{"id":27,"date":"2019-05-06T01:30:11","date_gmt":"2019-05-06T01:30:11","guid":{"rendered":"http:\/\/mscvprojects.ri.cmu.edu\/2019teamf\/?page_id=27"},"modified":"2019-12-06T20:27:04","modified_gmt":"2019-12-06T20:27:04","slug":"team-members","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2019teamf\/team-members\/","title":{"rendered":"Team Members"},"content":{"rendered":"

\"\"Yujia Chen\u00a0\u00a0<\/strong><\/p>\n

LinkedIn\u00a0\u00a0<\/a>\u00a0|\u00a0Homepage<\/a><\/p>\n

MSCV Student, CMU<\/em><\/p>\n

E-mail: yujiac2@andrew.cmu.edu<\/em><\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

Responsibility<\/strong>: Develop normal estimation models and apply on the real world point cloud; apply weight pruning to do model compression. Use the unsupervised learning methods to solve the cloth parts detection problem.<\/p>\n

Bio<\/strong>:\u00a0Yujia Chen is a graduate student enrolled in MSCV, class of 2019. His research interests mainly include machine learning, computer vision, deep learning and related topics.<\/p>\n

 <\/p>\n

\"\"<\/p>\n

Luxin Zhang\u00a0\u00a0<\/strong><\/p>\n

LinkedIn<\/a> | Homepage<\/a><\/p>\n

MSCV student, CMU<\/em><\/p>\n

E-mail: luxinz@andrew.cmu.edu<\/em><\/p>\n

 <\/p>\n

 <\/p>\n

Responsibility<\/strong>: Develop normal estimation models and apply on the generated point cloud; apply knowledge distillation to do model compression.\u00a0Use the supervised learning methods to solve the cloth parts detection problem.<\/p>\n

Bio<\/strong>: Luxin Zhang is a graduate student enrolled in MSCV, class of 2019. She was an undergraduate student at\u00a0School of EECS,\u00a0Peking University.\u00a0 Her interests generally lie in Machine Learning, Computer Vision and Artificial Intelligence.<\/p>\n

 <\/p>\n

\"\"<\/p>\n

Adviser:<\/strong><\/p>\n

David Held<\/strong><\/p>\n

Assistant Professor, CMU<\/em><\/p>\n

Email:\u00a0dheld@andrew.cmu.edu<\/em><\/p>\n

Homepage<\/a><\/p>\n

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

Yujia Chen\u00a0\u00a0 LinkedIn\u00a0\u00a0\u00a0|\u00a0Homepage MSCV Student, CMU E-mail: yujiac2@andrew.cmu.edu       Responsibility: Develop normal estimation models and apply on the real world point cloud; apply weight pruning to do model compression. Use the unsupervised learning methods to solve the cloth parts detection problem. Bio:\u00a0Yujia Chen is a graduate student enrolled in MSCV, class of 2019. … <\/p>\n

Continue reading “Team Members”<\/span><\/a><\/p>\n","protected":false},"author":44,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-27","page","type-page","status-publish","hentry"],"yoast_head":"\nTeam Members - Deep Slope Estimation with Formal Verification & Cloth Parts Detection<\/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\/2019teamf\/team-members\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Team Members - Deep Slope Estimation with Formal Verification & Cloth Parts Detection\" \/>\n<meta property=\"og:description\" content=\"Yujia Chen\u00a0\u00a0 LinkedIn\u00a0\u00a0\u00a0|\u00a0Homepage MSCV Student, CMU E-mail: yujiac2@andrew.cmu.edu       Responsibility: Develop normal estimation models and apply on the real world point cloud; apply weight pruning to do model compression. 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