| Depth completion from sparse lidar data with depth-normal constraints Y Xu, X Zhu, J Shi, G Zhang, H Bao, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 230 | 2019 |
| SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds X Zhu, Y Ma, T Wang, Y Xu, J Shi, D Lin European Conference on Computer Vision (ECCV) 2020, 2020 | 108 | 2020 |
| Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning L Yang*, Y Xu*, C Yuan, W Liu, B Li, W Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 69 | 2022 |
| Prior guided dropout for robust visual localization in dynamic environments Z Huang, Y Xu, J Shi, X Zhou, H Bao, G Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 53 | 2019 |
| RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization Y Xu, KY Lin, G Zhang, X Wang, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 51 | 2022 |
| Vs-net: Voting with segmentation for visual localization Z Huang, H Zhou, Y Li, B Yang, Y Xu, X Zhou, H Bao, G Zhang, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 40 | 2021 |
| SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks Y Xu, Z Huang, KY Lin, X Zhu, J Shi, H Bao, G Zhang, H Li Conference on Robot Learning (CoRL) 2020, 2020 | 24 | 2020 |
| Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling Y Xu, J Lin, J Shi, G Zhang, X Wang, H Li IEEE Robotics and Automation Letters, 2022 | 20 | 2022 |
| PDNet: Toward better one-stage object detection with prediction decoupling L Yang, Y Xu, S Wang, C Yuan, Z Zhang, B Li, W Hu IEEE Transactions on Image Processing 31, 5121-5133, 2022 | 17 | 2022 |
| Embodied concept learner: Self-supervised learning of concepts and mapping through instruction following M Ding, Y Xu, Z Chen, DD Cox, P Luo, JB Tenenbaum, C Gan Conference on Robot Learning, 1743-1754, 2023 | 14 | 2023 |
| Urban Radiance Field Representation with Deformable Neural Mesh Primitives F Lu*, Y Xu*, G Chen, H Li, KY Lin, C Jiang Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 12 | 2023 |
| Neuralmarker: A framework for learning general marker correspondence Z Huang, X Pan, W Pan, W Bian, Y Xu, KC Cheung, G Zhang, H Li ACM Transactions on Graphics (TOG) 41 (6), 1-10, 2022 | 9 | 2022 |
| Life: Lighting invariant flow estimation Z Huang, X Pan, R Xu, Y Xu, G Zhang, H Li arXiv preprint arXiv:2104.03097, 2021 | 8 | 2021 |
| LiDAR intensity completion: Fully exploiting the message from LiDAR sensors W Dai, S Chen, Z Huang, Y Xu, D Kong Sensors 22 (19), 7533, 2022 | 4 | 2022 |
| NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields J Sun*, Y Xu*, M Ding, H Yi, C Wang, J Wang, L Zhang, M Schwager IEEE Robotics and Automation Letters, 2023 | 3 | 2023 |
| Exploiting Contextual Objects and Relations for 3D Visual Grounding L Yang, Z Zhang, Z Qi, Y Xu, W Liu, Y Shan, B Li, W Yang, P Li, Y Wang, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| RNNPose: 6-DoF Object Pose Estimation Via Recurrent Correspondence Field Estimation and Pose Optimization Yan Xu, Kwan-Yee Lin, Guofeng Zhang, Xiaogang Wang, Hongsheng Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 1 | 2024 |
| Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior F Lu, KY Lin, Y Xu, H Li, G Chen, C Jiang arXiv preprint arXiv:2404.06780, 2024 | | 2024 |
Guofeng ZhangFull Professor, Zhejiang UniversityBestätigte E-Mail-Adresse bei cad.zju.edu.cn
