| Visual commonsense r-cnn T Wang, J Huang, H Zhang, Q Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 225 | 2020 |
| Cross-modal attention with semantic consistence for image-text matching X Xu*, T Wang*, Y Yang, L Zuo, F Shen, HT Shen (*equal contribution) IEEE Transactions on Neural Networks and Learning Systems, 2020 | 174 | 2020 |
| Counterfactual Zero-Shot and Open-Set Visual Recognition Z Yue*, T Wang*, H Zhang, Q Sun, XS Hua (*equal contribution) Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 154 | 2021 |
| Matching images and text with multi-modal tensor fusion and re-ranking T Wang, X Xu, Y Yang, A Hanjalic, HT Shen, J Song Proceedings of the 27th ACM international conference on multimedia, 12-20, 2019 | 113 | 2019 |
| Class re-activation maps for weakly-supervised semantic segmentation Z Chen, T Wang, X Wu, XS Hua, H Zhang, Q Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 74 | 2022 |
| Devlbert: Learning deconfounded visio-linguistic representations S Zhang, T Jiang, T Wang, K Kuang, Z Zhao, J Zhu, J Yu, H Yang, F Wu Proceedings of the 28th ACM International Conference on Multimedia, 4373-4382, 2020 | 72 | 2020 |
| Causal attention for unbiased visual recognition T Wang, C Zhou, Q Sun, H Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 61 | 2021 |
| Radial Graph Convolutional Network for Visual Question Generation X Xu*, T Wang*, Y Yang, A Hanjalic, HT Shen (*equal contribution) IEEE Transactions on Neural Networks and Learning Systems, 2020 | 53 | 2020 |
| Self-supervised learning disentangled group representation as feature T Wang, Z Yue, J Huang, Q Sun, H Zhang Advances in Neural Information Processing Systems 34, 18225-18240, 2021 | 44 | 2021 |
| Visual commonsense representation learning via causal inference T Wang, J Huang, H Zhang, Q Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 25 | 2020 |
| Equivariance and invariance inductive bias for learning from insufficient data T Wang, Q Sun, S Pranata, K Jayashree, H Zhang European Conference on Computer Vision, 241-258, 2022 | 10 | 2022 |
| Disco: Disentangled control for referring human dance generation in real world T Wang, L Li, K Lin, CC Lin, Z Yang, H Zhang, Z Liu, L Wang arXiv preprint arXiv:2307.00040, 2023 | 7 | 2023 |
| Equivariant Similarity for Vision-Language Foundation Models T Wang, K Lin, L Li, CC Lin, Z Yang, H Zhang, Z Liu, L Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Nico challenge: Out-of-distribution generalization for image recognition challenges X Zhang, Y He, T Wang, J Qi, H Yu, Z Wang, J Peng, R Xu, Z Shen, Y Niu, ... European Conference on Computer Vision, 433-450, 2022 | 5 | 2022 |
| Devlbert: Out-of-distribution visio-linguistic pretraining with causality S Zhang, T Jiang, T Wang, K Kuang, Z Zhao, J Zhu, J Yu, H Yang, F Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 4 | 2021 |
| Free Lunch for Co-Saliency Detection: Context Adjustment L Kong, P Ganesh, T Wang, J Liu, L Zhang, Y Chen arXiv preprint arXiv:2108.02093, 2021 | 2 | 2021 |
| Explaining Language Models' Predictions with High-Impact Concepts R Zhao, S Joty, Y Wang, T Wang arXiv preprint arXiv:2305.02160, 2023 | 1 | 2023 |
| Counterfactual QA: Eliminating Bias in Question Answering B Zhu, T Wang, L Kong | 1 | |
Hanwang Zhang (张含望）Associate Professor, SCSE, Nanyang Technological UniversityVerified email at ntu.edu.sg
