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Anh Pham

2 accepted papers

2025

Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance

AAAI 2025technical

Accurate prediction of 3D semantic occupancy from 2D visual images is vital in enabling autonomous agents to comprehend their surroundings for planning and navigation. State-of-the-art methods typically employ fully supervised approaches, necessitating a huge labeled dataset acquired through expensi…

Cited by 0SourcePDFScholar
2015

Multi-instance multi-label learning in the presence of novel class instances

ICML 2015poster

Multi-instance multi-label learning (MIML) is a framework for learning in the presence of label ambiguity. In MIML, experts provide labels for groups of instances (bags), instead of directly providing a label for every instance. When labeling efforts are focused on a set of target classes, instances…

Cited by 54SourcePDFScholar