Yurong You

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Kilian WeinbergerCornell UniversityDirección de correo verificada de cornell.edu
bharath hariharanCornell UniversityDirección de correo verificada de cs.cornell.edu
Mark CampbellJohn A. Mellowes ‘60 Professor, Cornell UniversityDirección de correo verificada de cornell.edu
Yan WangSenior Research Scientist, NVIDIA ResearchDirección de correo verificada de nvidia.com
Wei-Lun (Harry) Chao 趙偉崙Assistant Professor, The Ohio State UniversityDirección de correo verificada de osu.edu
Katie Z LuoCornell UniversityDirección de correo verificada de cornell.edu
Xiangyu ChenInstitute for Infocomm Research (I2R) - A*StarDirección de correo verificada de i2r.a-star.edu.sg
Divyansh GargGraduate student, Stanford UniversityDirección de correo verificada de cornell.edu
Xinlei PanUniversity of California, BerkeleyDirección de correo verificada de cs.berkeley.edu
Cheng Perng PhooAI ResearcherDirección de correo verificada de cornell.edu
Chuan GuoResearch Scientist, FAIR, MetaDirección de correo verificada de fb.com
Andrew Gordon WilsonNew York UniversityDirección de correo verificada de cims.nyu.edu
Jacob GardnerUniversity of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Geoff PleissAssistant Professor, University of British ColumbiaDirección de correo verificada de stat.ubc.ca
cewu luProfessor of Shanghai Jiao Tong UniversityDirección de correo verificada de cs.stanford.edu
Li Erran LiIEEE Fellow and ACM Fellow, AWS AI, AmazonDirección de correo verificada de cs.columbia.edu
Gao Huang （黄高）Associate Professor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Vincent ChenCornell UniversityDirección de correo verificada de cornell.edu
Carlos Diaz-RuizCornell UniversityDirección de correo verificada de cornell.edu
Wen SunAssistant Professor, Cornell UniversityDirección de correo verificada de cornell.edu

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Yurong You

NVIDIA Research

Dirección de correo verificada de nvidia.com - Página principal

Machine Learning Computer Vision Autonomous Vehicles


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Simple black-box adversarial attacks C Guo, J Gardner, Y You, AG Wilson, K Weinberger International conference on machine learning, 2484-2493, 2019	685	2019
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	483	2020
Virtual to real reinforcement learning for autonomous driving X Pan, Y You, Z Wang, C Lu arXiv preprint arXiv:1704.03952, 2017	449	2017
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	327	2018
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	245	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	192	2020
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	46	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	42	2022
Exploiting playbacks in unsupervised domain adaptation for 3d object detection in self-driving cars Y You, CA Diaz-Ruiz, Y Wang, WL Chao, B Hariharan, M Campbell, ... 2022 International Conference on Robotics and Automation (ICRA), 5070-5077, 2022	31	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, ... 2022 International Conference on Robotics and Automation (ICRA), 366-373, 2022	21	2022
Unsupervised adaptation from repeated traversals for autonomous driving Y You, CP Phoo, K Luo, T Zhang, WL Chao, B Hariharan, M Campbell, ... Advances in Neural Information Processing Systems 35, 27716-27729, 2022	19	2022
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	16	2022
Language-Image Models with 3D Understanding JH Cho, B Ivanovic, Y Cao, E Schmerling, Y Wang, X Weng, B Li, Y You, ... arXiv preprint arXiv:2405.03685, 2024	12	2024
Reward finetuning for faster and more accurate unsupervised object discovery K Luo, Z Liu, X Chen, Y You, S Benaim, CP Phoo, M Campbell, W Sun, ... Advances in Neural Information Processing Systems 36, 13250-13266, 2023	9	2023
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	6	2022
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization TY Pan, C Ma, T Chen, CP Phoo, KZ Luo, Y You, M Campbell, ... arXiv preprint arXiv:2310.14592, 2023	4	2023
DiffuBox: Refining 3D Object Detection with Point Diffusion X Chen, Z Liu, KZ Luo, S Datta, A Polavaram, Y Wang, Y You, B Li, ... arXiv preprint arXiv:2405.16034, 2024	2	2024
Better Monocular 3D Detectors with LiDAR from the Past Y You, CP Phoo, CA Diaz-Ruiz, KZ Luo, WL Chao, M Campbell, ... arXiv preprint arXiv:2404.05139, 2024	1	2024
Enhancing 3D Perception with Unlabeled Repeated Historical Data for Autonomous Vehicles Y You Cornell University, 2023	1	2023
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	1	2020

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