{"id":61,"date":"2021-12-10T21:28:48","date_gmt":"2021-12-10T21:28:48","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/2021teamh\/?page_id=61"},"modified":"2021-12-10T23:12:32","modified_gmt":"2021-12-10T23:12:32","slug":"team-member","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2021teamh\/team-member\/","title":{"rendered":"Team Members"},"content":{"rendered":"\n

Cindy Wu<\/h3>\n\n\n\n
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Website: https:\/\/xindiwu.github.io\/<\/a><\/p>\n\n\n\n

I am a second year master student at CMU\u2019s Master of Science in Computer Vision program. During my undergrad, I was in Computer Science major (Special program for gifted young program) in Xi\u2019an Jiaotong University. My research interest is in Multimodal machine learning, Trustworthy\/Robust machine learning and their application in autonomous driving \/ robots. I had research internship in Megvii(Face++) and Snap Inc. before.<\/p>\n\n\n\n

Project responsibilities: Defined the new task and benchmark for map maintenance, evaluating both fidelity and generalization. Leveraged the Argoverse dataset to define a comprehensive and rigorous set of evaluation criteria.
Proposed a contrastive cross-modal approach to dynamic street map construction from camera data. Trained the graph encoder and image encoder with a shared latent space building on recent advances in multimodal representation learning.<\/p>\n\n\n\n

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

Kwun Fung(Raymond) Lau<\/h3>\n\n\n\n
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Linkedin: https:\/\/www.linkedin.com\/in\/kflau\/<\/a><\/p>\n\n\n\n

I am a second year student at CMU’s Master of Computer Vision program. I received my bachelor’s degree from The Hong Kong Polytechnic University. Before joining the master program, I worked as an algorithm design engineer in the Hong Kong Applied Science and Technology Research Institute for 3 years.<\/p>\n\n\n\n

My previous works mainly focus on applied research (i.e. applying computer vision algorithms to solve a use case and to optimize them on a Neural Processing Unit). I am comfortable in programming using C++ (11\/14) and Python.<\/p>\n\n\n\n

Project responsibilities: Survey sequential based approaches for graph generations(including GraphRNN, molecularRNN, HDMapGen etc), explore the limitations of the current existing sequential based approaches, metrics implementation, dataset\/results visualizations and miscellaneous tasks.<\/p>\n\n\n\n

Professor Deva Ramanan <\/h3>\n\n\n\n
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Academic supervisor of this capstone project. Deva is a CMU RI Professor and is a principle scientist at Argo AI and the director of the CMU Argo AI Center for Autonomous Vehicle Research.<\/p>\n\n\n\n

Dr. Francesco Ferroni<\/h3>\n\n\n\n
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Industrial supervisor of this capstone project. Francesco is a Software Engineering Manager II of Detection team at Argo AI.<\/p>\n","protected":false},"excerpt":{"rendered":"

Cindy Wu Website: https:\/\/xindiwu.github.io\/ I am a second year master student at CMU\u2019s Master of Science in Computer Vision program. 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