for Low-Bit Neural Networks. CVPR 2018: 4376-4384
  • Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng: Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) 2018: 657-673
  • Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng: Fast K-means for Large Scale Clustering. CIKM 2017: 2099-2102
  • C. Cao, Y. Zhang, Y. Wu, H. Lu and J. Cheng, “Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks with Spatiotemporal Transformer Modules", In Proceedings of IEEE International Conference On Computer Vision (ICCV), Venice, Italy, 2017.
  • C. Cao, Y. Zhang, C. Zhang and H. Lu, “Action Recognition with Joints-Pooled 3D Deep Convolutional Descriptors”, In Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI), 2016.
  • Z. Tang, Y. Zhang, Z. Li and H. Lu, “Face clustering in videos with proportion prior”, In Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015 (Oral).
  • C. Cao, Y. Zhang and H. Lu,“Multi-modal learning for gesture recognition”, In Proceedings of IEEE International Conference on Multimedia and Expo (ICME), Torino, Italy, 2015.
  • C. Cao, Y. Zhang and H. Lu “Spatio-Temporal Triangular-Chain CRF for Activity Recognition”, In Proceedings of ACM Multimedia 2015: 1151-1154.
  • Z. Tang, Y. Zhang, S. Qiu and H. Lu, “Video Face Naming Using Global Sequence Alignment,” In proceedings of IEEE International conference on Image Processing (ICIP), Paris, France, 2014.
  • Y. Zhang, Q. Ji and H. Lu, “Event Detection in Complex Scene Using Interval Temporal Constraints,” In Proceedings of IEEE International Conference On Computer Vision (ICCV), pp. 3184-3191, Sydney, Australia, 2013.
  • B. Wu, Y. Zhang, B. Hu and Q. Ji, “Constrained Clustering and Its Application to Face Clustering In Videos," in Proceedings of IEEE International Conference On Computer Vision and Pattern Recognition (CVPR), Portland, US, 2013.