| Zero-shot recognition using dual visual-semantic mapping paths Y Li, D Wang, H Hu, Y Lin, Y Zhuang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 175 | 2017 |
| Relational knowledge transfer for zero-shot learning D Wang, Y Li, Y Lin, Y Zhuang Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 116 | 2016 |
| Q-net: Query-informed few-shot medical image segmentation Q Shen, Y Li, J Jin, B Liu Proceedings of SAI Intelligent Systems Conference, 610-628, 2023 | 25 | 2023 |
| Context-guided super-class inference for zero-shot detection Y Li, Y Shao, D Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 18 | 2020 |
| Class-incremental few-shot object detection P Li, Y Li, H Cui, D Wang arXiv preprint arXiv:2105.07637, 2021 | 17 | 2021 |
| Zero-shot learning with generative latent prototype model Y Li, D Wang arXiv preprint arXiv:1705.09474, 2017 | 17 | 2017 |
| Dress Like an Internet Celebrity: Fashion Retrieval in Videos H Zhao, J Yu, Y Li, D Wang, J Liu, H Yang, F Wu International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 13 | 2020 |
| Alleviating the sample selection bias in few-shot learning by removing projection to the centroid J Xu, X Luo, X Pan, Y Li, W Pei, Z Xu Advances in neural information processing systems 35, 21073-21086, 2022 | 12 | 2022 |
| The Neglected Tails in Vision-Language Models S Parashar, Z Lin, T Liu, X Dong, Y Li, D Ramanan, J Caverlee, S Kong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 11 | 2024 |
| Inference fusion with associative semantics for unseen object detection Y Li, P Li, H Cui, D Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 1993-2001, 2021 | 8 | 2021 |
| Prompting scientific names for zero-shot species recognition S Parashar, Z Lin, Y Li, S Kong arXiv preprint arXiv:2310.09929, 2023 | 7 | 2023 |
| Joint Learning of Attended Zero-Shot Features and Visual-Semantic Mapping Y Li, D Wang The British Machine Vision Conference, 2019 | 6 | 2019 |
| Zero-shot detection with transferable object proposal mechanism Y Shao, Y Li, D Wang 2019 IEEE International Conference on Image Processing (ICIP), 3666-3670, 2019 | 5 | 2019 |
| Long-tailed 3d detection via 2d late fusion Y Ma, N Peri, S Wei, W Hua, D Ramanan, Y Li, S Kong arXiv preprint arXiv:2312.10986, 2023 | 3 | 2023 |
| Learning robust features with incremental auto-encoders Y Li, D Wang arXiv preprint arXiv:1705.09476, 2017 | 2 | 2017 |
| A High-Resolution Dataset for Instance Detection with Multi-View Object Capture Q Shen, Y Zhao, N Kwon, J Kim, Y Li, S Kong Advances in Neural Information Processing Systems 36, 2023 | 1 | 2023 |
| Dual path structural contrastive embeddings for learning novel objects B Li, EH Cui, Y Li, D Wang, WK Wong arXiv preprint arXiv:2112.12359, 2021 | 1 | 2021 |
| Generating manifold-aligned semantic feature for zero-shot learning J Wang, Y Li, Z Pang, D Wang 2018 25th IEEE International Conference on Image Processing (ICIP), 1613-1617, 2018 | 1 | 2018 |
| Simple and effective visual question answering in a single modality Y Lin, Z Pang, Y Li, D Wang 2016 IEEE International Conference on Image Processing (ICIP), 2276-2280, 2016 | 1 | 2016 |
| Roadside Monocular 3D Detection via 2D Detection Prompting Y Ma, S Wei, C Zhang, W Hua, Y Li, S Kong arXiv preprint arXiv:2404.01064, 2024 | | 2024 |
Donghui WangZhejiang University在 zju.edu.cn 的电子邮件经过验证
