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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.
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Newest papers, page 97
RoboJudge: Multimodal Language Models as Judges for Embodied Video Generation
Video generation models are promising foundations for embodied world models, but only if their generated rollouts are physically valid and faithful to task instructions.Decoupled Representation Learning for Face Presentation Attack Detection under Smart Glass Capture
Face presentation attack detection is typically studied under fixed camera or handheld acquisition, whereas smart glass capture introduces a more challenging setting with ego motion, changing…GARRET: Generative Feedback for Region Retrieval in Visual Documents
Multimodal retrieval-augmented generation over visually rich documents requires evidence at a finer granularity than entire pages.From Generic to Dedicated: A Novel Optimizer for Online Continual Learning
Online Continual Learning (OCL) requires models to learn from non-stationary data streams under a strict single-pass constraint, making them highly susceptible to catastrophic forgetting.LaLa-World: Scaling Latent World Models with Natural Language Actions
This paper shows that JEPA-style latent world models (LWMs) can learn across diverse domains and data sources by adopting the language-conditioned interface of video generation models.Manifold Prior Guided Deep Unfolding for Hyperspectral Image Reconstruction
Hyperspectral Image (HSI) reconstruction has made substantial progress with the deep unfolding framework by decomposing the problem into a projection module and a denoiser module.Gaze2HOI: Gaze-Aware Intention Disambiguation for Egocentric Hand-Object Interaction Forecasting
Anticipating how users will interact with their surroundings is essential for proactive systems that provide timely assistance in AR, VR, and embodied applications.S$^3$E-Det: A Strict Spatial-Spectral Equivariant Detector for Multispectral Object Detection
Multispectral object detection requires detectors to exploit material-dependent spectral responses while maintaining consistent localization under geometric variations.SGLDet: Spectral-aware Global-Local Dynamic Modeling for Multispectral Aerial Object Detection
Multispectral aerial object detection aims to exploit spectral-spatial cues to address object detection challenges in complex aerial scenes.EndoWorld-JEPA: Motion-Guided Global-Local Latent World Modeling for Endoscopic Video Representation Learning
Endoscopic video contains state transitions induced by camera displacement, deformable tissue, and instrument interaction, yet existing pre-training methods treat dynamics implicitly.Testing Associative Creativity in Humans and Multimodal LLMs with Difficult-to-Name Visual Stimuli
We investigate associative creativity in descriptions of abstract visual stimuli by humans and multimodal large language models (MLLMs).Staged Continual Adaptation of Multimodal Foundation Models for Japanese Financial Documents
Staged post-training of multimodal foundation models chains vision-language alignment, reasoning distillation, and domain tuning, yet how each phase trades capabilities against the others remains…ICIBS: Increasing the Context for Ice Boundary Segmentation
Mountain glaciers and ice sheets are undergoing rapid loss of ice mass.World Models with Configurable Perception
Real-world observations are noisy and often contain excessive task-irrelevant information.In PRAISE of Attributes: Grounding Retrieval Geometry with Query-Conditioned Subspaces for Person Re-Identification
Person re-identification (ReID) ranks an image gallery using either an image query or a textual query.Decoupling Action from Egocentric Observation for World Simulation
Egocentric action transfer aims to decouple the semantic action from egocentric observations and reproduce them in new visual contexts, enabling scalable world simulation, embodied policy learning…Edit in Sync: Unified End-to-End Audio-Visual Editing for Human-Centric Videos
Human-centric audio-visual editing requires precise alignment of lip movements, gestures, and expressions with speech.From Proper Scoring Rules and Edge Biases to Mumford-Shah Models: Robust Unsupervised Hyperspectral Image Segmentation
Hyperspectral images provide a rich representation of the underlying spectrum for each pixel, allowing for a pixel-wise classification/segmentation into different classes.Efficient SAM3 Adaptation for Multi-Class Semantic Segmentation via Dense Competitive Representations
The Segment Anything Model 3 (SAM3) has achieved significant progress in Promptable Concept Segmentation (PCS) by processing short noun phrases to generate segmentation masks with unique instance…Media Intelligence Platform: Multimodal Detection of Synthetic and Manipulated Content
The rapid progress of generative artificial intelligence has led to a significant increase in manipulated multimedia content, including synthetic faces, forged videos, AI-generated images, fake…