arXiv:2607.15517v1 Announce Type: new Abstract: Four-finger SLAP fingerprints are flat live-scan impressions of the index, middle, ring, and little fingers of one hand, used for identity…
arXiv:2510.05509v3 Announce Type: replace Abstract: Diffusion models are powerful deep generative models, but unlike classical models, they lack an explicit low-dimensional latent space that parameterizes the…
arXiv:2607.15512v1 Announce Type: new Abstract: Attacks on general computer vision algorithms are often relegated to the digital domain, with the optimization performed purely in the digital…
arXiv:2607.15951v1 Announce Type: cross Abstract: We present the first implementation of a 3D Gaussian renderer on an Intelligence Processing Unit (IPU), comprising 1,472 independent tiles with…
arXiv:2607.15509v1 Announce Type: new Abstract: We present a fully automated closed-loop AutoML framework that uses GPT-5, GPT-4o, and Claude Sonnet 4 as autonomous neural architecture designers…
arXiv:2607.16193v1 Announce Type: new Abstract: Multimodal large language models have achieved strong performance across diverse vision-language tasks, yet their capabilities in UAV scenarios remain insufficiently explored.…
arXiv:2607.15491v1 Announce Type: new Abstract: Cross-view geo-localization matches ground-level observations against geo-tagged satellite imagery. Recent methods show that sequential queries such as video clips yield richer…
arXiv:2607.16105v1 Announce Type: new Abstract: Understanding how vision-language models (VLMs) interpret data visualizations remains an open problem, and is increasingly important as these models are used…
arXiv:2607.15416v1 Announce Type: new Abstract: Reliable AI for screening mammography requires training data representative of the low cancer prevalence and subtle abnormalities found in screening populations.…
arXiv:2602.05081v2 Announce Type: replace-cross Abstract: Gaussian-based representations have enabled efficient physically-based volume rendering at a fraction of the memory cost of regular, discrete, voxel-based distributions. However,…
arXiv:2607.15331v1 Announce Type: new Abstract: Generalized few-shot 3D point-cloud segmentation (GFS-PCS) asks a model to segment a scene into many base classes seen at training time…
arXiv:2607.15374v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) ground whole objects well from free-form language queries, but they struggle when the query names a…
arXiv:2607.15396v1 Announce Type: new Abstract: Multi-contrast 3D MRI segmentation can be computationally demanding when all available sequences are used. We evaluate a pre-training Partial Information Decomposition…
arXiv:2607.15401v1 Announce Type: new Abstract: High-quality, large-scale paired data is essential for training learning-based image deblurring models. However, synthetic blurry images generally lack realism, while real-world…
arXiv:2607.15400v1 Announce Type: new Abstract: Falls among older adults are a major safety challenge, but continuous monitoring is difficult to sustain. Video captures fall-related posture and…
arXiv:2607.16181v1 Announce Type: new Abstract: This study introduces a vision-language pipeline that detects risky driving behaviors and generates emotionally expressive responses to support driver awareness and…
arXiv:2607.15410v1 Announce Type: new Abstract: Our study provides evidence that CNNs struggle to extract orientation features effectively. We show that using the Complex Structure Tensor, which…
arXiv:2607.16146v1 Announce Type: cross Abstract: Vision and touch are complementary modalities essential for robotic perception and manipulation. While vision provides global object context, touch offers precise…
arXiv:2607.15421v1 Announce Type: cross Abstract: Compact medical-image classifiers need efficiency and interpretable evidence, yet these goals are often addressed separately. We introduce qZACH-ViT, a quantization-aware extension…
arXiv:2603.27556v2 Announce Type: replace Abstract: Open-Vocabulary Object Detection (OVOD) has achieved remarkable success in generalizing to novel categories. However, this success often rests on the implicit…
arXiv:2512.13636v4 Announce Type: replace Abstract: Current Vision-Language-Action (VLA) paradigms in autonomous driving primarily rely on Imitation Learning (IL), which introduces inherent challenges such as distribution shift…
arXiv:2607.07168v2 Announce Type: replace Abstract: Pose-Free Feed-forward 3D Gaussian Splatting (3DGS) has recently emerged as a powerful paradigm for fast scene reconstruction. However, its performance degrades…
arXiv:2606.18824v2 Announce Type: replace Abstract: Pedestrian trajectory prediction from an on-board ego-centric camera is challenging since it depends on complex interactions with vehicles and scene context,…
arXiv:2606.09421v3 Announce Type: replace Abstract: Large language model agents increasingly rely on skills: reusable procedural documents encoding workflows, tool use, implementation patterns, validation checks, and domain…