| Contrastive regression for domain adaptation on gaze estimation Y Wang, Y Jiang, J Li, B Ni, W Dai, C Li, H Xiong, T Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 93 | 2022 |
| Towards unsupervised domain generalization for face anti-spoofing Y Liu, Y Chen, M Gou, CT Huang, Y Wang, W Dai, H Xiong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 33 | 2023 |
| Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization Y Liu*, Y Wang*, Y Chen, W Dai, C Li, J Zou, H Xiong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| Efficient hybrid generation framework for aspect-based sentiment analysis H Lv, J Liu, H Wang, Y Wang, J Luo, Y Liu Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 13 | 2023 |
| Progressively Compressed Auto-Encoder for Self-supervised Representation Learning J Li*, Y Wang*, X Zhang, Y Chen, D Jiang, W Dai, C Li, H Xiong, Q Tian The Eleventh International Conference on Learning Representations, 2023 | 13 | 2023 |
| Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition Y Wang, B Shi, X Zhang, J Li, Y Liu, W Dai, C Li, H Xiong, Q Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Multi-dataset pretraining: A unified model for semantic segmentation B Shi, X Zhang, H Xu, W Dai, J Zou, H Xiong, Q Tian arXiv preprint arXiv:2106.04121, 2021 | 11 | 2021 |
| Learning latent architectural distribution in differentiable neural architecture search via variational information maximization Y Wang, Y Liu, W Dai, C Li, J Zou, H Xiong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 11 | 2021 |
| SI-VDNAS: Semi-implicit variational dropout for hierarchical one-shot neural architecture search Y Wang, W Dai, C Li, J Zou, H Xiong Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 10 | 2021 |
| Barleria: An efficient tuning framework for referring image segmentation Y Wang, J Li, X Zhang, B Shi, C Li, W Dai, H Xiong, Q Tian The Twelfth International Conference on Learning Representations, 2024 | 8 | 2024 |
| UMG-clip: a unified multi-granularity vision generalist for open-world understanding B Shi, P Zhao, Z Wang, Y Zhang, Y Wang, J Li, W Dai, J Zou, H Xiong, ... European Conference on Computer Vision, 259-277, 2024 | 6 | 2024 |
| AiluRus: A Scalable ViT Framework for Dense Prediction J Li*, Y Wang*, X Zhang, B Shi, D Jiang, C Li, W Dai, H Xiong, Q Tian arXiv preprint arXiv:2311.01197, 2023 | 5 | 2023 |
| Integrating appearance and spatial-temporal information for multi-camera people tracking W Yang, Z Xie, Y Wang, Y Zhang, X Ma, B Hao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Hybrid distillation: Connecting masked autoencoders with contrastive learners B Shi, X Zhang, Y Wang, J Li, W Dai, J Zou, H Xiong, Q Tian arXiv preprint arXiv:2306.15876, 2023 | 3 | 2023 |
| Violet: Vision-language efficient tuning with collaborative multi-modal gradients Y Wang, Y Liu, X Zhang, J Li, B Shi, C Li, W Dai, H Xiong, Q Tian Proceedings of the 31st ACM International Conference on Multimedia, 4595-4605, 2023 | 2 | 2023 |
| Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck Y Jiang, Y Lin, Y Wang, T Li, B Ke, B Ni arXiv preprint arXiv:2407.00315, 2024 | 1 | 2024 |
| Bootstrap autoencoders with contrastive paradigm for self-supervised gaze estimation Y Wang, J Li, W Dai, B Shi, X Zhang, C Li, H Xiong Forty-first International Conference on Machine Learning, 2024 | | 2024 |
| Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation Z Peng, Z Xu, Z Zeng, Y Wang, L Xie, Q Tian, W Shen arXiv preprint arXiv:2405.18840, 2024 | | 2024 |
Wenrui DaiShanghai Jiao Tong UniversityOverená e-mailová adresa na: sjtu.edu.cn
