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 68
Learning and Reasoning with Geometry: How Generation Helps Spatial Understanding
Image and video generators can produce spatially consistent visual content, but how to use this capability to improve spatial understanding remains underexplored.The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents
Multimodal intelligence can be viewed as human-guided co-evolution between worlds and agents through interaction.Closed-Loop Aware Planning via Imitation-Free Speed Scoring for End-to-End Autonomous Driving
End-to-end autonomous driving has predominantly relied on open-loop imitation learning for training, which presents two limitations.Any3R: Feedforward 3D Reconstruction from Any Camera Type
Geometry foundation models recover camera poses and dense geometry from a set of images with a feed-forward network, but they expect pinhole images.PrinGS: Privacy Preservation in Gaussian Splatting
3D Gaussian Splatting (3DGS) has rapidly become the preferred representation for high-fidelity novel view synthesis and 3D scene reconstruction.Bayesian Evidence Accumulation for Graph-Based Learning in Dynamic Data-Driven Applications Systems
Graph Neural Networks (GNNs) are widely used in modern machine learning, yet most existing frameworks remain fundamentally static, limiting their applicability in Dynamic Data Driven Application…Beyond the Estimate: Wiener-Informed Decoding for Easier Training of Pixel-Space Flow Models
Learning velocity fields directly in pixel space is difficult and slow.Learning to Read Braille: Benchmarking and Improving Braille Recognition Capabilities of VLMs
Despite rapid progress in visual understanding and document transcription, modern vision-language models (VLMs) struggle with a fundamental accessibility task: reading Braille from images.UT-HMR: Uncertainty-Guided Temporal Modeling for Robust 3D Human Mesh Recovery
Monocular 3D human mesh recovery (HMR) remains unreliable under weak observations caused by long camera-to-person distances, occlusion, and motion blur.Diagnosing and Correcting Bias in MLLM for Long Video Understanding
Long-video question answering is challenging since the answer often hinges on a few decisive moments scattered throughout the video, while memory constraints force Multimodal Large Language Models…Hierarchical Multimodal Interaction Reasoning for Dyadic Relationship Recognition
Dyadic relationship recognition aims to identify the latent social relationship between two individuals from their multimodal interactions.Cross-modal Steering Vectors Exist Across Both Image and Text Generation
Are concepts and mechanisms unified across modalities in current AI models, or instead implemented separately for each one?Training-Free Inference Acceleration for Video Large Language Models: Methods, Trade-offs, and Evaluation
Video Large Language Models (VLMs) have demonstrated strong capabilities in video understanding and reasoning, but processing long visual sequences incurs substantial computational, latency, and…CRLoMTL: Conflict-Resolution through Low-rank matrices for Multi-Task Learning
Multi-task learning (MTL) improves model efficiency by sharing representations across related vision tasks, but it often suffers from negative transfer when task updates interfere with one another.CrowdCC: Jointly Benchmarking Corruption Robustness and Deployment Quantization in Crowd Counting
Crowd-counting models deployed on edge devices face two challenges: inputs are degraded along the capture and transmission pipeline, while models are often quantized to satisfy resource constraints…When Slides Met Scans: Cross-Attention for Renal Cancer Prognosis
Histopathology and computed tomography (CT) provide complementary views of renal cancer.BoxWorld: Let World Engines Control and Video Generators Render
We tackle the challenge of building real-time interactive video worlds with user-defined behaviors.Evaluating Federated Vision-Language and Vision-Only Models for Privacy-Aware Breast Cancer Imaging
Artificial intelligence (AI) shows promise for breast imaging, but limited labeled data, institutional data fragmentation, and privacy concerns hinder centralized training.SOMA: A Benchmark for Fine-Grained Egocentric Behavior and Body-Motion Understanding
Perceiving human body motion is critical for multimodal systems that understand and assist people.ORBITAL: Optimization of Robust Brain--Computer Inference Through Architecture-Aware Low-Precision Compression
Compact electroencephalography (EEG) decoders enable embedded brain--computer interfaces (BCIs), but compression can alter adversarial robustness without proportional hardware savings.