Towards stable test-time adaptation in dynamic wild world S Niu, J Wu, Y Zhang, Z Wen, Y Chen, P Zhao, M Tan arXiv preprint arXiv:2302.12400, 2023 | 266 | 2023 |
Debiased visual question answering from feature and sample perspectives Z Wen, G Xu, M Tan, Q Wu, Q Wu Advances in Neural Information Processing Systems 34, 3784-3796, 2021 | 77 | 2021 |
Test-time model adaptation for visual question answering with debiased self-supervisions Z Wen, S Niu, G Li, Q Wu, M Tan, Q Wu IEEE Transactions on Multimedia, 2023 | 18 | 2023 |
Deep transferring quantization Z Xie, Z Wen, J Liu, Z Liu, X Wu, M Tan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 18 | 2020 |
Digging out discrimination information from generated samples for robust visual question answering Z Wen, Y Wang, M Tan, Q Wu, Q Wu Findings of the Association for Computational Linguistics: ACL 2023, 6910-6928, 2023 | 9 | 2023 |
Multi-granularity aggregation transformer for joint video-audio-text representation learning M He, W Du, Z Wen, Q Du, Y Xie, Q Wu IEEE Transactions on Circuits and Systems for Video Technology 33 (6), 2990-3002, 2022 | 9 | 2022 |
Towards effective deep transfer via attentive feature alignment Z Xie, Z Wen, Y Wang, Q Wu, M Tan Neural Networks 138, 98-109, 2021 | 9 | 2021 |
Modular graph attention network for complex visual relational reasoning Y Zheng, Z Wen, M Tan, R Zeng, Q Chen, Y Wang, Q Wu Proceedings of the Asian Conference on Computer Vision, 2020 | 7 | 2020 |
Transformer-based relational inference network for complex visual relational reasoning M Tan, Z Wen, L Fang, Q Wu ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023 | 5 | 2023 |
Towards Long Video Understanding via Fine-detailed Video Story Generation Z You, Z Wen, Y Chen, X Li, R Zeng, Y Wang, M Tan IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
Supplementary Material of “Deep Transferring Quantization” Z Xie, Z Wen, J Liu, Z Liu, X Wu, M Tan | | |