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Yuenan Hou
Yuenan Hou
Researcher, Shanghai AI Laboratory; PhD, the Chinese University of Hong Kong
Verified email at link.cuhk.edu.hk - Homepage
Title
Cited by
Cited by
Year
Learning lightweight lane detection cnns by self attention distillation
Y Hou, Z Ma, C Liu, CC Loy
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
4102019
A novel DDPG method with prioritized experience replay
Y Hou, L Liu, Q Wei, X Xu, C Chen
2017 IEEE international conference on systems, man, and cybernetics (SMC …, 2017
1462017
Inter-region affinity distillation for road marking segmentation
Y Hou, Z Ma, C Liu, TW Hui, CC Loy
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
742020
Learning to steer by mimicking features from heterogeneous auxiliary networks
Y Hou, Z Ma, C Liu, CC Loy
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8433-8440, 2019
552019
Point-to-voxel knowledge distillation for lidar semantic segmentation
Y Hou, X Zhu, Y Ma, CC Loy, Y Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
222022
Agnostic lane detection
Y Hou
arXiv preprint arXiv:1905.03704, 2019
212019
Vision-centric bev perception: A survey
Y Ma, T Wang, X Bai, H Yang, Y Hou, Y Wang, Y Qiao, R Yang, ...
arXiv preprint arXiv:2208.02797, 2022
172022
Categorical relation-preserving contrastive knowledge distillation for medical image classification
X Xing, Y Hou, H Li, Y Yuan, H Li, MQH Meng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
132021
Improving DDPG via prioritized experience replay
Y Hou, Y Zhang
no. May, 2019
82019
Stcrowd: A multimodal dataset for pedestrian perception in crowded scenes
P Cong, X Zhu, F Qiao, Y Ren, X Peng, Y Hou, L Xu, R Yang, D Manocha, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
72022
Network pruning via resource reallocation
Y Hou, Z Ma, C Liu, Z Wang, CC Loy
arXiv preprint arXiv:2103.01847, 2021
62021
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection
X Li, B Shi, Y Hou, X Wu, T Ma, Y Li, L He
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
52022
Mind the Gap in Distilling StyleGANs
G Xu, Y Hou, Z Liu, CC Loy
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
22022
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP
R Chen, Y Liu, L Kong, X Zhu, Y Ma, Y Li, Y Hou, Y Qiao, W Wang
arXiv preprint arXiv:2301.04926, 2023
12023
Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading
X Xing, Z Chen, M Zhu, Y Hou, Z Gao, Y Yuan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022
12022
SCPNet: Semantic Scene Completion on Point Cloud
Z Xia, Y Liu, X Li, X Zhu, Y Ma, Y Li, Y Hou, Y Qiao
arXiv preprint arXiv:2303.06884, 2023
2023
Rethinking Range View Representation for LiDAR Segmentation
L Kong, Y Liu, R Chen, Y Ma, X Zhu, Y Li, Y Hou, Y Qiao, Z Liu
arXiv preprint arXiv:2303.05367, 2023
2023
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
X Li, T Ma, Y Hou, B Shi, Y Yang, Y Liu, X Wu, Q Chen, Y Li, Y Qiao, L He
arXiv preprint arXiv:2303.03595, 2023
2023
Improving Deep Network Performance via Model Compression
Y Hou
PQDT-Global, 2021
2021
A Comprehensive Overhaul of Distilling Unconditional GANs
G Xu, Y Hou, Z Liu, CC Loy
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