About
James Hays is affiliated with Brown University. His research spans Computer Vision, Robotics, 3D Reconstruction, and Image Synthesis.
His recent work focuses on 3D Object Detection (e.g., CoRL 2024), Semantic Scene Flow (e.g., ICLR 2024), and Multimodal Image Generation (e.g., CVPR 2024). He has contributed to datasets like ContactDB and ContactPose for robotic grasp analysis.
Key trends in his publications include 3D Perception, Efficient Neural Architectures, and Cross-modal Learning for autonomous systems. While no explicit scientific awards are listed, his work is frequently published in top-tier venues like CVPR, ECCV, and CoRR.
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