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PyTorch code and models for the DINOv2 self-supervised learning method.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Segment Anything in Medical Images
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
Segment Anything 2 for Surgical Video Segmentation
[SIGGRAPH'24] A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose
Scikit-learn compatible decision trees beyond those offered in scikit-learn
Ongoing project. Detecting blind spots on colonoscopic surfaces.