Showing papers from the Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University Show all papers
Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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MoSE3 predicts dense per-pixel world-space SE(3) motion from monocular video via point tracks and rigidity embeddings, achieving state-of-the-art 6-DoF estimation and 3D tracking.
Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face
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SceneAligner localizes images in large-scale floorplans by aligning 3D-reconstructed density proxies via adapted 2D foundation model correspondences, improving accuracy with sparse inputs.
Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 5 on Hugging Face · Code ★ 33
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