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Shiyi Lan
Shiyi Lan
NVIDIA Autonomous Vehicle Research
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
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
1772019
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
1302022
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
982022
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
602020
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
582021
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
392020
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
372017
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
202023
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
162022
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
132023
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
122023
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
122023
1st place solution of the robust vision challenge 2022 semantic segmentation track
J Xiao, Z Xu, S Lan, Z Yu, A Yuille, A Anandkumar
arXiv preprint arXiv:2210.12852, 2022
32022
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
Z Li, Z Yu, S Lan, J Li, J Kautz, T Lu, JM Alvarez
arXiv preprint arXiv:2312.03031, 2023
22023
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection
Z Li, S Lan, JM Alvarez, Z Wu
arXiv preprint arXiv:2312.01696, 2023
22023
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
12023
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
J Xiao, Z Zhou, W Li, S Lan, J Mei, Z Yu, A Yuille, Y Zhou, C Xie
arXiv preprint arXiv:2312.13764, 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
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
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Articles 1–20