Activity Related Publication

Action and Activity Recognition

• Hongji Guo, Hanjing Wang, and Qiang Ji. "Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022.
• Rui Zhao, Kang Wang, Hui Su, and Qiang Ji. "Bayesian graph convolution lstm for skeleton based action recognition." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2019.
• Rui Zhao, Wanru Xu, Hui Su, and Qiang Ji. "Bayesian hierarchical dynamic model for human action recognition." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019.
• Wanru Xu, Zhenjiang Miao, Jian Yu, Qiang Ji. "Action recognition and localization with spatial and temporal contexts." Neurocomputing 333 (2019): 351-363.
• Eran Swears, Anthony Hoogs, Qiang Ji, Kim Boyer. "Complex activity recognition using granger constrained dbn (gcdbn) in sports and surveillance video." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2014.
• Siqi Nie, and Qiang Ji. "Capturing global and local dynamics for human action recognition." 2014 22nd International Conference on Pattern Recognition. IEEE, 2014.
• Yongmian Zhang, Yifan Zhang, Eran Swears, Natalia Larios, Ziheng Wang, Qiang Ji. "Modeling temporal interactions with interval temporal bayesian networks for complex activity recognition." IEEE transactions on pattern analysis and machine intelligence 35.10 (2013): 2468-2483.
• Yifan Zhang, Qiang Ji, and Hanqing Lu, Event Detection in Complex Scene Using Interval Temporal Constraints, , International Conference on Computer Vision (ICCV), 2013.
• Yongmian Zhang, Yifan Zhang, Eran Swears, Natalia Larios, Ziheng Wang, and Qiang Ji, Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 35, No. 10, p2468-2483, 2013.
• Xiaoyang Wang and Qiang Ji, Context Augmented Dynamic Bayesian Networks for Event Recognition, Pattern Recognition Letter, 2013.
• Xiaoyang Wang and Qiang Ji, Incorporating Contextual Knowledge to Dynamic Bayesian Networks for Event Recognition, International Conference on Pattern Recognition, 2012. (Won ICPR Piero Zamperoni Best Student Paper.)
• Xiaoyang Wang and Qiang Ji, A Novel Probabilistic Approach Utilizing Clip Attribute as Hidden Knowledge for Event Recognition, International Conference on Pattern Recognition, 2012.
• Xiaoyang Wang and Qiang Ji, Learning Dynamic Bayesian Network Discriminatively for Human Activity Recognition, International Conference on Pattern Recognition, 2012
• Lei Zhang and Qiang Ji, Probabilistic Image Modeling with an Extended Chain Graph for Human Activity Recognition and Image Segmentation, IEEE Transactions on Image Processing (TIP), pages 2401-2413, VOL. 20, NO. 9, SEPTEMBER 2011.
• Xiaoyang Wang and Qiang Ji, human activity modeling and recognition using graphical models, Emerging Topics in Computer Vision and its Applications, Editor C.H. Chen, World Scientific Publishing, 2011.
• Sangmin Oh, Anthony Hoogs, A.G.Amitha Perera, Chia-Chih Chen, Jong Taek Lee, Jake Aggarwal, Hyungtae Lee, Larry Davis, Xiaoyang Wang, Eran Swears, Qiang Ji, Kishore Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit Roy-Chowdhury, Mita Desai, A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
• Zhi Zeng and Qiang Ji, Knowledge based Activity Recognition with Dynamic Bayesian Network, ECCV 2010.

Action and Activity Detection

• Hongji Guo, Zhou Ren, Yi Wu, Gang Hua, and Qiang Ji. "Uncertainty-Based Spatial-Temporal Attention for Online Action Detection." European Conference on Computer Vision. Springer, Cham, 2022.
• Wanru Xu, Jian Yu, Zhenjiang Miao, Lili Wan, Qiang Ji. "Spatio-temporal deep Q-networks for human activity localization." IEEE Transactions on Circuits and Systems for Video Technology 30.9 (2019): 2984-2999.
• Wanru Xu, Zhenjiang Miao, Jian Yu, Qiang Ji. "Deep reinforcement learning for weak human activity localization." IEEE Transactions on Image Processing 29 (2019): 1522-1535.