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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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 224
From Pixels to Policy: A Multi-Agent System for Intervention and Geo-Spatial Decision Support
Urban environments are shaped by design choices with long-term implications for health, safety, and quality of life, yet evaluating proposed interventions remains costly, time-consuming, and often…EvenSplat: Coupled 2D-3D Decomposition for Gaussian Splatting under Exposure and Illumination Variation
A surface photographed under even light presents nearly the same appearance from every angle; the same surface under uneven light does not.Memory-Guided B-Roll Generation from User Video Collections
We introduce an approach for collection-grounded B-roll sequence generation.Unsupervised Domain Adaptation for Enhanced Radiometer Image Precipitation Estimation using Conditional Flow Matching
Deep generative networks have recently achieved unprecedented performance in precise image and video editing using sophisticated textual prompts.MapLightning: Online Vectorized HD Map Construction with 1D Map Tokens
Online vectorized HD map construction is essential for scaling safe autonomous driving and requires accurate, real-time inference.DecomVoxel: Harnessing 3D-Native Priors with Guided In-situ Denoising Optimization for Decompositional Scene Reconstruction
Decompositional scene reconstruction aims to reconstruct high-quality objects and background, yet existing methods still struggle with the level of quality under heavy occlusions.MoLE: Mixture of Latent Experts for Complementary Visual Reasoning
Latent visual reasoning equips vision--language models with continuous intermediate states that can process visual evidence without explicit textual reasoning traces or repeated image operations.CLoSeR: Closing the Loop for Long-Context Streaming Reconstruction
Feedforward foundation models have recently shown remarkable 3D reconstruction capabilities.Fewer Tokens, Better Action: GPT-6 Astra Robot Agents with 14% Higher Success Rate but 65% Fewer Tokens
Vision language model (VLM) agents can control robots through visual feedback and action primitives, but repeated model invocations and redundant observations incur substantial token overhead.Latent-Foresight: End-to-End Learning Predictable Representations for Latent World Models
Predicting the future evolution of a scene is a fundamental capability for world modeling.Anti-Persona: Disrupting Unauthorized Identity Binding and Recognition in Personalized Vision--Language Models
Few-shot personalization enables large vision--language models (LVLMs) to learn user-specific visual concepts for applications such as personalized retrieval and subject-aware querying.EndoLive: Real-Time Style Transfer for Endoscopic Endonasal Skull Base Surgical Video
Complex surgical procedures around critical anatomy, such as the endoscopic endonasal skull base surgery, requires significant practice and training on the part of the surgeon before they are…SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning
The ability of vision-language models (VLMs) to associate visual identities with biographical information creates a need for selective unlearning of personally identifiable information (PII) while…RASteer: Retain-Aware Activation Steering for Concept Erasure in Diffusion Models
Concept erasure aims to remove a target concept, such as a copyrighted style, a recognizable character, or unsafe content, from a pretrained text-to-image diffusion model while preserving its…Token-Level Video Reinforcement Learning
Reinforcement learning (RL) for video generation usually assigns one scalar reward to an entire sampled video.Continual Concept Erasure in Diffusion Models by Suppressing Cross-Edit Interference
As erasure requests arrive over time, models must remove new targets without undoing prior erasures.Comparing a gradient boosting algorithm to the GOES FDC for wildfire detection
Wildfires pose severe risks to human life, ecosystems, and property.From Reasoning Failures to Composable Video Spatial Intelligence
Spatial reasoning benchmarks evaluate vision-language models across diverse tasks, but task-level scores do not reveal which underlying capabilities account for success or failure.Weather-Aware Domain Adaptation for Street-View Weather Recognition
Adverse conditions such as rain, snow, fog, and dust remain challenging for camera-based perception in autonomous driving.Exploring Weaknesses of Generative Image Watermarks against Latent Frequency Masking
Invisible watermarking has become a central tool for tracing AI-generated images, but its robustness against adaptive removal attacks remains an open security question.