{"id":12,"date":"2024-05-08T07:19:37","date_gmt":"2024-05-08T07:19:37","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/2024team7\/?page_id=12"},"modified":"2024-12-03T16:21:23","modified_gmt":"2024-12-03T16:21:23","slug":"team","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2024team7\/team\/","title":{"rendered":"Team"},"content":{"rendered":"\n

Student<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n

Kaihua Chen<\/strong><\/p>\n\n\n\n

Kaihua Chen is a student at Master of Science in Computer Vision (MSCV)<\/a>, Carnegie Mellon University (CMU) advised by Prof. Deva Ramanan<\/a>. His research interests mainly focus on Machine Learning and Computer Vision.<\/p>\n\n\n\n

Project responsibilities: literature review, develop diffusion-based video amodal segmentation and content completion method, benchmark state-of-the-art baselines on both synthetic and real-world datasets.<\/p>\n\n\n\n





<\/p>\n\n\n\n

Advisors<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n

Tarasha Khurana<\/strong><\/p>\n\n\n\n

I am a Ph.D. student at The Robotics Institute, Carnegie Mellon University advised by Prof. Deva Ramanan<\/a>. My research focus is broadly on spatiotemporal 3D scene understanding. Previously, during my Masters at CMU RI, I worked on estimating and exploiting 3D scene geometry from single images, to reason about occlusions and densify sparse depth input.<\/p>\n\n\n\n



<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n

Deva Ramanan<\/strong><\/p>\n\n\n\n

Professor
Robotics Institute<\/a>
Carnegie Mellon University<\/a><\/p>\n\n\n\n

Deva Ramanan is a Professor in the Robotics Institute at Carnegie Mellon University. His research interests span computer vision and machine learning, with
a focus on visual recognition.<\/p>\n","protected":false},"excerpt":{"rendered":"

Student Kaihua Chen Kaihua Chen is a student at Master of Science in Computer Vision (MSCV), Carnegie Mellon University (CMU) advised by Prof. Deva Ramanan. His research interests mainly focus on Machine Learning and Computer Vision. Project responsibilities: literature review, develop diffusion-based video amodal segmentation and content completion method, benchmark state-of-the-art baselines on both synthetic and real-world … <\/p>\n

Continue reading “Team”<\/span><\/a><\/p>\n","protected":false},"author":204,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-12","page","type-page","status-publish","hentry"],"yoast_head":"\nTeam - Learning diffusion priors for video amodal segmentation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mscvprojects.ri.cmu.edu\/2024team7\/team\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Team - Learning diffusion priors for video amodal segmentation\" \/>\n<meta property=\"og:description\" content=\"Student Kaihua Chen Kaihua Chen is a student at Master of Science in Computer Vision (MSCV), Carnegie Mellon University (CMU) advised by Prof. Deva Ramanan. 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