{"id":27,"date":"2019-04-25T02:37:17","date_gmt":"2019-04-25T02:37:17","guid":{"rendered":"http:\/\/mscvprojects.ri.cmu.edu\/2019teaml\/?page_id=27"},"modified":"2019-11-27T03:27:16","modified_gmt":"2019-11-27T03:27:16","slug":"team","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2019teaml\/team\/","title":{"rendered":"Team"},"content":{"rendered":"

Team Name<\/h1>\n

NEA<\/p>\n

Team Members<\/h1>\n

\"\"Chang Gao<\/strong><\/p>\n

MSCV Student,\u00a0<\/em>CMU<\/em><\/p>\n

Responsibility: (1) Power lines: Develop 3D semantic segmentation pipeline (PointNet++), including training, testing, and visualization code with TensorFlow and Open3D; process point cloud data. (2) Aircraft: Develop object detection pipeline (CenterNet),\u00a0including training, testing, and visualization code with Pytorch. (3) Maintain project website.<\/p>\n

Chang is\u00a0an active AI researcher specialized in deep learning and computer vision, with three years of research experience and three papers published. He is currently\u00a0co-oping at Near Earth Autonomy as a computer vision engineer, and he has just\u00a0finished his internship\u00a0at Waymo (Google self-driving car)\u00a0as a computer vision and machine learning researcher. He will return to Waymo as a software engineer in January 2020.<\/span><\/p>\n

 <\/p>\n

\"\"Anshuman Majumdar<\/strong><\/p>\n

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

Responsibility: (1) Power lines: Develop 3D semantic segmentation pipeline (Superpoint Graphs), including training, testing, and visualization code with PyTorch and Plyfile; process point cloud data.\u00a0(2) Aircraft:\u00a0 Initial data research; study on unsupervised methods for defect detection. (3) Maintain the GPU server.<\/p>\n

Anshuman’s passion for research and development lies in the confluence of Computer Vision, Machine Learning (especially Deep Learning) and Artificial Intelligence, and he aspires to create intelligent systems that can perceive the world as effortlessly as humans do. He has extensive experience (over three years) in research, design, and implementation of Computer Vision and Machine Learning algorithms, on mobile platforms and servers, having worked on projects related to Detection, Tracking and Localization for Autonomous Driving, SLAM and Tracking for Augmented and Virtual Reality, General Object Detection, Tracking and Pose Estimation, Character Recognition and Analysis of Handwritten Documents, among others.<\/p>\n

Advisor<\/h1>\n

\"\"<\/p>\n

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

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

Responsibility: Advising project.<\/p>\n

(Following contents and profile photo are copied from David’s homepage<\/a>)<\/p>\n

 <\/p>\n

I am an assistant professor at CMU in the\u00a0Robotics Institute<\/a>. Prior to my appointment at CMU, I worked as a post-doc at UC Berkeley with\u00a0Pieter Abbeel<\/a>\u00a0on deep reinforcement learning for object manipulation. I completed my Ph.D. in computer science at Stanford working with\u00a0Sebastian Thrun<\/a>\u00a0and\u00a0Silvio Savarese<\/a>\u00a0on perception for self-driving cars. I also have a B.S. and M.S. in mechanical engineering from MIT.<\/p>\n","protected":false},"excerpt":{"rendered":"

Team Name NEA Team Members Chang Gao MSCV Student,\u00a0CMU Responsibility: (1) Power lines: Develop 3D semantic segmentation pipeline (PointNet++), including training, testing, and visualization code with TensorFlow and Open3D; process point cloud data. (2) Aircraft: Develop object detection pipeline (CenterNet),\u00a0including training, testing, and visualization code with Pytorch. (3) Maintain project website. Chang is\u00a0an active AI … <\/p>\n

Continue reading “Team”<\/span><\/a><\/p>\n","protected":false},"author":56,"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 - Visual Inspection for Aircraft & Power Lines<\/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\/2019teaml\/team\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Team - Visual Inspection for Aircraft & Power Lines\" \/>\n<meta property=\"og:description\" content=\"Team Name NEA Team Members Chang Gao MSCV Student,\u00a0CMU Responsibility: (1) Power lines: Develop 3D semantic segmentation pipeline (PointNet++), including training, testing, and visualization code with TensorFlow and Open3D; process point cloud data. (2) Aircraft: Develop object detection pipeline (CenterNet),\u00a0including training, testing, and visualization code with Pytorch. (3) Maintain project website. 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