{"id":11,"date":"2023-05-02T04:39:10","date_gmt":"2023-05-02T04:39:10","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/f23team4\/?page_id=11"},"modified":"2023-05-07T04:16:02","modified_gmt":"2023-05-07T04:16:02","slug":"team","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/f23team4\/team\/","title":{"rendered":"Team"},"content":{"rendered":"\n
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Ashwin Vaswani developed the project pipeline, ranging from generating multi-view 3D part-segmentation data using SURREAL to building the CDGNet model and methods to find hard examples.<\/p>\n\n\n\n

Ashwin Vaswani is a Computer Vision graduate student at Carnegie Mellon University with a background in Computer Science from BITS Pilani. His experience includes working as a pre-doctoral researcher at Google Research India, focusing on Assistive Healthcare and Computer Vision, and interning at Martinos Centre, Harvard Medical School, and MGH on various medical image analysis projects. <\/p>\n<\/div>\n\n\n\n

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Minh Tran works on multi-view data processing and active learning methods to find hard examples.<\/p>\n\n\n\n

Minh Tran is a Computer Vision graduate student at Carnegie Mellon University. Previously, he was a data scientist at Actuate AI, focusing on weapon detection and activity recognition on large-scale CCTV systems. Before that, Minh got his degree in Data Science from DePaul University.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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He Wen is a project mentor from Meta Reality Labs; he was an MSCV student in the class of Fall 2018. He received his bachelor\u2019s degree in automation from Tsinghua University. His research focuses on realistic geometry-based 3D face reconstruction algorithms. He is currently a software engineer at Meta Reality Labs. <\/p>\n<\/div>\n\n\n\n

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Yuan Dong is a project mentor from Meta Reality Labs; he was an MSCV student in the class of Fall 2018. He received his bachelor\u2019s degree in automation from Tsinghua University. His research focuses on realistic human reconstruction and human keypoint detection. He is currently a software engineer at Meta Reality Labs.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Prof. Deepak Pathak is the capstone advisor of this project; he is an Assistant Professor at Carnegie Mellon University in the School of Computer Science. He is a member of the Robotics Institute and is affiliated with the Machine Learning Department. He works in Artificial Intelligence at the intersection of Computer Vision, Machine Learning & Robotics.<\/p>\n\n\n\n

Previously, he was a researcher at Facebook AI Research and visiting researcher at UC Berkeley with Pieter Abbeel. He received my Ph.D. from UC Berkeley, advised by Alyosha Efros and Trevor Darrell. Before that, he completed his Bachelors in Computer Science from IIT Kanpur.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Ashwin Vaswani developed the project pipeline, ranging from generating multi-view 3D part-segmentation data using SURREAL to building the CDGNet model and methods to find hard examples. Ashwin Vaswani is a Computer Vision graduate student at Carnegie Mellon University with a background in Computer Science from BITS Pilani. His experience includes working as a pre-doctoral researcher … <\/p>\n

Continue reading “Team”<\/span><\/a><\/p>\n","protected":false},"author":161,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-11","page","type-page","status-publish","hentry"],"yoast_head":"\nTeam - Hard Example Mining for Multi-view Human Part 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\/f23team4\/team\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Team - Hard Example Mining for Multi-view Human Part Segmentation\" \/>\n<meta property=\"og:description\" content=\"Ashwin Vaswani developed the project pipeline, ranging from generating multi-view 3D part-segmentation data using SURREAL to building the CDGNet model and methods to find hard examples. 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