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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 186
Juno: Taming Predictive Latents for Vision-Language-Action Models
Joint-embedding predictive architectures (JEPAs) predict masked or future observations in representation space, offering a natural source of predictive latents for vision-language-action (VLA) models.Purifying Backdoored Large Vision-Language Models by Removing Hijacked Directions
Large vision-language models (LVLMs) are increasingly deployed in safety-critical applications, yet they remain vulnerable to backdoor attacks.MSU Team at the Explainable Deepfake Detection Challenge 2026: Grounded Artifact Evidence for Deepfake Detection
Recent advances in generative image models have made many manipulated images highly realistic, raising the need for detectors that are not only accurate but also able to provide visual evidence for…Perceptually Aligned Evaluation of Style Transfer
Style transfer lacks a reliable evaluation standard: ground truth is inherently ill-defined, and existing automatic metrics often fail to reflect human preference.Playing with Kruskal: algorithms for flat and hierarchical watershed cuts
In the framework of edge-weighted graphs, watersheds have proven to be linked to well-known optimization problems, as Minimum Spanning Tree, which allowed the design of efficient algorithms for…Scalable Patch-Level Self-Supervised Learning
Self-supervised learning (SSL) at scale produces powerful visual representations.AdSpark: A Large-Scale Dataset and Benchmark for Product-Centric Advertisement Video Generation
Product-centric advertisement video generation aims to create promotional videos that preserve fine-grained product identity while presenting selling points through coherent multi-shot narratives.From Pixel to Coding: Evaluating the Figure Reproduction Capabilities of MLLMs
Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities in both visual understanding and code generation.Temporal Residual Bottleneck for Robust Asynchronous Collaborative Perception
Collaborative perception extends the sensing range of autonomous vehicles, but its performance degrades when shared features arrive stale or incomplete.A Probabilistic Perspective on Wasserstein-Based Evidential Uncertainty for Out-of-Distribution Segmentation
Semantic segmentation networks operate on a fixed set of classes and therefore fail when out-of-distribution (OOD) objects appear during deployment, a critical limitation for safety-critical…Lifelong small-object navigation in changing object layouts: a benchmark and method
Household robots need to continually navigate to different objects in the same environment, many of which are small and portable, such as tools and toys.HarnessIR: Harnessing Multimodal Foundation Models for Universal Real-World Image Restoration
Real-world low-quality images suffer from complex mixed degradations, including but not limited to noise, blur, atmospheric effects, etc. Recent agentic methods usually model real-world image…HeiCo-FOCUS: A Clinically Grounded Dataset for Long-Context Video Understanding
Recent advances in Vision-Language Models (VLMs) have led to rapid progress in video understanding across a wide range of benchmark tasks.BagDINO: Multi-View Baggage Re-Identification with DINOv3
Mishandled checked baggage remains a recurrent issue in airport operations, and current recovery workflows still largely rely on tag-based tracking, which does not directly support visual…Beyond Anonymous Captions: Grounding Character Identity in Video Captioning and Question Answering
Linking people's appearance and actions to character identities is essential for understanding video narratives.Argos: Adapt Rich Geometric Priors for Generalizable Online Scene-Change-Detection
Robots operating in dynamic environments require reliable detection of how their surroundings change over time.VideoEvolve: Co-Evolving Memory and Retrieval for Long Video Understanding
Long video understanding increasingly relies on external memory to organize massive visual streams into compact representations.HuLiGen: Human LiDAR Generation from Parametric Body Models
LiDAR point clouds of humans are extremely expensive to collect and annotate, thus represent a scarce resource that hinders the development of human analysis using this modality.VolCo: Volumetric Contact for High-Fidelity Human Grasp Generation
Accurate contact modeling is fundamental to understanding hand-object interaction, yet existing contact representations are typically restricted to object surfaces and rely on hand-crafted rules to…GAGR-Lab: Evaluating Joint Spatial-Geometric and Analytic Function Reasoning
Joint spatial-geometric and analytic function reasoning requires translating a perceived spatial configuration into a symbolic function whose executed curve satisfies geometric constraints.