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portfolio
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publications
Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates
Published in The Thirty-Ninth Annual Conference on Neural Information Processing Systems(NeurIPS), Spotlight, 2025
FCM is a training-free, likelihood-guided diffusion update that auto-tunes step sizes via forward-mode autodiff and curvature probes, enabling fast, stable 3D point-cloud reconstruction from single/multi-view inputs. OpenReview · Project page · Code
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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