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 85
Inside-JEPA: From Prediction to Relational Grounding in Latent World Models
Joint-embedding predictive architectures (JEPAs) learn world models in latent space, enabling efficient planning but leaving their states opaque.A Visual Grounding Benchmark for Retinal OCT with Multimodal Large Language Models
Multimodal large language models (MLLMs) can answer clinical questions about medical images, but trustworthy use requires visual grounding: models should localize the pathology they report rather…Moving Regions, Not Moving Objects: Segmenting What Actually Moves under Camera Motion
Moving object segmentation is conventionally formulated at the sequence and object level, marking an entire instance as moving once it moves anywhere in a video.GLOW-FM: Efficient Generative Low-Light Image Enhancement with One-Step Latent Flow Matching
Low-light image enhancement (LLIE) aims to recover well-exposed and perceptually faithful images from severely degraded observations.Lightweight Frame Compensation for Real-Time Polyp Segmentation under Frame Skipping
Real-time polyp segmentation in computer-assisted colonoscopy is hampered by the difficulty of deploying high-accuracy models under strict latency budgets.Reinforcing intra-operative tumour localisation with weak supervision from pre-operative appearances
Limited tumour visibility on intra-operative images complicates surgical navigation, including liver hepatocellular carcinoma (HCC) targeting on computed tomography (CT) imaging.ReCoG: Relational Concept Graph for Training-Free Personalization
Training-free personalization adapts a frozen vision-language model (VLM) to recognize user-defined concepts from only a few exemplars by retrieving concept entries at inference time.Retrieval-Augmented Online Textual Memory for Episodic Memory Video Question Answering
Long egocentric videos pose a central challenge for multimodal language models: the visual stream must be compressed into a memory representation that can be searched efficiently while still…RecallGS: Geometry-Grounded Recall for Online Semantic Gaussian Splatting
Online semantic 3D Gaussian Splatting (3DGS) enables open-vocabulary scene understanding from streaming observations.PiHand: Latent Hand-Object Interaction Priors for Physics-Based Policy Learning
Synthesizing physically grounded dexterous hand-object interactions is important for VR/AR, gaming, and robotics, yet remains challenging because subtle contact dynamics, diverse object geometries…Data-Driven Vision-Language Models for Remote Sensing: A Survey
During the deep learning era, innovations in remote sensing (RS) vision models primarily focused on optimizing network architectures for specific tasks and conducting end-to-end training.Stream4D: Streaming 4D Reconstruction with Training-free Motion Decoupling via Causal KV-Cache Attention
4D scene reconstruction requires robust handling of dynamic objects, yet existing streaming methods commonly assume static scenes, leading to pose drift and ghosting artifacts over long sequences.MVLoMa: Multi-View Local Feature Matching with Any Geometry Foundation Model
Local feature matching is typically formulated for image pairs, although structure-from-motion and visual localization commonly match one reference image against many retrieved or covisible…WeVisOne-VL: Unified Visual Perception from Objects to Pixels
Existing vision-language models (VLMs) remain unreliable for fine-grained visual perception.A Task-Centric Survey of Long-Document Visual Question Answering: Taxonomy, Evolution, and Future Directions
Visual document understanding is essential for acquiring knowledge from visually rich documents and is attracting growing research interest.A Sparse Topometric Graph for Scalable Cross-Session Indoor Navigation
A conventional embodied agent in an indoor environment builds a map by accumulating noisy real-world measurements and results from heavy inference to guide navigation.MixPT: Point Transformer with Interleaved Window and Global Attention
Point cloud transformers aim to capture detailed local geometry and relationships across a scene at a manageable computational cost.AnyGameRenderer: Entity-Consistent Generative Rendering Across Games and an Entity-Level Benchmark
AI coding agents can now build small playable games in minutes, but the results usually look like programmer art: gray blockouts, colored geometric primitives, and flat semantic blobs.Ask About the Right Moment: Training-Free Object Identity Reasoning for Video-Language Models
Many questions about a video concern one physical object.MoG-VLM: Efficient Video Anomaly Detection through Motion-Guided Vision-Language Models
Vision-Language Models (VLMs) have shown strong potential for video anomaly detection, but dense frame-level inference makes them impractical for real-time deployment.