Multimodal motion prediction with stacked transformers Y Liu, J Zhang, L Fang, Q Jiang, B Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 334 | 2021 |
Edgestereo: A context integrated residual pyramid network for stereo matching X Song, X Zhao, H Hu, L Fang Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 207 | 2019 |
Tpnet: Trajectory proposal network for motion prediction L Fang, Q Jiang, J Shi, B Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 199 | 2020 |
Edgestereo: An effective multi-task learning network for stereo matching and edge detection X Song, X Zhao, L Fang, H Hu, Y Yu International Journal of Computer Vision 128 (4), 910-930, 2020 | 168 | 2020 |
Deformable feature aggregation for dynamic multi-modal 3D object detection Z Chen, Z Li, S Zhang, L Fang, Q Jiang, F Zhao European conference on computer vision, 628-644, 2022 | 95 | 2022 |
Autoalign: Pixel-instance feature aggregation for multi-modal 3d object detection Z Chen, Z Li, S Zhang, L Fang, Q Jiang, F Zhao, B Zhou, H Zhao arXiv preprint arXiv:2201.06493, 2022 | 92 | 2022 |
Discriminative representation combinations for accurate face spoofing detection X Song, X Zhao, L Fang, T Lin Pattern Recognition 85, 220-231, 2019 | 81 | 2019 |
Bevdistill: Cross-modal bev distillation for multi-view 3d object detection Z Chen, Z Li, S Zhang, L Fang, Q Jiang, F Zhao arXiv preprint arXiv:2211.09386, 2022 | 56 | 2022 |
Simipu: Simple 2d image and 3d point cloud unsupervised pre-training for spatial-aware visual representations Z Li, Z Chen, A Li, L Fang, Q Jiang, X Liu, J Jiang, B Zhou, H Zhao Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1500-1508, 2022 | 53 | 2022 |
Graph-DETR3D: rethinking overlapping regions for multi-view 3D object detection Z Chen, Z Li, S Zhang, L Fang, Q Jiang, F Zhao Proceedings of the 30th ACM International Conference on Multimedia, 5999-6008, 2022 | 47 | 2022 |
Unsupervised domain adaptation for monocular 3d object detection via self-training Z Li, Z Chen, A Li, L Fang, Q Jiang, X Liu, J Jiang European conference on computer vision, 245-262, 2022 | 38 | 2022 |
Small-objectness sensitive detection based on shifted single shot detector L Fang, X Zhao, S Zhang Multimedia Tools and Applications 78, 13227-13245, 2019 | 26 | 2019 |
Led: Localization-quality estimation embedded detector S Zhang, X Zhao, L Fang, H Fei, H Song 2018 25th IEEE International Conference on Image Processing (ICIP), 584-588, 2018 | 19 | 2018 |
Multimodal motion prediction with stacked transformers. 2021 IEEE Y Liu, J Zhang, L Fang, Q Jiang, B Zhou CVF Conference on Computer Vision and Pattern Recognition (CVPR), 7573-7582, 2021 | 9 | 2021 |
CAT: Corner aided tracking with deep regression network S Zhang, X Zhao, L Fang IEEE Transactions on Multimedia 23, 859-870, 2020 | 6 | 2020 |
Balanced gradient penalty improves deep long-tailed learning D Wang, Y Liu, L Fang, F Shang, Y Liu, H Liu Proceedings of the 30th ACM International Conference on Multimedia, 5093-5101, 2022 | 4 | 2022 |
A dpm based approach to joint object detection and sub-category recognition L Fang, T Lin, J Wu, X Zhao 2017 IEEE 7th Annual International Conference on CYBER Technology in …, 2017 | 3 | 2017 |
Method and apparatus for trajectory prediction, device and storage medium F Liangji, Q Jiang, SHI Jianping US Patent App. 17/703,268, 2022 | 2 | 2022 |
Towards model generalization for monocular 3d object detection Z Li, Z Chen, A Li, L Fang, Q Jiang, X Liu, J Jiang arXiv preprint arXiv:2205.11664, 2022 | 2 | 2022 |
Putting the anchors efficiently: Geometric constrained pedestrian detection L Fang, X Zhao, X Song, S Zhang, M Yang Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 2 | 2019 |