arXiv:2604.01251v1 Announce Type: new
Abstract: Camouflaged scene understanding (CSU) has attracted significant attention due to its broad practical implications. However, in this field, robust image-text cross-modal alignment remains under-explored, …
arXiv:2512.14870v2 Announce Type: replace
Abstract: Video Large Language Models (Video-LLMs) are improving rapidly, yet current Video Question Answering (VideoQA) benchmarks often admit single-cue shortcuts, under-testing reasoning that must integrate…
arXiv:2604.02105v1 Announce Type: cross
Abstract: Medical imaging aims to recover underlying tissue properties, using inexact (simplified/linearized) imaging models and often from inaccurate and incomplete measurements. Analytical reconstruction metho…
arXiv:2604.01234v1 Announce Type: new
Abstract: Iterative prompt refinement is central to reproducing target images with text to image generative models. Previous studies have incorporated image similarity metrics (ISMs) as additional feedback to huma…
arXiv:2412.04727v2 Announce Type: replace-cross
Abstract: Deep learning-based image denoising techniques often struggle with poor generalization performance to out-of-distribution real-world noise. To tackle this challenge, we propose a novel noise tr…
arXiv:2602.23791v2 Announce Type: replace-cross
Abstract: Accurate focus quality assessment (FQA) in fluorescence microscopy is challenging due to stain-dependent optical variations that induce heterogeneous focus behavior across images. Existing meth…
arXiv:2604.01371v1 Announce Type: new
Abstract: Surgical action automation has progressed rapidly toward achieving surgeon-like dexterous control, driven primarily by advances in learning from demonstration and vision-language-action models. While the…
arXiv:2604.01254v1 Announce Type: new
Abstract: Accurate LiDAR simulation is crucial for autonomous driving, especially under adverse weather conditions. Existing methods struggle to capture the complex interactions between LiDAR signals and atmospher…
arXiv:2604.01264v1 Announce Type: cross
Abstract: Medical imaging techniques, especially Magnetic Resonance Imaging (MRI), are accepted as the gold standard in the diagnosis and treatment planning of neurological diseases. However, the manual analysis…
arXiv:2510.13714v3 Announce Type: replace-cross
Abstract: Video comprises the vast majority of bits that are generated daily, and is the primary signal driving current innovations in robotics, remote sensing, and wearable technology. Yet, the most pow…