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20242026
most citedHigh-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer

3 citations · 6 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

Representing short-term movement to reveal animal identity and learning progress

Ping Zhang, Quang-Huy Nguyen, Yingtie Lei +5

How learning progresses over time and varies across individuals is a longstanding question in cognitive and behavioral science. However, a major challenge is identifying observable…

cs.LG2026

Ontic state recovery through prediction

Ping Zhang, Quang-Huy Nguyen, Yingtie Lei +1

We encounter a system through its responses, yet its state concerns how the system is. Predicting further responses promises knowledge beyond what is immediately observed. What tha…

cs.CV2026

Probing Identity-Specific Motion Signatures: A Controlled Diagnostic Study

Yingtie Lei, Fangxun Liu, Baicheng Wu +13

Identity recognition (e.g., person, animal re-identification) has traditionally relied heavily on static appearance cues. Yet motion--consistent, individual-specific dynamics--can…

cs.LG2026

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Jingxuan Zhang, Yunta Hsieh, Zhongwei Wan +5

Vision-language-action (VLA) models unify perception, language, and control for embodied agents but face significant challenges in practical deployment due to rapidly increasing co…

cs.CV2026

ProMist-5K: A Comprehensive Dataset for Digital Emulation of Cinematic Pro-Mist Filter Effects

Yingtie Lei, Zimeng Li, Chi-Man Pun +3

Pro-Mist filters are widely used in cinematography for their ability to create soft halation, lower contrast, and produce a distinctive, atmospheric style. These effects are diffic…