{"id":73,"date":"2025-12-13T04:46:51","date_gmt":"2025-12-13T04:46:51","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/2025team8-1\/?page_id=73"},"modified":"2025-12-13T04:51:36","modified_gmt":"2025-12-13T04:51:36","slug":"team","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2025team8-1\/team\/","title":{"rendered":"Team"},"content":{"rendered":"\n

Student<\/h2>\n\n\n\n
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Clara Cong is currently a Master\u2019s student in Computer Vision at Carnegie Mellon University, advised by\u00a0Prof. Shubham Tulsiani<\/a>. Before that, she was fortunate to work with\u00a0Prof. Matthew O\u2019Toole<\/a>\u00a0on multi-modal 3D reconstruction. She is broadly interested in computer vision and machine learning, with a focus on 3D vision and developing models that capture the structure and motion of the dynamic world.
She obtained her B.Eng. in Computer Science at ShanghaiTech University. During Spring 2023, she was an exchange student at MIT, where she joined the Medical Vision Group under the supervision of\u00a0Prof. Polina Golland<\/a>\u00a0and was mentored by\u00a0Dr. Neel Dey<\/a>.<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n

Advisor<\/h2>\n\n\n\n
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Prof. Shubham Tulsiani is an Assistant Professor at Carnegie Mellon University in the\u00a0Robotics Institute<\/a>, where he is a part of the\u00a0Computer Vision group<\/a>. He is interested in building perception systems that can infer the spatial and physical structure of the world they observe.
Prior to joining CMU, he was a Research Scientist at\u00a0FAIR<\/a>, Pittsburgh working with\u00a0Abhinav Gupta<\/a>. He previously graduated from UC, Berkeley where he was advised by\u00a0Jitendra Malik<\/a>, and also frequently collaborated with\u00a0Alyosha Efros.<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Student Clara Cong is currently a Master\u2019s student in Computer Vision at Carnegie Mellon University, advised by\u00a0Prof. Shubham Tulsiani. Before that, she was fortunate to work with\u00a0Prof. Matthew O\u2019Toole\u00a0on multi-modal 3D reconstruction. She is broadly interested in computer vision and machine learning, with a focus on 3D vision and developing models that capture the structure … <\/p>\n

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