Transreid: Transformer-based object re-identification S He, H Luo, P Wang, F Wang, H Li, W Jiang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 757 | 2021 |
Softtriple loss: Deep metric learning without triplet sampling Q Qian, L Shang, B Sun, J Hu, H Li, R Jin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 403 | 2019 |
Extremely low bit neural network: Squeeze the last bit out with admm C Leng, Z Dou, H Li, S Zhu, R Jin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 363 | 2018 |
Cdtrans: Cross-domain transformer for unsupervised domain adaptation T Xu, W Chen, P Wang, F Wang, H Li, R Jin arXiv preprint arXiv:2109.06165, 2021 | 200 | 2021 |
Dash: Semi-supervised learning with dynamic thresholding Y Xu, L Shang, J Ye, Q Qian, YF Li, B Sun, H Li, R Jin International Conference on Machine Learning, 11525-11536, 2021 | 183 | 2021 |
Instant-teaching: An end-to-end semi-supervised object detection framework Q Zhou, C Yu, Z Wang, Q Qian, H Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 182 | 2021 |
Deep ctr prediction in display advertising J Chen, B Sun, H Li, H Lu, XS Hua Proceedings of the 24th ACM international conference on Multimedia, 811-820, 2016 | 160 | 2016 |
Learning deep semantic segmentation network under multiple weakly-supervised constraints for cross-domain remote sensing image semantic segmentation Y Li, T Shi, Y Zhang, W Chen, Z Wang, H Li ISPRS Journal of Photogrammetry and Remote Sensing 175, 20-33, 2021 | 140 | 2021 |
Zen-nas: A zero-shot nas for high-performance image recognition M Lin, P Wang, Z Sun, H Chen, X Sun, Q Qian, H Li, R Jin Proceedings of the IEEE/CVF International Conference on Computer Vision, 347-356, 2021 | 125 | 2021 |
Epro-pnp: Generalized end-to-end probabilistic perspective-n-points for monocular object pose estimation H Chen, P Wang, F Wang, W Tian, L Xiong, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 105 | 2022 |
Dr loss: Improving object detection by distributional ranking Q Qian, L Chen, H Li, R Jin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 93 | 2020 |
A simple baseline for semi-supervised semantic segmentation with strong data augmentation J Yuan, Y Liu, C Shen, Z Wang, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 91 | 2021 |
Transzero: Attribute-guided transformer for zero-shot learning S Chen, Z Hong, Y Liu, GS Xie, B Sun, H Li, Q Peng, K Lu, X You Proceedings of the AAAI conference on artificial intelligence 36 (1), 330-338, 2022 | 90 | 2022 |
KVT: k-NN Attention for Boosting Vision Transformers P Wang, X Wang, F Wang, M Lin, S Chang, H Li, R Jin European conference on computer vision, 285-302, 2022 | 81 | 2022 |
Multi-domain learning and identity mining for vehicle re-identification S He, H Luo, W Chen, M Zhang, Y Zhang, F Wang, H Li, W Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 81 | 2020 |
Hsva: Hierarchical semantic-visual adaptation for zero-shot learning S Chen, G Xie, Y Liu, Q Peng, B Sun, H Li, X You, L Shao Advances in Neural Information Processing Systems 34, 16622-16634, 2021 | 77 | 2021 |
Robust optimization over multiple domains Q Qian, S Zhu, J Tang, R Jin, B Sun, H Li Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4739-4746, 2019 | 69 | 2019 |
Giraffedet: A heavy-neck paradigm for object detection Y Jiang, Z Tan, J Wang, X Sun, M Lin, H Li arXiv preprint arXiv:2202.04256, 2022 | 63 | 2022 |
Learning to rank proposals for object detection Z Tan, X Nie, Q Qian, N Li, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 59 | 2019 |
Digging into uncertainty in self-supervised multi-view stereo H Xu, Z Zhou, Y Wang, W Kang, B Sun, H Li, Y Qiao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 55 | 2021 |