Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection Z Wang, Y Li, Y Guo, L Fang, S Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 70 | 2021 |
Detecting everything in the open world: Towards universal object detection Z Wang, Y Li, X Chen, SN Lim, A Torralba, H Zhao, S Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 41 | 2023 |
Noisy boundaries: Lemon or lemonade for semi-supervised instance segmentation? Z Wang, Y Li, S Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
Combating noise: semi-supervised learning by region uncertainty quantification Z Wang, YL Li, Y Guo, S Wang Advances in Neural Information Processing Systems 34, 9534-9545, 2021 | 20 | 2021 |
Hybrid physical metric for 6-dof grasp pose detection Y Lu, B Deng, Z Wang, P Zhi, Y Li, S Wang 2022 International Conference on Robotics and Automation (ICRA), 8238-8244, 2022 | 8 | 2022 |
Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms R Li, L Yu, B Zhou, X Zeng, Z Wang, X Yang, J Zhang, X Gao, R Jiang, ... PLoS computational biology 16 (11), e1008227, 2020 | 8 | 2020 |
Uni3detr: Unified 3d detection transformer Z Wang, YL Li, X Chen, H Zhao, S Wang Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation Z Wang, E Xie, A Li, Z Wang, X Liu, Z Li arXiv preprint arXiv:2401.15688, 2024 | 2 | 2024 |
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation T Liu, C Gao, Z Wang, D Li, J Hao, D Jin, Y Li Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation Z Wang, Y Li, T Liu, H Zhao, S Wang arXiv preprint arXiv:2403.19580, 2024 | | 2024 |