| Scale-aware trident networks for object detection Y Li, Y Chen, N Wang, Z Zhang The IEEE International Conference on Computer Vision (ICCV) 2019, 6054-6063, 2019 | 1113 | 2019 |
| Sequence Level Semantics Aggregation for Video Object Detection H Wu, Y Chen, N Wang, Z Zhang The IEEE International Conference on Computer Vision (ICCV) 2019, 9217-9225, 2019 | 279 | 2019 |
| Darkrank: Accelerating deep metric learning via cross sample similarities transfer Y Chen, N Wang, Z Zhang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 239 | 2018 |
| Bevformer v2: Adapting modern image backbones to bird's-eye-view recognition via perspective supervision C Yang, Y Chen, H Tian, C Tao, X Zhu, Z Zhang, G Huang, H Li, Y Qiao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 210 | 2023 |
| Spectral Feature Transformation for Person Re-identification C Luo, Y Chen, N Wang, Z Zhang The IEEE International Conference on Computer Vision (ICCV) 2019, 4976-4985, 2019 | 160 | 2019 |
| Revisiting Feature Alignment for One-stage Object Detection Y Chen, C Han, N Wang, Z Zhang arXiv preprint arXiv:1908.01570, 2019 | 83 | 2019 |
| Ghost in the minecraft: Generally capable agents for open-world environments via large language models with text-based knowledge and memory X Zhu, Y Chen, H Tian, C Tao, W Su, C Yang, G Huang, B Li, L Lu, ... arXiv preprint arXiv:2305.17144, 2023 | 62 | 2023 |
| Gifs: Neural implicit function for general shape representation J Ye, Y Chen, N Wang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 54 | 2022 |
| Immortal tracker: Tracklet never dies Q Wang, Y Chen, Z Pang, N Wang, Z Zhang arXiv preprint arXiv:2111.13672, 2021 | 49 | 2021 |
| Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation Y Wang, Y Chen, X Liao, L Fan, Z Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 46 | 2024 |
| SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition Y Chen, C Han, Y Li, Z Huang, Y Jiang, N Wang, Z Zhang Journal of Machine Learning Research(JMLR) 20 (156), 1-8, 2019 | 45 | 2019 |
| Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving Y Wang, J He, L Fan, H Li, Y Chen, Z Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 32 | 2024 |
| Densely constrained depth estimator for monocular 3d object detection Y Li, Y Chen, J He, Z Zhang European Conference on Computer Vision, 718-734, 2022 | 32 | 2022 |
| Unsupervised object detection with lidar clues H Tian, Y Chen, J Dai, Z Zhang, X Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 31 | 2021 |
| Efficient deformable convnets: Rethinking dynamic and sparse operator for vision applications Y Xiong, Z Li, Y Chen, F Wang, X Zhu, J Luo, W Wang, T Lu, H Li, Y Qiao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 28 | 2024 |
| Mm-interleaved: Interleaved image-text generative modeling via multi-modal feature synchronizer C Tian, X Zhu, Y Xiong, W Wang, Z Chen, W Wang, Y Chen, L Lu, T Lu, ... arXiv preprint arXiv:2401.10208, 2024 | 24 | 2024 |
| Frustumformer: Adaptive instance-aware resampling for multi-view 3d detection Y Wang, Y Chen, Z Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 23 | 2023 |
| Fully sparse fusion for 3d object detection Y Li, L Fan, Y Liu, Z Huang, Y Chen, N Wang, Z Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 15 | 2024 |
| 4d unsupervised object discovery Y Wang, Y Chen, ZX ZHANG Advances in Neural Information Processing Systems 35, 35563-35575, 2022 | 15 | 2022 |
| Once detected, never lost: Surpassing human performance in offline LiDAR based 3D object detection L Fan, Y Yang, Y Mao, F Wang, Y Chen, N Wang, Z Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |
Zhaoxiang ZhangInstitute of Automation, Chinese Academy of Sciences在 ieee.org 的電子郵件地址已通過驗證
