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Chi-Man Pun

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Oct 2026

Dual Uncertainty-Aware Guidance for Test-Time Visual Retrieval Under Distributional Variations.

Visual retrieval systems remain highly vulnerable to test-time distribution shifts caused by corruption, degradation, and environmental changes. Unlike classification, retrieval-time adaptation must preserve ranking consistency in a similarity space, where the dominant failure mode is not only inaccurate prediction con...

Yuan-Peng He, Li-Jian Li, Lin-Yu Li et al. · 0 citations
Sep 2026

Controllable Music-to-Dance Generation with Hierarchical Motion Representation Learning.

Current music-to-dance generation methods mainly rely on musical features, limiting precise control over generated movements. In particular, most existing methods with control mechanisms do not support example-based control, in which a user provides a reference motion sequence and the generated dances follow its fine-g...

Meng-Qi Liu, Hao Gao, Haolun Li et al. · 0 citations
#artificial intelligence Preprint Sep 2026

GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay

The GameHorizon Suite, a unified data and evaluation suite that measures gameplay capabilities at different horizons for diverse model families, can provide a standardized yardstick for evaluating gameplay capabilities across horizons and model families.

Yi-Ran Wang, Xingyilang Yin, Junfu Pu et al. · 0 citations
Preprint Aug 2026

An Interactive Agent for Requirement-Driven Candidate Sourcing

This work argues that finding people from a natural-language description is fundamentally a requirements engineering task: such a request is an under-determined requirement with implicit constraints, many valid answers, and no acceptance criterion, so useful answers require eliciting, validating, and verifying the requ...

Yuan-Peng He, Fang-Chen Li, Xiang-Yu Ru et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Multimodal Resource-Exhaustion Attacks on Vision-Language Models via Joint Pixel-Prompt Optimization

Resource-exhaustion attacks against autoregressive vision-language models (VLMs) typically assume unimodal threat models, treating the image branch as the primary optimization surface while holding user-visible prompts fixed. Even recent loop-centric variants remain confined to this single-channel paradigm, leaving the...

Zhao-Xiong Ni, Ya-Tie Xiao, Chi-Man Pun et al. · 0 citations
Preprint Aug 2026

ETHead: Generating Expressive 3D Facial Animation and Head Movement from Speech

A self-distillation framework that leverages large-scale 2D talking videos to pre-train a specialized speech encoder that aligns speech representations with expressive visual dynamics, allowing the encoder to extract features highly correlated with facial and head motions directly from audio.

Jiu-Cheng Xie, Ji-Wang Zheng, Yongkang Xia et al. · 0 citations
Aug 2026

Interpretation Before Integration: LLM-Guided Multimodal Completion and Fusion Network for Survival Analysis With Incomplete Data

Multimodality survival analysis for nasopharyngeal carcinoma (NPC) holds great potential for improving prognosis prediction and clinical decision-making. However, it is challenged by structural and semantic misalignments across heterogeneous data. Structural misalignment arises from incomplete clinical records, where m...

Fen Ling, Haoming Zeng, Ming Li et al. · 0 citations
Preprint Aug 2026

EditaLive! Unified Character Video Editing for Live Streaming

Conventional video editing primarily focuses on scene-level content, whereas live streaming places greater emphasis on the human subject. However, directly applying existing video-editing methods to human-centric live streaming remains challenging, as they may introduce facial-expression inconsistencies and typically d...

Zhiyuan Li, Chi-Man Pun, Peng-Tao Jiang et al. · 0 citations
Preprint Aug 2026

Fast Test-Time Refinement for Robust Learned Image Compression

This study reveals an Asymmetric Adversarial Trajectory (AAT) property in LIC systems: transitioning from adversarial to benign regions is significantly easier than the reverse process, where adversarial examples can often be roughly recovered within only 1-2 steps.

Jia-Ming Liang, Chi-Man Pun, Weisi Lin · 0 citations

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