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.
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Newest papers, page 141
ScenePercept: Scenario-Conditioned Perceptual Assessment of Real-World User-Generated Content Images
The rapid development of mobile imaging and social platforms has led to explosive growth in user-generated content images, making their systematic and comprehensive perceptual assessment…Integrating 3D Posture Neutralization with Statistical Shape Modeling for Head-Neck-Shoulder Ergonomic Design
The design of ergonomic products and workspaces requires a deep understanding of human anatomy and posture.Deficit-Driven Stratified Acquisition for Building STRATA-S12: An Open SAR-Optical Corpus for Self-Supervised Learning
Building a co-registered SAR-optical corpus for self-supervised Earth Observation is above all an acquisition problem, yet the main multi-modal datasets are collected opportunistically, with no…Hierarchical Curriculum Learning for Surgical Video Generation: Focusing on Bilateral Axillo-Breast Approach Robotic Thyroidectomy Datasets
High-fidelity surgical video generation is increasingly important for surgical education, simulation, and downstream AI training, as conventional simulation pipelines are limited by cost, realism…MedEvo: Medical Reasoning Evolution through Knowledge Navigation
Medical multimodal reasoning models are typically trained on teacher-generated rationales, discarding the valid reasoning in students' own failed trajectories, while general-domain correction…SWORD: Scene-Grounded Wasserstein Object-Relation Distance for 3D Scene Graph Prediction
3D scene graph prediction is commonly optimized with object-node and relation-edge classification losses.A Differentiable 3D Scene Graph Metric via Contextual Hellinger Triplet Geometry
3D scene graph prediction is commonly supervised with local object and predicate classification losses.From Token Correction to Claim Admission: Training-Free Hallucination Mitigation for Large Vision-Language Models
Large vision-language models often exhibit object hallucination, generating claims that are not supported by the input image.DT-LoRA: Reaching Beyond the Tangent Space of Low-Rank Adaptation
Low-rank adaptation (LoRA) often underperforms full fine-tuning.AttenIR: Aligning Dense Visual Attention with Mesh Warping for Unsupervised Image Retargeting
Image retargeting aims to resize images while preserving salient content free from distortion and stretching.Autonomous 3D Visual-Thermal Inspection for Utility-Scale Solar Farms
Utility-scale photovoltaic (PV) inspection is dominated by aerial surveys, which are effective for identifying module-level hot cells but provide limited visibility of critical components located…DexStitch: Learning and Composing Dexterous Skills from Human Videos via Contact-Aware Robotic Inpainting
A long-horizon manipulation task consists of primitive skills and the transitions connecting them.When, Where, and Why: Hierarchical Causal Explainability for Video Face Understanding with MLLMs
Understanding facial behaviour in video requires answering three fundamental questions: when a key facial expression occurs, where the model attends on the face at that moment, and why that evidence…MHVF: Training-Free GUI Grounding via Verification-Guided Multi-Hypothesis Search
GUI grounding enables web agents to translate natural-language instructions into actionable interface locations.Multimodal Fusion of RGB and Complementary Modalities for Semantic Segmentation
Multi-modal semantic segmentation adds an auxiliary sensing stream to RGB images (RGB-X), such as thermal, LiDAR, depth, event, polarization, or light field.Beyond the End-Effector: Learning Whole-Arm Contact Manipulation from Human Demonstrations
Robot manipulation has traditionally relied on end-effector-centric interactions.SPARCL: Spatially Adaptive Regional Coverage for Active Learning in Chest X-ray Analysis
Pixel-level annotation for chest X-ray (CXR) lesion segmentation is expensive, making active learning (AL) essential.QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing
Multimodal Diffusion Transformers (MM-DiTs) have recently emerged as a powerful framework for unified text-vision synthesis, surpassing traditional U-Net architectures in generative tasks.FASHION-RQ: Mining Hierarchical Semantic Structure for Automated Evaluation of Fashion Retrieval
Evaluating fashion retrieval systems remains challenging due to the limited availability of benchmarks that capture the fine-grained, open-ended queries encountered in real-world search and…What Makes a Good Visual Representation for Spatial Understanding in MLLMs?
Spatial understanding is a necessary step in moving multimodal large language models (MLLMs) toward reasoning about the 3D physical world.