Yurong You

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Kilian WeinbergerCornell UniversityVerified email at cornell.edu
bharath hariharanCornell UniversityVerified email at cs.cornell.edu
Yan WangResearch Scientist, WaymoVerified email at waymo.com
Wei-Lun (Harry) Chao 趙偉崙Assistant Professor, The Ohio State UniversityVerified email at osu.edu
Mark CampbellJohn A. Mellowes ‘60 Professor, Cornell UniversityVerified email at cornell.edu
Xinlei PanUniversity of California, BerkeleyVerified email at cs.berkeley.edu
Divyansh GargGraduate student, Stanford UniversityVerified email at cornell.edu
cewu luProfessor of Shanghai Jiao Tong UniversityVerified email at cs.stanford.edu
Chuan GuoResearch Scientist, Facebook AI ResearchVerified email at fb.com
Andrew Gordon WilsonNew York UniversityVerified email at cims.nyu.edu
Jacob GardnerUniversity of PennsylvaniaVerified email at seas.upenn.edu
Gao Huang （黄高）Associate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Luke Lequn WangCornell UniversityVerified email at cornell.edu
Geoff PleissColumbia UniversityVerified email at columbia.edu
Xiangyu ChenPhD Student, Cornell UniversityVerified email at cs.cornell.edu
Li Erran LiIEEE Fellow and ACM Fellow, AWS AI, AmazonVerified email at cs.columbia.edu
Rui QianPhD Student, Cornell University and Cornell TechVerified email at cornell.edu
Serge BelongieProfessor of Computer Science, University of CopenhagenVerified email at di.ku.dk
Julio GiordanoCornell UniversityVerified email at cornell.edu

Yurong You

Cornell University

Verified email at cornell.edu - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Virtual to real reinforcement learning for autonomous driving X Pan, Y You, Z Wang, C Lu arXiv preprint arXiv:1704.03952, 2017	288	2017
Simple black-box adversarial attacks C Guo, J Gardner, Y You, AG Wilson, K Weinberger International Conference on Machine Learning, 2484-2493, 2019	241	2019
Resource aware person re-identification across multiple resolutions Y Wang, L Wang, Y You, X Zou, V Chen, S Li, G Huang, B Hariharan, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018	230	2018
Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving Y You, Y Wang, WL Chao, D Garg, G Pleiss, B Hariharan, M Campbell, ... International Conference on Learning Representations, 2020	194	2020
End-to-end pseudo-lidar for image-based 3d object detection R Qian, D Garg, Y Wang, Y You, S Belongie, B Hariharan, M Campbell, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	81	2020
Train in germany, test in the usa: Making 3d object detectors generalize Y Wang, X Chen, Y You, LE Li, B Hariharan, M Campbell, KQ Weinberger, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	44	2020
Exploiting playbacks in unsupervised domain adaptation for 3D object detection Y You, CA Diaz-Ruiz, Y Wang, WL Chao, B Hariharan, M Campbell, ... arXiv preprint arXiv:2103.14198, 2021	3	2021
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception Y You, KZ Luo, X Chen, J Chen, WL Chao, W Sun, B Hariharan, ... arXiv preprint arXiv:2203.11405, 2022	1	2022
R4D: Utilizing Reference Objects for Long-Range Distance Estimation Y Li, T Chen, M Kabkab, R Yu, L Jing, Y You, H Zhao arXiv preprint arXiv:2206.04831, 2022		2022
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking L Jing, R Yu, H Kretzschmar, K Li, CR Qi, H Zhao, A Ayvaci, X Chen, ... arXiv preprint arXiv:2206.03666, 2022		2022
Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions CA Diaz-Ruiz, Y Xia, Y You, J Nino, J Chen, J Monica, X Chen, K Luo, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022		2022
Learning to Detect Mobile Objects from LiDAR Scans Without Labels Y You, K Luo, CP Phoo, WL Chao, W Sun, B Hariharan, M Campbell, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022		2022
Performance of different machine learning methods for prediction of the health status of lactating dairy cows. MM Perez, Y You, Y Wang, KQ Weinberger, DV Nydam, JO Giordano JOURNAL OF DAIRY SCIENCE 103, 28-28, 2020		2020
Performance of the machine learning method XG-Boost for prediction of clinical health disorders in lactating dairy cows. MM Perez, Y You, Y Wang, KQ Weinberger, DV Nydam, JO Giordano JOURNAL OF DAIRY SCIENCE 103, 28-28, 2020		2020

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