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mlmonad

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publications

DeepSmooth - Efficient and Smooth Depth Completion

Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (VOCVALC Workshop), 2023

We propose a model that propagates information efficently for the task of depth completion, enforcing depth consistency spatio-temporally and producing smooth depth maps.

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BG-HOP: A Bimanual Generative Hand-Object Prior

Published in Agent in Interaction, from Humans to Robots workshop at CVPR 2025, 2025

In this work, we present BG-HOP, a generative prior that seeks to model bimanual hand-object interactions in 3D using limited bimanual interaction data and demonstrate preliminary results in capturing the joint distribution of hands and objects.

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