arXiv:2512.10652v3 Announce Type: replace
Abstract: Advances in generative modeling have made it increasingly easy to fabricate realistic portrayals of individuals, creating serious risks for security, communication, and public trust. Detecting such p…
arXiv:2603.27294v1 Announce Type: new
Abstract: 3D occupancy prediction provides dense spatial understanding critical for safe autonomous driving. However, this task suffers from a severe class imbalance due to its volumetric representation, where saf…
arXiv:2512.05597v2 Announce Type: replace
Abstract: Recent perception-generalist approaches based on language models have achieved state-of-the-art results across diverse tasks, including 3D scene layout estimation and 3D object detection, via unified…
arXiv:2603.27290v1 Announce Type: new
Abstract: Law enforcement agencies and non-gonvernmental organizations handling reports of Child Sexual Abuse Imagery (CSAI) are overwhelmed by large volumes of data, requiring the aid of automation tools. However…
arXiv:2512.02369v2 Announce Type: replace
Abstract: Domain generalization for semantic segmentation aims to mitigate the degradation in model performance caused by domain shifts. However, in many real-world scenarios, we are unable to access the model…
arXiv:2603.27268v1 Announce Type: new
Abstract: Masked video modeling (MVM) has emerged as a simple and scalable self-supervised pretraining paradigm, but only encodes motion information implicitly, limiting the encoding of temporal dynamics in the le…
arXiv:2511.23342v3 Announce Type: replace
Abstract: MeanFlow offers a promising framework for one-step generative modeling by directly learning a mean-velocity field, bypassing expensive numerical integration. However, we find that the highly curved g…
arXiv:2603.27264v1 Announce Type: new
Abstract: Recent advances in Computer Vision have significantly improved image understanding and generation, revolutionizing the fashion industry. However, challenges such as inconsistent lighting, non-ideal garme…
arXiv:2511.22264v2 Announce Type: replace
Abstract: Feed-forward reconstruction has been progressed rapidly, with the Visual Geometry Grounded Transformer (VGGT) being a notable baseline. However, directly applying VGGT to autonomous driving (AD) fail…
arXiv:2603.27261v1 Announce Type: new
Abstract: Multi-organ segmentation in medical imaging remains challenging due to large anatomical variability, complex inter-organ dependencies, and diverse organ scales and shapes. Conventional encoder-decoder ar…