| One million scenes for autonomous driving: Once dataset J Mao, M Niu, C Jiang, H Liang, J Chen, X Liang, Y Li, C Ye, W Zhang, ... arXiv preprint arXiv:2106.11037, 2021 | 283 | 2021 |
| Spatial-aware graph relation network for large-scale object detection H Xu, C Jiang, X Liang, Z Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 144 | 2019 |
| 3D human pose machines with self-supervised learning K Wang, L Lin, C Jiang, C Qian, P Wei IEEE transactions on pattern analysis and machine intelligence 42 (5), 1069-1082, 2019 | 113 | 2019 |
| Reasoning-rcnn: Unifying adaptive global reasoning into large-scale object detection H Xu, CH Jiang, X Liang, L Lin, Z Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 107 | 2019 |
| Hybrid knowledge routed modules for large-scale object detection C Jiang, H Xu, X Liang, L Lin Advances in Neural Information Processing Systems 31, 2018 | 104 | 2018 |
| CLIP2: Contrastive language-image-point pretraining from real-world point cloud data Y Zeng, C Jiang, J Mao, J Han, C Ye, Q Huang, DY Yeung, Z Yang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 82 | 2023 |
| Exploring geometry-aware contrast and clustering harmonization for self-supervised 3d object detection H Liang, C Jiang, D Feng, X Chen, H Xu, X Liang, W Zhang, Z Li, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 77 | 2021 |
| SP-NAS: Serial-to-parallel backbone search for object detection C Jiang, H Xu, W Zhang, X Liang, Z Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 71 | 2020 |
| Layout-graph reasoning for fashion landmark detection W Yu, X Liang, K Gong, C Jiang, N Xiao, L Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 51 | 2019 |
| Unsupervised pretraining for object detection by patch reidentification J Ding, E Xie, H Xu, C Jiang, Z Li, P Luo, GS Xia arXiv preprint arXiv:2103.04814 3, 2021 | 27 | 2021 |
| CO^ 3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving R Chen, Y Mu, R Xu, W Shao, C Jiang, H Xu, Z Li, P Luo arXiv preprint arXiv:2206.04028, 2022 | 21 | 2022 |
| Deeply unsupervised patch re-identification for pre-training object detectors J Ding, E Xie, H Xu, C Jiang, Z Li, P Luo, GS Xia IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (3), 1348-1361, 2022 | 20 | 2022 |
| Elixirnet: Relation-aware network architecture adaptation for medical lesion detection C Jiang, S Wang, X Liang, H Xu, N Xiao Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11093 …, 2020 | 19 | 2020 |
| Vega: towards an end-to-end configurable automl pipeline B Wang, H Xu, J Zhang, C Chen, X Fang, Y Xu, N Kang, L Hong, C Jiang, ... arXiv preprint arXiv:2011.01507, 2020 | 15 | 2020 |
| How to Save your Annotation Cost for Panoptic Segmentation? X Du, CH Jiang, H Xu, G Zhang, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1282-1290, 2021 | 5 | 2021 |
| Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection. F Tang, C Jiang, D Wei, H Xu, A Zhang, W Zhang, H Lu, C Xu BMVC, 280, 2021 | 5 | 2021 |
| Neural network construction method and apparatus C Jiang, H Xu, Z Li, X Liang US Patent App. 17/993,430, 2023 | 3 | 2023 |
| A Survey On Text-to-3D Contents Generation In The Wild C Jiang | 1 | 2024 |
| Method and Apparatus for Determining Neural Network H Xu, Z Li, W Zhang, X Liang, C Jiang US Patent App. 17/738,685, 2022 | 1 | 2022 |
| JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation C Jiang, Y Zeng, T Hu, S Xu, W Zhang, H Xu, DY Yeung European Conference on Computer Vision, 439-456, 2025 | | 2025 |
Xiaodan LiangAssociate Professor, Sun Yat-sen University, MBZUAI, CMU, NUS確認したメール アドレス: mail2.sysu.edu.cn
