| Modeling local geometric structure of 3d point clouds using geo-cnn S Lan, R Yu, G Yu, LS Davis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 160 | 2019 |
| Adavit: Adaptive vision transformers for efficient image recognition L Meng, H Li, BC Chen, S Lan, Z Wu, YG Jiang, SN Lim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 95 | 2022 |
| M3detr: Multi-representation, multi-scale, mutual-relation 3d object detection with transformers T Guan, J Wang, S Lan, R Chandra, Z Wu, L Davis, D Manocha Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 85 | 2022 |
| Infofocus: 3d object detection for autonomous driving with dynamic information modeling J Wang, S Lan, M Gao, LS Davis Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 52 | 2020 |
| DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision S Lan, Z Yu, C Choy, S Radhakrishnan, G Liu, Y Zhu, LS Davis, ... arXiv preprint arXiv:2105.06464, 2021 | 51 | 2021 |
| Saccadenet: A fast and accurate object detector S Lan, Z Ren, Y Wu, LS Davis, G Hua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 38 | 2020 |
| Fastmask: Segment multi-scale object candidates in one shot H Hu, S Lan, Y Jiang, Z Cao, F Sha Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 36 | 2017 |
| Re-vilm: Retrieval-augmented visual language model for zero and few-shot image captioning Z Yang, W Ping, Z Liu, V Korthikanti, W Nie, DA Huang, L Fan, Z Yu, S Lan, ... arXiv preprint arXiv:2302.04858, 2023 | 9 | 2023 |
| Vision transformers are good mask auto-labelers S Lan, X Yang, Z Yu, Z Wu, JM Alvarez, A Anandkumar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Using neural networks to perform object detection, instance segmentation, and semantic correspondence from bounding box supervision Z Yu, S Lan, C Choy, S Radhakrishnan, G Liu, Y Zhu, A Anandkumar US Patent App. 17/177,068, 2022 | 7 | 2022 |
| Fb-occ: 3d occupancy prediction based on forward-backward view transformation Z Li, Z Yu, D Austin, M Fang, S Lan, J Kautz, JM Alvarez arXiv preprint arXiv:2307.01492, 2023 | 5 | 2023 |
| FocalFormer3D: Focusing on Hard Instance for 3D Object Detection Y Chen, Z Yu, Y Chen, S Lan, A Anandkumar, J Jia, JM Alvarez Proceedings of the IEEE/CVF International Conference On Computer Vision …, 2023 | 2 | 2023 |
| 1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track J Xiao, Z Xu, S Lan, Z Yu, A Yuille, A Anandkumar arXiv preprint arXiv:2210.12852, 2022 | 2 | 2022 |
| BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection Z Li, S Lan, JM Alvarez, Z Wu arXiv preprint arXiv:2312.01696, 2023 | | 2023 |
| SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation L Meng, S Lan, H Li, JM Alvarez, Z Wu, YG Jiang arXiv preprint arXiv:2311.14671, 2023 | | 2023 |
| Fully Attentional Networks with Self-emerging Token Labeling B Zhao, Z Yu, S Lan, Y Cheng, A Anandkumar, Y Lao, JM Alvarez Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Object Detection and Instance Segmentation for Real-World Applications S Lan University of Maryland, College Park, 2022 | | 2022 |
| Vision Transformers Are Good Mask Auto-Labelers Supplementary Material S Lan, X Yang, Z Yu, Z Wu, JM Alvarez, A Anandkumar | | |
Larry DavisProfessor of Computer Science, University of Maryland在 cs.umd.edu 的電子郵件地址已通過驗證
