| You only look at one sequence: Rethinking transformer in vision through object detection Y Fang, B Liao, X Wang, J Fang, J Qi, R Wu, J Niu, W Liu Advances in Neural Information Processing Systems 34, 26183-26197, 2021 | 182 | 2021 |
| Densely connected search space for more flexible neural architecture search J Fang, Y Sun, Q Zhang, Y Li, W Liu, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 118 | 2020 |
| Hierarchical Aggregation for 3D Instance Segmentation S Chen, J Fang, Q Zhang, W Liu, X Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 105 | 2021 |
| Fast dynamic radiance fields with time-aware neural voxels J Fang, T Yi, X Wang, L Xie, X Zhang, W Liu, M Nießner, Q Tian SIGGRAPH Asia 2022 Conference Papers, 1-9, 2022 | 75 | 2022 |
| Deep multi-instance learning with dynamic pooling Y Yan, X Wang, X Guo, J Fang, W Liu, J Huang Asian Conference on Machine Learning, 662-677, 2018 | 58 | 2018 |
| Msg-transformer: Exchanging local spatial information by manipulating messenger tokens J Fang, L Xie, X Wang, X Zhang, W Liu, Q Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 56 | 2022 |
| Resizemix: Mixing data with preserved object information and true labels J Qin, J Fang, Q Zhang, W Liu, X Wang, X Wang arXiv preprint arXiv:2012.11101, 2020 | 54 | 2020 |
| Temporally efficient vision transformer for video instance segmentation S Yang, X Wang, Y Li, Y Fang, J Fang, W Liu, X Zhao, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 40 | 2022 |
| Fast Neural Network Adaptation via Parameter Remapping and Architecture Search J Fang, Y Sun, K Peng, Q Zhang, Y Li, W Liu, X Wang International Conference on Learning Representation (ICLR), 2020 | 38 | 2020 |
| Efficientpose: Efficient human pose estimation with neural architecture search W Zhang, J Fang, X Wang, W Liu Computational Visual Media, 1-13, 2021 | 37 | 2021 |
| Fna++: Fast network adaptation via parameter remapping and architecture search J Fang, Y Sun, Q Zhang, K Peng, Y Li, W Liu, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 29 | 2020 |
| EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search J Fang, Y Chen, X Zhang, Q Zhang, C Huang, G Meng, W Liu, X Wang Science China Information Sciences 64 (9), 1-13, 2021 | 20 | 2021 |
| Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers Y Tian, L Xie, J Fang, M Shi, J Peng, X Zhang, J Jiao, Q Tian, Q Ye arXiv preprint arXiv:2203.14313, 2022 | 15 | 2022 |
| Segment anything in 3d with nerfs J Cen, Z Zhou, J Fang, W Shen, L Xie, X Zhang, Q Tian arXiv preprint arXiv:2304.12308, 2023 | 14 | 2023 |
| Bag of Instances Aggregation Boosts Self-supervised Distillation H Xu, J Fang, X Zhang, L Xie, X Wang, W Dai, H Xiong, Q Tian International Conference on Learning Representations, 2022 | 13* | 2022 |
| Neusample: Neural sample field for efficient view synthesis J Fang, L Xie, X Wang, X Zhang, W Liu, Q Tian arXiv preprint arXiv:2111.15552, 2021 | 12 | 2021 |
| 4d gaussian splatting for real-time dynamic scene rendering G Wu, T Yi, J Fang, L Xie, X Zhang, W Wei, W Liu, Q Tian, X Wang arXiv preprint arXiv:2310.08528, 2023 | 7 | 2023 |
| Semantic-Aware Generation for Self-Supervised Visual Representation Learning Y Tian, L Xie, X Zhang, J Fang, H Xu, W Huang, J Jiao, Q Tian, Q Ye arXiv preprint arXiv:2111.13163, 2021 | 4 | 2021 |
| WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation L Zhu, Y Li, J Fang, Y Liu, H Xin, W Liu, X Wang arXiv preprint arXiv:2304.01184, 2023 | 2 | 2023 |
| GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors T Yi, J Fang, G Wu, L Xie, X Zhang, W Liu, Q Tian, X Wang arXiv preprint arXiv:2310.08529, 2023 | 1 | 2023 |
Xinggang WangProfessor, Huazhong University of Science and TechnologyVerified email at hust.edu.cn
