| Deep adaptive image clustering J Chang, L Wang, G Meng, S Xiang, C Pan Proceedings of the IEEE international conference on computer vision, 5879-5887, 2017 | 625 | 2017 |
| Cross-modality paired-images generation for RGB-infrared person re-identification GA Wang, T Zhang, Y Yang, J Cheng, J Chang, X Liang, ZG Hou Proceedings of the AAAI conference on artificial intelligence 34 (07), 12144 …, 2020 | 321 | 2020 |
| Spatio-temporal graph structure learning for traffic forecasting Q Zhang, J Chang, G Meng, S Xiang, C Pan Proceedings of the AAAI conference on artificial intelligence 34 (01), 1177-1185, 2020 | 240 | 2020 |
| Weight-sharing neural architecture search: A battle to shrink the optimization gap L Xie, X Chen, K Bi, L Wei, Y Xu, L Wang, Z Chen, A Xiao, J Chang, ... ACM Computing Surveys (CSUR) 54 (9), 1-37, 2021 | 94 | 2021 |
| Camera-space hand mesh recovery via semantic aggregation and adaptive 2d-1d registration X Chen, Y Liu, C Ma, J Chang, H Wang, T Chen, X Guo, P Wan, W Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 94 | 2021 |
| Deep self-evolution clustering J Chang, G Meng, L Wang, S Xiang, C Pan IEEE transactions on pattern analysis and machine intelligence 42 (4), 809-823, 2018 | 82 | 2018 |
| Deep discriminative clustering analysis J Chang, Y Guo, L Wang, G Meng, S Xiang, C Pan arXiv preprint arXiv:1905.01681, 2019 | 70 | 2019 |
| Vision-based occlusion handling and vehicle classification for traffic surveillance systems J Chang, L Wang, G Meng, S Xiang, C Pan IEEE Intelligent Transportation Systems Magazine 10 (2), 80-92, 2018 | 61 | 2018 |
| Data: Differentiable architecture approximation J Chang, Y Guo, G Meng, S Xiang, C Pan Advances in Neural Information Processing Systems 32, 2019 | 58 | 2019 |
| Structure-aware convolutional neural networks J Chang, J Gu, L Wang, G Meng, S Xiang, C Pan Advances in neural information processing systems 31, 2018 | 55 | 2018 |
| Kernel-weighted graph convolutional network: A deep learning approach for traffic forecasting Q Zhang, Q Jin, J Chang, S Xiang, C Pan 2018 24th international conference on pattern recognition (ICPR), 1018-1023, 2018 | 50 | 2018 |
| Learning graph structure via graph convolutional networks Q Zhang, J Chang, G Meng, S Xu, S Xiang, C Pan Pattern Recognition 95, 308-318, 2019 | 48 | 2019 |
| Pro-tuning: Unified prompt tuning for vision tasks X Nie, B Ni, J Chang, G Meng, C Huo, S Xiang, Q Tian IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 47 | 2023 |
| MS-Net: Multi-source spatio-temporal network for traffic flow prediction S Fang, V Prinet, J Chang, M Werman, C Zhang, S Xiang, C Pan IEEE Transactions on Intelligent Transportation Systems 23 (7), 7142-7155, 2021 | 34 | 2021 |
| Being comes from not-being: Open-vocabulary text-to-motion generation with wordless training J Lin, J Chang, L Liu, G Li, L Lin, Q Tian, C Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 28 | 2023 |
| Towards a unified view on visual parameter-efficient transfer learning BXB Yu, J Chang, L Liu, Q Tian, CW Chen arXiv preprint arXiv:2210.00788, 2022 | 26 | 2022 |
| Prompt-matched semantic segmentation L Liu, J Chang, BXB Yu, L Lin, Q Tian, CW Chen arXiv preprint arXiv:2208.10159, 2022 | 26 | 2022 |
| Visual tuning BXB Yu, J Chang, H Wang, L Liu, S Wang, Z Wang, J Lin, L Xie, H Li, ... ACM Computing Surveys 56 (12), 1-38, 2024 | 22 | 2024 |
| Accurate fine-grained object recognition with structure-driven relation graph networks S Wang, Z Wang, H Li, J Chang, W Ouyang, Q Tian International Journal of Computer Vision 132 (1), 137-160, 2024 | 22 | 2024 |
| Local-aggregation graph networks J Chang, L Wang, G Meng, Q Zhang, S Xiang, C Pan IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (11), 2874 …, 2019 | 22 | 2019 |
Shiming XiangNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of SciencesVerifisert e-postadresse på nlpr.ia.ac.cn
