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Yuenan Hou is a Researcher of Shanghai AI Laboratory, led by Dr. Xiao Sun and Prof. Yu Qiao. He obtained the Ph.D. degree from the Chinese University of Hong Kong (Multimedia Lab) in August 2021, under the supervision of Prof. Chen Change Loy and Prof. Xiaoou Tang. He received his B.E degree from Nanjing University in July 2017, supervised by Prof. Chunlin Chen and Prof. Xianzhong Zhou. His research interest includes 3D Perception, Embodied AI and Large Vision Models. If you are interested in research intern/engineer or joint-training PhD programs at Shanghai AI Lab, please send the email to houyuenan[at]pjlab.org.cn. |
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Two papers are accepted by CVPR. (2024-02-27)NEW!
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Two papers are accepted by AAAI, including one Oral. (2024-01-18)
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Two papers are accepted by NeurIPS. (2023-09-22)
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One paper is accepted by PR. (2023-08-10)
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Four papers are accepted by ICCV 2023. (2023-07-14)
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Serve as an Area Chair of PRCV 2023. (2023-07-03)
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One paper is accepted by MedIA. (2023-06-12)
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One paper is accepted by TWC. (2023-04-21)
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Three papers are accepted by CVPR 2023, including one highlight! (2023-02-28)
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Our team ranks 1st on six challenges of Waymo, SemanticKITTI and nuScenes! (2022-10-31)
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Congrats to Dr. Xing with our paper won MICCAI Society Young Scientist Award 2022! (2022-09-22)
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Two papers are accepted by ECCV 2022. (2022-07-04)
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One paper is accepted by MICCAI 2022. (2022-06-03)
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Two papers are accepted by CVPR 2022. (2022-03-02)
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One paper is accepted by MICCAI 2021. (2021-06-12)
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One paper is accepted by CVPR 2020. (2020-02-24)
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One paper is accepted by ICCV 2019. (2019-07-23)
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One paper is accepted by AAAI 2019 as Oral! (2018-11-23)
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Aug. 2017 - Aug. 2021 , Information Engineering, the Chinese University of Hong Kong Doctor of Philosophy |
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Sep. 2013 - Jul. 2017 , Automation, Nanjing University Bachelor of Engineering |
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Jan. 2023 - now , work in Shanghai AI Lab (OpenGVLab) Team leader: Dr. Xiao Sun, Prof. Yu Qiao and Prof. Wanli Ouyang Research direction: General Robotics and 3D Foundation Model |
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Aug. 2021 - Dec. 2022 , work in Shanghai AI Lab (ADG) Team leader: Dr. Yikang Li Research direction: Offboard 3D Perception |
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Apr. 2020 - May. 2020 , internship in SenseTime Team leader: Dr. Zhe Wang Research direction: Knowledge Distillation and Network Pruning in 3D Detection |
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Mar. 2017 - May. 2017 , internship in SenseTime Team leader: Dr. Chunxiao Liu and Dr. Zheng Ma Research direction: Reinforcement Learning in Autonomous Driving |
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*: Corresponding Author(s)
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Rank 1st on the Waymo 2022 3D Semantic Segmentation Challenge and SemanticKITTI LiDAR Semantic Segmentation Challenge (single-scan)!!! |
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One of the most influential paper in the lane detection field! |
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Area chair of PRCV 2023
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Conference reviewer of CVPR, ICCV, ECCV, ICLR, NeurIPS, AAAI, IJCAI, WACV
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Journal reviewer of TPAMI, IJCV, TIP, Neurocomputing, T-IV, RA-L, TCSVT, IET, Advanced Robotics, TGRS, JSTARS
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Invited talk at Zhidongxi Open Classes, "Advances and Challenges of 3D Foundation Models in the Autonomous Driving Field", 2023
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Invited talk at School of Computer Science and Technology, East China Normal University, "Advances and Challenges of 3D Foundation Models in the Autonomous Driving Field", 2023
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Invited talk at School of Information Science and Technology, ShanghaiTech University, "Recent Advances and Challenges of 3D Perception Tasks", 2022
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Invited talk at School of Computer Science, Wuhan University, "Improving Deep Network Performance via Model Compression", 2021 [ppt pdf]
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Invited talk at School of Cyber Science and Engineering, Wuhan University, "Improving Deep Network Performance via Model Compression", 2021
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Invited talk at School of Artificial Intelligence, Sun Yat-sen University, "Improving Deep Network Performance via Model Compression", 2020
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Rank 1st in SemanticKITTI LiDAR Semantic Segmentation Challenge (multi-scan), 1/50, Apr. 2023
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Visiting Scholar, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Mar. 2023
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Rank 1st in nuScenes LiDAR Semantic Segmentation Challenge, 1/25, the "UniSeg" entry, Oct. 2022
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Rank 1st in Waymo 3D Object Detection Challenge, 1/100, the "LoGoNet_Ens" entry, Oct. 2022
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Rank 1st in SemanticKITTI Semantic Scene Completion Challenge, 1/19, the "SCPNet" entry, Oct. 2022
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Rank 1st in SemanticKITTI Panoptic Segmentation Challenge, 1/30, the "UniSeg" entry, Jul. 2022
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Rank 1st in SemanticKITTI 4D Panoptic Segmentation Challenge, 1/7, the "UniSeg" entry, Jul. 2022
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Rank 1st in SemanticKITTI LiDAR Semantic Segmentation Challenge (single-scan), 1/300, the "Point-Voxel-KD" entry, Jun. 2022
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Rank 1st in Waymo 3D Semantic Segmentation Challenge, 1/20, the "Cylinder3D" entry, May 2022
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Shanghai Leading Talent Program, Shanghai Government, Dec. 2021
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Shanghai Specially-Invited Expert, Shanghai Government, Dec. 2021
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Rank 2nd in SemanticKITTI LiDAR Semantic Segmentation Challenge (multi-scan), 2/100, the "PVKD" entry, Dec. 2021
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Rank 1st in ApolloScape Lane Segmentation Challenge, Baidu, 1/104, the "Codes-for-IntRA-KD" entry, Sep. 2020
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Postgraduate Scholarship, the Chinese University of Hong Kong, 2017 ~ 2021
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Third Prize of Jiangsu Province for Undergraduate Thesis, Nanjing University, 2017 [paper pdf] [awards list]
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Zhenggang Scholarship, Nanjing University, 2017
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Mathematical Contest in Modeling (MCM), Meritorious Winner (13%), 2016 [paper pdf]
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Liao's Scholarship, Nanjing University, 2015
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National Scholarship, Nanjing University, 2014