Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.
Abstract: There are two mainstream approaches for object detection: top-down and bottom-up. The state-of-the-art approaches are mainly top-down methods. In this paper, we demonstrate that bottom-up ...
Abstract: Human-Object Interaction (HOI) detection aims to infer interactions between humans and objects, and it is very important for scene analysis and understanding. The existing methods usually ...
One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency(CVPR highlight 2025)
This project offers the Canonical Objaverse Dataset, created using the methods outlined in the paper "One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency." Additionally, ...
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