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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 76
Playing Bias: Epistemic Games for Interpreting Text-to-Image Models
Text-to-image (T2I) systems do not merely render prompts; they circulate defaults for "what X looks like," shaping recognition through pose, camera, costume, props, and setting.Forging Emotions: a deep learning experiment on emotions and art
Affective computing is an interdisciplinary field that studies computational methods that relate to or influence emotion.Real-Time Localisation of Dorsal Anatomical Regions on Dairy Cows in Commercial Rotary Parlours from RGB-D
Automated monitoring of dairy cows increasingly measures one part of the body, such as the rump for temperature or the back for posture, yet the region itself is usually placed by hand.$Ψ$-0.6: Adaptive Streams of Thought in a Unified Vision-Language World Model
Humans reason about the physical world by flexibly combining different forms of inference as a problem unfolds.Searching with Sparse Histories: Cross-Task Architecture Search from Incomplete Search Logs and Zero-Cost Proxies
Neural architecture search (NAS) is expensive, but cross-task transfer can reduce costs by reusing knowledge from previous tasks.Depth-Dependent Safety Geometry in Vision-Language Models: Layer-Wise Localization and Bidirectional Refusal Control
Vision-Language Models (VLMs) are widely deployed, yet the internal mechanisms behind their safety behavior remain poorly understood.DS-BiCA-Net: Pair-Preserving Cross-Temporal Modeling for Remote Sensing Change Captioning
Remote sensing image change captioning (RSICC) describes in natural language the semantic changes between two images of the same scene captured at different times.Neural Disjunctive Normal Forms for Learning Exact Rank Filters
Gradient-based learning of morphological operators is hindered by locally sparse derivatives with respect to the structuring elements.Benchmarking Data-Free Continual Model Merging for Whole-Slide Image Survival Analysis
Continual survival analysis on whole-slide images (WSIs) requires models to integrate knowledge from sequentially arriving cancer cohorts while preserving previously learned information.Angular Supervision for Visual Object Grounding in Autoregressive Vision-Language Models
Autoregressive vision-language models (VLMs) struggle to ground generated text in the correct image regions, and existing explainability methods, such as attention maps and Logit Lens, often produce…ACWM-RM: A Reference-Free Reward Model from Complementary Mismatch Preferences
Reinforcement learning has gained attention for improving action-conditioned world models (ACWMs), as it enables reward-driven optimization of visual quality (VQ) and action-following fidelity (AF)…Towards Effective and Transferable Physical Camouflage against Multi-View BEV-based 3D Perception in Autonomous Driving
Modern autonomous driving systems widely adopt multi-view Bird's-Eye-View (BEV) based 3D perception models due to their superior performance.TileShare: Training-Free Acceleration of Overlapping Tiled ViT Decoding
Fixed-window Vision Transformer (ViT) decoders run at deployment resolution as overlapping tiles: every token in an overlap band is processed by several full decoder instances.Easy-3Dfy: Object-Level Geometric Composition for Single-Image 3D Scene Construction
Single-image 3D scene construction is a fundamental problem in 3D vision.Representation Learning via Composite Subspace Flow Matching
Distilling semantic meaning from raw image data remains a challenge in machine learning.Beyond Pattern Matching in 3D MLLMs: Part-Level Functional Reasoning for Generalizable Recognition
3D MLLMs recognize objects via pattern matching, which fails when geometrically similar objects require functional reasoning to disambiguate (e.g., dresser vs. wardrobe).LapaFM: A Laparoscopic Foundation Model via Multi-Stage Continual Learning
Artificial intelligence-based analysis of intraoperative laparoscopic videos has the potential to improve surgical decision-making and precision.Hyperparameter-Free Boundary-Interior t-vMF Dice Loss for Medical Image Segmentation
Class imbalance and errors near anatomical boundaries remain challenges in medical image segmentation, motivating loss functions that account for these difficulties.RVG-Bench: A Benchmark for Reasoning-Driven Audio-Visual Temporal Grounding
Existing temporal video grounding (TVG) benchmarks primarily focus on localizing target video segments according to descriptive text queries of the visual content.RootDown: Deploying and Benchmarking Models for Beet-Root Detection on Edge Devices
Quality inspection of sugar beets after harvest and storage is critical to preserve sugar content and ensure optimal processing efficiency.