Beyond attentive tokens: Incorporating token importance and diversity for efficient vision transformers S Long, Z Zhao, J Pi, S Wang, J Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
Augmentation matters: A simple-yet-effective approach to semi-supervised semantic segmentation Z Zhao, L Yang, S Long, J Pi, L Zhou, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 9 | 2023 |
Instance-specific and model-adaptive supervision for semi-supervised semantic segmentation Z Zhao, S Long, J Pi, J Wang, L Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 8 | 2023 |
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception J Yuan, X Zhang, H Zhou, J Wang, Z Qiu, Z Shao, S Zhang, S Long, ... Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Cross-domain feature enhancement for unsupervised domain adaptation L Sifan, W Shengsheng, Z Xin, F Zihao, W Bilin Applied Intelligence 52 (15), 17326-17340, 2022 | 3 | 2022 |
Causal view mechanism for adversarial domain adaptation Z Fu, S Wang, X Zhao, S Long, B Wang Multimedia Tools and Applications 82 (30), 47347-47366, 2023 | 1 | 2023 |
Sample separation and domain alignment complementary learning mechanism for open set domain adaptation L Sifan, W Shengsheng, Z Xin, F Zihao, W Bilin Applied Intelligence 53 (15), 18790-18805, 2023 | 1 | 2023 |
Training-Free Unsupervised Prompt for Vision-Language Models S Long, L Wang, Z Zhao, Z Tan, Y Wu, S Wang, J Wang arXiv preprint arXiv:2404.16339, 2024 | | 2024 |
Bidirectional feature enhancement transformer for unsupervised domain adaptation Z Hao, S Wang, S Long, Y Li, H Chai The Visual Computer, 1-17, 2023 | | 2023 |
Open set domain adaptive method based on energy separation strategy H Chai, S Wang, S Long, ZW Hao, Y Li | | 2023 |
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models S Long, Z Zhao, J Yuan, Z Tan, J Liu, L Zhou, S Wang, J Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
HagSeg: Hardness-adaptive Guidance for Semi-supervised Semantic Segmentation Z Zhao, T Wu, J Pi, S Long, L Zhou, J Wang | | 2022 |