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20232026
most citedMeta Compositional Referring Expression Segmentation

2 citations · 3 across the 4 of their papers we have counts for

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cs.CV2026

DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding

Zhengbo Zhang, Mark He Huang, Zhigang Tu +1

Zero-shot video temporal grounding (VTG) localizes events in untrimmed videos from natural language queries without task-specific training. Existing methods rely on frame-query fea…

cs.CV2026

Physical Simulator In-the-Loop Video Generation

Lin Geng Foo, Mark He Huang, Alexandros Lattas +3

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.…

cs.CV2025

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

Mark He Huang, Lin Geng Foo, Christian Theobalt +2

Free-moving object reconstruction from monocular video remains challenging, particularly without reliable pose or depth cues and under arbitrary object motion. We introduce OnlineS…

cs.CV2025

Unified Prompt Attack Against Text-to-Image Generation Models

Duo Peng, Qiuhong Ke, Mark He Huang +2

Text-to-Image (T2I) models have advanced significantly, but their growing popularity raises security concerns due to their potential to generate harmful images. To address these is…

cs.CV2023★ 2 cited

Meta Compositional Referring Expression Segmentation

Li Xu, Mark He Huang, Xindi Shang +3

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 thi…