29.10.2025
CSG-Fusion Wins Best Paper at ICCV 2025 Workshop
Award-Winning Work by MCML Director Daniel Cremers and Junior Members Wenbo Ji and Weirong Chen
The paper “CSG-Fusion: Consistent Sparse-View Gaussian Splatting via Matching-based Fusion” by MCML Director Daniel Cremers and Junior Members Wenbo Ji and Weirong Chen, together with Yan Xia, received the Best Paper Award at the ICCV 2025 Workshop on End-to-End 3D Learning.
CSG-Fusion reduces redundant Gaussian representations in pixel-aligned pointmaps for compact, consistent 3D reconstructions using a matching prior, mask-based feature aggregation, and context-view supervision.
Congratulations to the team on this outstanding achievement!
Related
13.11.2025
Explaining AI Decisions: Shapley Values Enable Smart Exosuits
AI meets wearable robotics: MCML and Harvard researchers make exosuits smarter and safer with explainable optimization, presented at ECML-PKDD 2025.
©Gorodenkoff-stock.adobe.com
03.11.2025
Research on Human-Centred Exosuit Technology Highlighted in Börsen-Zeitung
Julian Rodemann worked with Harvard on interpretable algorithms for “Back Exosuits,” improving human–machine interaction.
02.11.2025
MCML at EMNLP 2025
MCML researchers are represented with 39 papers at EMNLP 2025 (18 Main, 13 Findings, and 8 Workshops).
