Eric-Tuan Lê is an accomplished AI Research Scientist with experience at Meta, where work focused on training and evaluating models for 3D shape enhancement and multimodal Llama post-training. Prior roles include Research Internships at Snap Inc., contributing to advancements in 3D human mesh recovery, and at UCL, where efforts improved temporal coherence for 4D objects. Additionally, Eric-Tuan serves as a Conference Reviewer for the Computer Vision Foundation, evaluating submissions to leading conferences such as CVPR and NeurIPS. With a Doctor of Philosophy in Computer Vision & Graphics from UCL and a Master of Research in Computer Vision & Machine Learning from ENS Paris-Saclay, Eric-Tuan combines a solid educational background with practical research experience.
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