AI & Machine Learning · Computer Science & AI
Computer Vision
The newest papers in Computer Vision that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 29 September 2026 to 5 November 2026: 4,999 arXiv preprints and 1 OpenAlex record.
Get the few papers worth your time in Computer Vision every morning.
Follow Computer Vision and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 54
Evaluating Visual Realism of AI-Generated Videos with Eye Tracking
Human evaluation of AI-generated videos has so far relied on explicit human feedback, such as judgments or ratings.Beyond Region Memory: Local Point Tracking for Vocal Cord Localization in Video Laryngoscopy
Reliable vocal-cord localization in emergency video laryngoscopy remains visually challenging due to rapid tissue deformation, specular highlights, and instrument occlusions.OneScene-Bench: Do Vision-Language Models Integrate Evidence Across Views?
Vision-language models (VLMs) increasingly process multiple views of the same scene, but it remains unclear whether they integrate these observations into a coherent scene-level representation.GradSplat: Gradients Inside the Forward Pass for Feed-Forward 3D Gaussian Splatting
Feed-forward 3D Gaussian Splatting predicts a scene from a few images, but our predictor is less accurate than its own Gaussians optimized per scene on those images.What do MLLMs know about 'Waldo'? Evaluating Visual Reasoning under Multi-Instance Multi-Object Challenges
Recent advances in Multimodal Large Language Models (MLLMs) have led to significant progress in visual reasoning capabilities.AlbumVSR: Identity-Preserving Face Video Super-Resolution from a Personal Photo Album
Severe blur, downsampling, noise, and compression can erase the identity cues needed to faithfully restore a person's face.Fed-IGTD: A federated learning-based framework for tabular-to-image encoding
Tabular-to-image encoding methods, which transform tabular data into image-like representations, have shown promising results in predictive tasks.The Search for Statistical Indistinguishability Between Real and Fake Images
Images produced by generative models appear strikingly similar to real ones.LightGenBench: A Benchmark for 3D Emission Generation
Recent generation methods produce 3D assets with detailed geometry and rich textures.A New Formulation of the Elastica Model with Application to Image Inpainting
Curves and interfaces play a central role in computer vision and image processing, and Euler's elastica energy is one of the most successful tools to model and manipulate them.SpatialVec: A Unified Representation Learning Framework for Geospatial Objects with Boundary-Aware Sampling
Spatial representation learning is essential for Geospatial Artificial Intelligence (GeoAI) applications, enabling machine learning models to capture the geometry, location, and spatial…Predicting Cognitive Profiles from Structural MRI using Spatial Graph Representation Learning
Predicting cognitive abilities from structural neuroimaging remains challenging due to the high dimensionality and geometric complexity of brain morphology.Brain-Behavior Modeling from Multimodal MRI using Opportunistic Pretraining and Common-Cohort Adaptation
Incomplete imaging coverage limits sample sizes for multimodal cognitive prediction.SO-101 Bench: Accessible Spatial Manipulation
Low-cost arms such as the SO-101 have become the most common entry point to robot learning, yet no released policy performs spatially constrained, language-conditioned tasks on them out of the box…FORESEE-MS: Toward Prospective Spatial Forecasting of Future Multiple Sclerosis Lesions from Baseline FLAIR MRI
Traditional multiple sclerosis (MS) image analysis has primarily focused on retrospectively detecting and segmenting lesions.A Heart Means Recursion: Exploring Visual Meaning and Communication in VLMs
Do vision-language models (VLMs) share our ability to communicate visually?LociArt: A Unified Paradigm for Free-Style Local Video Stylization
Video stylization typically transforms entire scenes, while local artistic editing requires precise region--style association, spatial control, and temporal consistency.Full Collapse Is Suboptimal: Controlled Partial Neural Collapse for Long-Tailed Recognition
Recent long-tailed recognition (LTR) methods incorporate neural collapse (NC) and align features to a fixed Equiangular Tight Frame (ETF) as a uniform target for all classes.ClusterSplat: Semantic Cluster Selection for 3D Visual Grounding in Gaussian Splatting
We study 3D visual grounding in 3D Gaussian Splatting (3DGS), where a referring expression should identify a target object as both a rendered 2D mask and a set of explicit 3D Gaussians.Nemotron-Labs-Diffusion-Uni: Elastic Self-Refining Unified Diffusion LLM with Cross-Paradigm On-Policy Distillation
We propose Nemotron-Labs-Diffusion-Uni (NLD-Uni), a unified discrete diffusion large language model (DLLM) for visual understanding and generation tasks.