Yan Wang

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Kilian WeinbergerCornell UniversityDirección de correo verificada de cornell.edu
Mark CampbellJohn A. Mellowes ‘60 Professor, Cornell UniversityDirección de correo verificada de cornell.edu
Wei-Lun (Harry) Chao 趙偉崙Assistant Professor, The Ohio State UniversityDirección de correo verificada de osu.edu
bharath hariharanCornell UniversityDirección de correo verificada de cs.cornell.edu
Yurong YouNVIDIA ResearchDirección de correo verificada de nvidia.com
Divyansh GargGraduate student, Stanford UniversityDirección de correo verificada de cornell.edu
Gao Huang （黄高）Associate Professor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Marco PavoneStanford University and NVIDIADirección de correo verificada de stanford.edu
Laurens van der MaatenDistinguished Research Scientist, Llama Team, Meta AIDirección de correo verificada de meta.com
Brian H. WangCornell UniversityDirección de correo verificada de cornell.edu
Boyi LiNVIDIA Research, UC BerkeleyDirección de correo verificada de berkeley.edu
Geoff PleissAssistant Professor, University of British ColumbiaDirección de correo verificada de stat.ubc.ca
Carlos Diaz-RuizCornell UniversityDirección de correo verificada de cornell.edu
Katie Z LuoCornell UniversityDirección de correo verificada de cornell.edu
Zihang LaiUniversity of OxfordDirección de correo verificada de andrew.cmu.edu
Serge BelongieUniversity of CopenhagenDirección de correo verificada de di.ku.dk
Xiangyu ChenPhD Student, Cornell UniversityDirección de correo verificada de cs.cornell.edu
Li Erran LiIEEE Fellow and ACM Fellow, AWS AI, AmazonDirección de correo verificada de cs.columbia.edu
Luyu YangUniversity of MarylandDirección de correo verificada de umd.edu
Kun HeProfessor, Huazhong University of Science and TechnologyDirección de correo verificada de hust.edu.cn

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Yan Wang

Otros nombres王岩

Senior Research Scientist, NVIDIA Research

Dirección de correo verificada de nvidia.com - Página principal

Computer Vision Machine Learning Autonomous Vehicle


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Pseudo-LiDAR from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving Y Wang, WL Chao, D Garg, B Hariharan, M Campbell, KQ Weinberger IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8445-8453, 2019	1272	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 (ICLR), 2019	483	2019
Simpleshot: Revisiting nearest-neighbor classification for few-shot learning Y Wang, WL Chao, KQ Weinberger, L Van Der Maaten arXiv preprint arXiv:1911.04623, 2019	414	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, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8042-8051, 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, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5881-5890, 2020	245	2020
Anytime stereo image depth estimation on mobile devices Y Wang, Z Lai, G Huang, BH Wang, L Van Der Maaten, M Campbell, ... 2019 international conference on robotics and automation (ICRA), 5893-5900, 2019	245	2019
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, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11713 …, 2020	193	2020
Deep co-training with task decomposition for semi-supervised domain adaptation L Yang, Y Wang, M Gao, A Shrivastava, KQ Weinberger, WL Chao, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021	112	2021
A Powerful Generative Model Using Random Weights for the Deep Image Representation K He, Y Wang, J Hopcroft Advances In Neural Information Processing Systems (NeurIPS), 631-639, 2016	97	2016
Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ... Advances in Neural Information Processing Systems 36, 2024	85	2024
Wasserstein Distances for Stereo Disparity Estimation D Garg, Y Wang, B Hariharan, M Campbell, KQ Weinberger, WL Chao Advances In Neural Information Processing Systems (NeurIPS), 2020	79	2020
PLUME: Efficient 3D Object Detection from Stereo Images Y Wang, B Yang, R Hu, M Liang, R Urtasun International Conference on Intelligent Robots and Systems (IROS), 2021	52	2021
Fixed Neural Network Steganography: Train the images, not the network V Kishore, X Chen, Y Wang, B Li, KQ Weinberger International Conference on Learning Representations (ICLR), 2021	48	2021
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
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images BH Wang, WL Chao, Y Wang, B Hariharan, KQ Weinberger, M Campbell IEEE Robotics and Automation Letters 4 (3), 2902 - 2909, 2019	37	2019
Exploiting playbacks in unsupervised domain adaptation for 3D object detection Y You, CA Diaz-Ruiz, Y Wang, WL Chao, B Hariharan, M Campbell, ... IEEE International Conference on Robotics and Automation (ICRA), 2021	31*	2021
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps KZ Luo, X Weng, Y Wang, S Wu, J Li, KQ Weinberger, Y Wang, M Pavone International Conference on Robotics and Automation, 2024	23	2024
Spatial-temporal graph neural network for interaction-aware vehicle trajectory prediction J Chen, Y Wang, R Wu, M Campbell 2021 IEEE 17th International Conference on Automation Science and …, 2021	17	2021
PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving X Weng, B Ivanovic, Y Wang, Y Wang, M Pavone Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	16	2024
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

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