About me
"TLDR: Face is Huge and Talk is Cheap, Why not show Publications?"I am a Master student at Robotics Institute, School of Computer Science at Carnegie Mellon Univeristy, advised by Prof. Deva Ramanan. The topic of my proposed master thesis is: 4D Free-view Synthesis in Human-centric Dynamic Scene Reconstruction.
Prior to CMU, I obtined my B.Eng. with Honours in EEE from University of Edinburgh (UoE), where I focused on counterfactual estimation in Causality in Healthcare AI Hub. During UG, I also worked with Prof. Sebastian Scherer and Prof. Chen Wang in AirLab at CMU RI. After graduation I visited BAIR focus on reinforcement learning as 1/7 summer research intern (visa got checked) in University of California, Berkeley.
I mainly work in machine learning, computer vision, and robotics, but the concrete research varies [details]. I have a broad interest in understanding (and debiasing) foundation models and their practical applications. If any of these topics interest you, feel free to drop me an email for collaboration.
Education
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Master in Computer Vision
Dec. 2024Carnegie Mellon University, Pittsburgh, USA
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B.Eng. of Electrical and Electronics Engnieering
Jul. 2023University of Edinburgh, UK
Research Statement
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I am interested in effectively combining visual intelligence with robotics. I regard vision as a cornerstone for understanding and interacting with our environment. We live in a dynamic 4D world, constantly seeing, understanding, and interacting with objects and environments. How can we perceive and understand a complex 4D world from video, like humans do? Or even more, how can we make decisions based on it? By enabling robots to observe, understand, and interact with their environment, my research aims to bridge the gap between perception and action, bringing machines closer to seamless integration with the world. Currently, my research focuses on the first half—visual perception.
