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cs.CV2026

Streamlined Open-Vocabulary Human-Object Interaction Detection

Chang Sun, Dongliang Liao, Changxing Ding

Open-vocabulary human-object interaction (HOI) detection aims to localize and recognize all human-object interactions in an image, including those unseen during training. Existing…

cs.CV2026

ViHOI: Human-Object Interaction Synthesis with Visual Priors

Songjin Cai, Linjie Zhong, Ling Guo +1

Generating realistic and physically plausible 3D Human-Object Interactions (HOI) remains a key challenge in motion generation. One primary reason is that describing these physical…

cs.CV2025

Democratizing High-Fidelity Co-Speech Gesture Video Generation

Xu Yang, Shaoli Huang, Shenbo Xie +3

Co-speech gesture video generation aims to synthesize realistic, audio-aligned videos of speakers, complete with synchronized facial expressions and body gestures. This task presen…

cs.CV2025

Bilateral Collaboration with Large Vision-Language Models for Open Vocabulary Human-Object Interaction Detection

Yupeng Hu, Changxing Ding, Chang Sun +2

Open vocabulary Human-Object Interaction (HOI) detection is a challenging task that detects all <human, verb, object> triplets of interest in an image, even those that are not pre-…

cs.CV2025

Guiding Human-Object Interactions with Rich Geometry and Relations

Mengqing Xue, Yifei Liu, Ling Guo +2

Human-object interaction (HOI) synthesis is crucial for creating immersive and realistic experiences for applications such as virtual reality. Existing methods often rely on simpli…

cs.CV2025

Effortless Active Labeling for Long-Term Test-Time Adaptation

Guowei Wang, Changxing Ding

Long-term test-time adaptation (TTA) is a challenging task due to error accumulation. Recent approaches tackle this issue by actively labeling a small proportion of samples in each…