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cs.CV2026

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation

Yujia Cai, Boxuan Li, Chenghao Xu +1

Query-based image retrieval (QBIR) requires retrieving relevant images given diverse and often stylistically heterogeneous queries, such as sketches, artworks, or low-resolution pr…

cs.CV2026

Beyond Global Alignment: Fine-Grained Motion-Language Retrieval via Pyramidal Shapley-Taylor Learning

Hanmo Chen, Guangtao Lyu, Chenghao Xu +3

As a foundational task in human-centric cross-modal intelligence, motion-language retrieval aims to bridge the semantic gap between natural language and human motion, enabling intu…

cs.CV2026

Past- and Future-Informed KV Cache Policy with Salience Estimation in Autoregressive Video Diffusion

Hanmo Chen, Chenghao Xu, Xu Yang +2

Video generation is pivotal to digital media creation, and recent advances in autoregressive video generation have markedly enhanced the efficiency of real-time video synthesis. Ho…

cs.CV2026

Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated

Muli Yang, Gabriel James Goenawan, Henan Wang +7

Despite being trained on balanced datasets, existing AI-generated image detectors often exhibit systematic bias at test time, frequently misclassifying fake images as real. We hypo…

cs.CV2026

Towards Interpretable Hallucination Analysis and Mitigation in LVLMs via Contrastive Neuron Steering

Guangtao Lyu, Xinyi Cheng, Qi Liu +5

LVLMs achieve remarkable multimodal understanding and generation but remain susceptible to hallucinations. Existing mitigation methods predominantly focus on output-level adjustmen…

cs.CV2025

Towards Arbitrary Motion Completing via Hierarchical Continuous Representation

Chenghao Xu, Guangtao Lyu, Qi Liu +3

Physical motions are inherently continuous, and higher camera frame rates typically contribute to improved smoothness and temporal coherence. For the first time, we explore continu…