Mark He Huang — accepted AI-conference papers

2026

Physical Simulator In-the-Loop Video Generation

Lin Geng Foo, Mark He Huang, Alexandros Lattas, Stylianos Moschoglou, Thabo Beeler, Christian Theobalt

CVPR 2026

Recent advances in diffusion-based video generation have achieved remarkable visual realism but still struggle to obey basic physical laws such as gravity, inertia, and collision. Generated objects often move inconsistently across frames, exhibit implausible dynamics, or violate physical constraints

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2025

OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects

Mark He Huang, Lin Geng Foo, Christian Theobalt, Ying Sun, De Wen Soh

NeurIPS 2025spotlight

Free-moving object reconstruction from monocular video remains challenging, particularly without reliable pose or depth cues and under arbitrary object motion. We introduce OnlineSplatter, a novel online feed-forward framework generating high-quality, object-centric 3D Gaussians directly from RGB fr…

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2023

Meta Compositional Referring Expression Segmentation

Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu

CVPR 2023poster

Referring expression segmentation aims to segment an object described by a language expression from an image. Despite the recent progress on this task, existing models tackling this task may not be able to fully capture semantics and visual representations of individual concepts, which limits their…

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