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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 230
DiFF: Doppler-informed Flow Matching for Human Motion Flow
Perceiving human motion via privacy-preserving 4D millimeter-wave (mmWave) radar is critical for next-generation human-robot interaction (HRI), where point cloud scene flow serves as a foundational…CamAgent: An LLM-Agent Framework for Multi-Species Camera-Trap Workflows
Camera traps accumulated vast, multidimensional data for wildlife monitoring, yet translating raw media archives into meaningful ecological insights remains highly fragmented.Beyond Local Linearity: Scale-Resolved Geometry of Learned Image Encoders
Understanding how learned representations respond to finite input changes is important for characterizing their sensitivity, invariances, and robustness.GRC-Pose: Generation-Reconstruction Correspondence for Prior-Free 6D Object Pose Tracking
Prior-free 6D object pose tracking seeks to recover the trajectory of an unseen object from a single RGB video without object-specific CAD models, posed reference images, or pose annotations.Is Better Teacher Supervision Enough? Unlocking Student-side Learning in Multimodal On-Policy Distillation
On-policy distillation (OPD) improves reasoning by providing token-level supervision from a teacher on a student's own trajectories.How to Reduce Localization Ambiguity? Geometry-Semantic Constrained BEV Representation Learning for Satellite-Ground Localization
Satellite-ground localization estimates the planar position and yaw orientation of a ground camera within a geo-referenced satellite image.GeoGAT: Bidirectional Temporal Sampling Meets Hierarchical Graph Attention for Global Video Geo-localization
Global video geo-localization aims to infer the geographic location of a video worldwide, evaluating performance across four geographic hierarchies: city, state/province, country, and continent.Perceptual Color Difference Modeling Using Machine Learning and Human Similarity Judgments
Accurate assessment of color differences is essential for applications ranging from digital design to quality control.Uncertainty-Aware Consistency Distillation for Few-Step Video Generation
We study few-step video generation, i.e., distilling a multi-step video generator, which typically requires tens of sampling steps, incurring substantial latency and compute, into a few-step student.Feature-Aware Token Attack for Compression-Triggered Stealthy Failures in Large Vision-Language Models
Visual-token compression improves the efficiency of large vision-language models, but can expose failures that full-token evaluation misses.Asking the World: Generalist Physical Reasoning through Agentic World Modeling and Probing
Physical reasoning from video requires inferring latent physical properties and dynamics beyond direct observation.When Can Text Replace Vision? Structural Bottlenecks in Diagram Reasoning
Can structured text replace vision for diagram reasoning?MindWorldBench: Evaluating Mental-State-to-Behavior Reasoning in Image-to-Video Generation
Current image-to-video models achieve visual realism and physical plausibility, but reasoning about mental states remains unexplored.OP-CAD: On-Policy Clean-Audio Distillation for Robust Audio-Visual Reasoning
Omni-modal large language models deployed in real-world environments encounter external noise that can interfere with their perception and understanding of multimodal inputs.TripleFlow: Training-Free Video Object Removal by Bridging Residual Editing and Native Generation
Video object removal presents a uniquely difficult editing challenge.Exploiting Vulnerabilities: Universal Adversarial Attacks on Vision-Language-Action Models in Robotics
Recently, Vision-Language-Action (VLA) models have revolutionized robotic manipulation by seamlessly integrating visual perception, language understanding, and action generation in an end-to-end…MEND: Label-Free Detection, Localisation, and Correction of Latent Hallucination in World Models
World Models are appearing as the next major frontier in computer vision.Aligning Thoughts with Answers: Probability Rewards to Tame Thinking Drift
This paper studies \textbf{thinking--answer consistency} in vision-language models.Fiber-Resolved Microstructure Quantification from Multi-Shell Diffusion MRI using Detection Transformers
Fiber orientation and compartmental microstructure are central to the characterization of white matter tissue in diffusion MRI, yet existing methods either resolve fiber orientations without…Uruqi: Learning Spatial Cognition from Visual Experience
Spatial intelligence requires maintaining a coherent understanding of the world as the embodied agent moves.