Ruohan Gao

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Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Jiajun WuStanford UniversityVerified email at cs.stanford.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Changan ChenStanfordVerified email at stanford.edu
Yen-Yu ChangStanford UniversityVerified email at stanford.edu
Ziad Al-HalahAssistant Professor of Computer Science, University of UtahVerified email at cs.utah.edu
Samuel ClarkeGraduate Student, Stanford UniversityVerified email at stanford.edu
Jeannette BohgAssistant Professor, Stanford UniversityVerified email at stanford.edu
Hao LiStanford UniversityVerified email at cs.stanford.edu
Rogerio FerisResearch Manager, MIT-IBM Watson AI LabVerified email at us.ibm.com
Lorenzo TorresaniMeta, Fundamental AI Research (FAIR)Verified email at meta.com
Tae-Hyun OhAssociate Professor, KAISTVerified email at csail.mit.edu
Dinesh JayaramanAssistant Professor, University of PennsylvaniaVerified email at seas.upenn.edu
Zilin SiPhD Student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Edward H AdelsonProfessor of Vision Science, MITVerified email at csail.mit.edu
Huazhe XuTsinghua UniversityVerified email at berkeley.edu
Doug L. JamesProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Wenzhen YuanUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Simon Le Cleac'hResearch Scientist, the AI InstituteVerified email at stanford.edu
Mac SchwagerStanford UniversityVerified email at stanford.edu

Ruohan Gao

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

Verified email at umd.edu - Homepage

Computer Vision Multisensory Intelligence Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	322	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	304	2020
2.5 d visual sound R Gao, K Grauman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	251	2019
Co-separating sounds of visual objects R Gao, K Grauman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	233	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	232	2021
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	119	2020
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	114	2018
On-demand learning for deep image restoration R Gao, K Grauman Proceedings of the IEEE international conference on computer vision, 1086-1095, 2017	106	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	105	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	79	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	76*	2022
Visual acoustic matching C Chen, R Gao, P Calamia, K Grauman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	60	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	57	2022
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	40	2023
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
Geometry-aware multi-task learning for binaural audio generation from video R Garg, R Gao, K Grauman arXiv preprint arXiv:2111.10882, 2021	29	2021
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
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	21	2023
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	21	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	20	2023

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