Wei Tang

EVL Affiliated Faculty
Assistant Professor, Computer Science
Computer Science
tangw@uic.edu

Bibliography

Shi, H., Wang, L., Zhou, S., Hua, G., Tang, W., Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection, European Conference on Computer Vision (ECCV’24), Milan, Italy, September 29, 2024

Jia, D., Ruan, X., Xia, K., Zou, Z., Wang, L., Tang, W., Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction, European Conference on Computer Vision (ECCV’24), Milan, Italy, September 29, 2024

Ruan, X., Tang, W., Fully Test-time Adaptation for Object Detection, International Journal of Computer Vision (2024): 1-17, pp. 1038-1047, June 18, 2024

Liu, M., Zhang, J., Tang, W., Imbalance-Aware Discriminative Clustering for Unsupervised Semantic Segmentation, International Journal of Computer Vision, Springer, May 14, 2024

Tang, W., Ren, Z., Wang, J., Guest editorial: special issue on human pose estimation and its applications, Machine Vision and Applications, vol 34, no 6, Springer, October 13, 2023

Xia, K., Wang, L., Zhou, S., Hua, G., Tang, W., Learning from noisy pseudo labels for semi-supervised temporal action localization, In Proceedings of the IEEE/CVF International Conference on Computer Vision, Paris, France, pp. 10160-10169, October 2, 2023

Shi, H., Wang, L., Zhou, S., Hua, G., Tang, W., Abnormal Ratios Guided Multi-Phase Self-Training for Weakly-Supervised Video Anomaly Detection, IEEE Transactions on Multimedia, vol 26, January 1, 2023

Shen, C., Wang, P., Tang, W., Exploiting appearance transfer and multi-scale context for efficient person image generation, Pattern Recognition, vol 124, Elsevier, April 1, 2022

Zou, Z., Tang, W., Modulated Graph Convolutional Network for 3D Human Pose Estimation, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2021, pp. 11477-11487, October 11, 2021

Liu, M., Schonfeld, D., Tang, W., Exploit Visual Dependency Relations for Semantic Segmentation, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9726-9735, June 19, 2021

Liu, K., Zou, Z., Tang, W., Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation, In Proceedings of the Asian Conference on Computer Vision (ACCV) 2020, Virtual Kyoto, November 30, 2020

Zou, Z., Liu, K., Wang, L., Tang, W., High-order Graph Convolutional Networks for 3D Human Pose Estimation, British Machine Vision Conference (BMVC’20), Manchester, UK, September 7, 2020

Liu, K., Ding, R., Zou, Z., Wang, L., Tang, W., A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation, European Conference on Computer Vision (ECCV’20), Glasgow, Scotland, UK, August 23, 2020