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20232026
most citedSelf-Attention and Hybrid Features for Replay and Deep-Fake Audio Detection

4 citations · 17 across the 63 of their papers we have counts for

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51 papers · 1 filter

cs.CV2026

EditaLive! Unified Character Video Editing for Live Streaming

Zhiyuan Li, Chi-Man Pun, Peng-Tao Jiang +2

Conventional video editing primarily focuses on scene-level content, whereas live streaming places greater emphasis on the human subject. However, directly applying existing video-…

cs.CV2026

Fast Test-Time Refinement for Robust Learned Image Compression

Jiaming Liang, Chi-Man Pun, Weisi Lin

Learned image compression (LIC) has demonstrated remarkable rate-distortion (RD) performance in benign settings. However, the high representational capacity endowed by deep neural…

cs.CV2026

TIGA: Trajectory-Injected Generative Attack against Black-box AIGC Detectors

Xia Du, Zhuosen Bao, Zheng Lin +4

Recent diffusion models have achieved remarkable realism in facial image synthesis, posing growing challenges to artificial intelligence-generated content (AIGC) forensic detectors…

cs.CV2026

Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression

Jiaming Liang, Chi-Man Pun, Weisi Lin +1

Learned image compression (LIC) integrates deep neural networks (DNNs) to map high-dimensional images into compact latent representations, reducing redundancy and achieving superio…

cs.CV2026

TopoMamba: Topology-Aware Scanning and Fusion for Segmenting Heterogeneous Medical Visual Media

Fuchen Zheng, Chengpei Xu, Long Ma +10

Visual state-space models (SSMs) have shown strong potential for medical image segmentation, yet their effectiveness is often limited by two practical issues: axis-biased scan orde…

cs.CV2026

Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification

Weiwei Zhuang, Wangze Xie, Qi Zhang +9

Adversarial attacks pose a severe threat to the reliability of deep learning models in remote sensing (RS) image classification. Most existing methods rely on direct pixel-wise per…