Mean-variance loss for deep age estimation from a face H Pan, H Han, S Shan, X Chen Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 279 | 2018 |
Pvgnet: A bottom-up one-stage 3d object detector with integrated multi-level features Z Miao, J Chen, H Pan, R Zhang, K Liu, P Hao, J Zhu, Y Wang, X Zhan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 49 | 2021 |
Cpgnet: Cascade point-grid fusion network for real-time lidar semantic segmentation X Li, G Zhang, H Pan, Z Wang 2022 International Conference on Robotics and Automation (ICRA), 11117-11123, 2022 | 30 | 2022 |
Deep conditional distribution learning for age estimation H Sun, H Pan, H Han, S Shan IEEE Transactions on Information Forensics and Security 16, 4679-4690, 2021 | 21 | 2021 |
Int: Towards infinite-frames 3d detection with an efficient framework J Xu, Z Miao, D Zhang, H Pan, K Liu, P Hao, J Zhu, Z Sun, H Li, X Zhan European Conference on Computer Vision, 193-209, 2022 | 19 | 2022 |
Be-sti: Spatial-temporal integrated network for class-agnostic motion prediction with bidirectional enhancement Y Wang, H Pan, J Zhu, YH Wu, X Zhan, K Jiang, D Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
Contrastalign: Toward robust bev feature alignment via contrastive learning for multi-modal 3d object detection Z Song, F Jia, H Pan, Y Luo, C Jia, G Zhang, L Liu, Y Ji, L Yang, L Wang arXiv preprint arXiv:2405.16873, 2024 | 12 | 2024 |
Revised contrastive loss for robust age estimation from face H Pan, H Han, S Shan, X Chen 2018 24th International Conference on Pattern Recognition (ICPR), 3586-3591, 2018 | 10 | 2018 |
Sparsedet: a simple and effective framework for fully sparse lidar-based 3D object detection L Liu, Z Song, Q Xia, F Jia, C Jia, L Yang, Y Gong, H Pan IEEE Transactions on Geoscience and Remote Sensing, 2024 | 3 | 2024 |
Supplementary Material for BE-STI: Spatial-Temporal Integrated Network for Class-agnostic Motion Prediction with Bidirectional Enhancement Y Wang, H Pan, J Zhu, YH Wu, X Zhan, K Jiang, D Yang | | |