Ruohan Gao

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Kristen GraumanProfessor of Computer Science, University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Jiajun WuStanford UniversityDirección de correo verificada de cs.stanford.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Changan ChenStanfordDirección de correo verificada de stanford.edu
Yen-Yu ChangStanford UniversityDirección de correo verificada de stanford.edu
Ziad Al-HalahAssistant Professor of Computer Science, University of UtahDirección de correo verificada de cs.utah.edu
Samuel ClarkeGraduate Student, Stanford UniversityDirección de correo verificada de stanford.edu
Jeannette BohgAssistant Professor, Stanford UniversityDirección de correo verificada de stanford.edu
Rogerio FerisResearch Manager, MIT-IBM Watson AI LabDirección de correo verificada de us.ibm.com
Lorenzo TorresaniMeta, Fundamental AI Research (FAIR)Dirección de correo verificada de meta.com
Tae-Hyun OhAssociate Professor, POSTECHDirección de correo verificada de csail.mit.edu
Dinesh JayaramanAssistant Professor, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Zilin SiPhD Student, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Edward H AdelsonProfessor of Vision Science, MITDirección de correo verificada de csail.mit.edu
Huazhe XuTsinghua UniversityDirección de correo verificada de berkeley.edu
Doug L. JamesProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Wenzhen YuanUniversity of Illinois Urbana-ChampaignDirección de correo verificada de illinois.edu
Simon Le Cleac'hResearch Scientist, the AI InstituteDirección de correo verificada de stanford.edu
Mac SchwagerStanford UniversityDirección de correo verificada de stanford.edu
Yunzhu LiColumbia UniversityDirección de correo verificada de columbia.edu

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Ruohan Gao

Assistant Professor of Computer Science, University of Maryland, College Park

Dirección de correo verificada de umd.edu - Página principal

Computer Vision Multisensory Learning Machine Learning Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Learning to separate object sounds by watching unlabeled video R Gao, R Feris, K Grauman Proceedings of the European Conference on Computer Vision (ECCV), 35-53, 2018	309	2018
Listen to look: Action recognition by previewing audio R Gao, TH Oh, K Grauman, L Torresani Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	277	2020
2.5 d visual sound R Gao, K Grauman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	236	2019
Co-separating sounds of visual objects R Gao, K Grauman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	225	2019
Visualvoice: Audio-visual speech separation with cross-modal consistency R Gao, K Grauman 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2021	209	2021
Im2flow: Motion hallucination from static images for action recognition R Gao, B Xiong, K Grauman Proceedings of the IEEE conference on computer vision and pattern …, 2018	113	2018
Learning to set waypoints for audio-visual navigation C Chen, S Majumder, Z Al-Halah, R Gao, SK Ramakrishnan, K Grauman arXiv preprint arXiv:2008.09622, 2020	109	2020
On-demand learning for deep image restoration R Gao, K Grauman Proceedings of the IEEE international conference on computer vision, 1086-1095, 2017	103	2017
VisualEchoes: Spatial Image Representation Learning Through Echolocation R Gao, C Chen, Z Al-Halah, C Schissler, K Grauman Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	98	2020
Objectfolder: A dataset of objects with implicit visual, auditory, and tactile representations R Gao, YY Chang, S Mall, L Fei-Fei, J Wu arXiv preprint arXiv:2109.07991, 2021	76	2021
Objectfolder 2.0: A multisensory object dataset for sim2real transfer R Gao, Z Si, YY Chang, S Clarke, J Bohg, L Fei-Fei, W Yuan, J Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	70*	2022
Visual acoustic matching C Chen, R Gao, P Calamia, K Grauman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	52	2022
See, hear, and feel: Smart sensory fusion for robotic manipulation H Li, Y Zhang, J Zhu, S Wang, MA Lee, H Xu, E Adelson, L Fei-Fei, R Gao, ... arXiv preprint arXiv:2212.03858, 2022	42	2022
Object-centric representation learning from unlabeled videos R Gao, D Jayaraman, K Grauman Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017	39	2017
Differentiable physics simulation of dynamics-augmented neural objects S Le Cleac'h, HX Yu, M Guo, T Howell, R Gao, J Wu, Z Manchester, ... IEEE Robotics and Automation Letters 8 (5), 2780-2787, 2023	32	2023
Shapecodes: self-supervised feature learning by lifting views to viewgrids D Jayaraman, R Gao, K Grauman Proceedings of the European Conference on Computer Vision (ECCV), 120-136, 2018	27*	2018
Geometry-aware multi-task learning for binaural audio generation from video R Garg, R Gao, K Grauman arXiv preprint arXiv:2111.10882, 2021	25	2021
Diffimpact: Differentiable rendering and identification of impact sounds S Clarke, N Heravi, M Rau, R Gao, J Wu, D James, J Bohg Conference on Robot Learning, 662-673, 2022	20	2022
Learning object-centric neural scattering functions for free-viewpoint relighting and scene composition HX Yu, M Guo, A Fathi, YY Chang, ER Chan, R Gao, T Funkhouser, J Wu arXiv preprint arXiv:2303.06138, 2023	19	2023
The objectfolder benchmark: Multisensory learning with neural and real objects R Gao, Y Dou, H Li, T Agarwal, J Bohg, Y Li, L Fei-Fei, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	19	2023

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