Ruohan Gao is a Ph.D. student under the supervision of Prof. Kristen Grauman in the Department of Computer Science at The University of Texas at Austin. Ruohan's research interests are in computer vision, machine learning and data mining. Particularly, he is interesed in unsupervised learning from unlabeled images and videos.
Ruohan received his B.Eng. degree from the Department of Information Engineering at The Chinese University of Hong Kong (CUHK) in 2015 with First Class Honours. At CUHK, he conducted research on large graph mining through graph sampling under the supervision of Prof. Wing Cheong Lau.
Learning to Separate Object Sounds by Watching Unlabeled Video
Ruohan Gao, Rogerio Feris, Kristen Grauman.
ArXiv Pre-print, 2018
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Ruohan Gao, Bo Xiong, Kristen Grauman.
Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, June 2018. (Oral)
ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids
Dinesh Jayaraman, Ruohan Gao, Kristen Grauman.
ArXiv Pre-print, 2017
On-Demand Learning for Deep Image Restoration
Ruohan Gao, Kristen Grauman.
International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017.
Object-Centric Representation Learning from Unlabeled Videos
Ruohan Gao, Dinesh Jayaraman, Kristen Grauman.
Asian Conference on Computer Vision (ACCV), Taipei, Taiwan, Nov. 2016.
Ruohan Gao, Huanle Xu, Pili Hu, Wing Cheong Lau, “Accelerating Graph Mining Algorithms via Uniform Random Edge Sampling”, IEEE ICC, Kuala Lumpur, May. 2016. [PDF]
Ruohan Gao, Pili Hu, Wing Cheong Lau, “Graph Property Preservation under Community-Based Sampling”, IEEE Globecom, San Diego, CA, Dec. 2015. [PDF]
Ruohan Gao, Huanle Xu, Pili Hu, Wing Cheong Lau, “Accelerating Graph Mining Algorithms via Uniform Random Edge Sampling (Poster)”, ACM Conference on Online Social Networks (COSN), Stanford, CA, Nov. 2015.