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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 207
Learning Conditional Source Distribution via Flow Reversal for Temporal Flow Matching
We introduce CNP-Flow, a flow matching framework for temporal generation that learns conditional source distributions through flow reversal.FACET: Factorized Asymmetric Conditioning for Efficient Transport in High-Fidelity Fluorescence Microscopy Synthesis
Fluorescence microscopy reveals where proteins localize, but only a limited number of proteins can be imaged in the same cell; generating these images from amino-acid sequence and the cell's…CASE: Cost-Aware Stopping for Efficient Long-Video Agents
Long-video agents can actively gather question-relevant evidence, but they typically leave a central decision implicit: when has the agent seen enough to answer?CleanMDM: Clean Motion Diffusion Model for Multimodal Motion Cleanup
Motion capture data is rarely directly usable, as they typically exhibit missing segments, jitter, drift and contact artifacts.A Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models
Evaluating vision encoders requires metrics that reliably predict their downstream performance in multimodal large language models (MLLMs).Prism: Dynamic Sparse Attention for Native 2K Joint Video-Audio Generation Model Training
Natively training joint video-audio generation models at higher resolutions empowers them to learn richer visual details and sharper motion dynamics.Render to Reason: Novel-View Semantic Prediction Improves Spatial Understanding in VLMs
Recent works augment Vision-Language Models with geometry features from pretrained 3D models, expecting that the geometric signal will boost spatial reasoning.EvoMem-VLA: State-Evolution Memory for Long-Horizon Robot Manipulation
Most vision-language-action (VLA) models rely on current observations and lose task-relevant evidence once it leaves view, limiting performance on long-horizon, memory-dependent tasks.Unmentioned Checklist Findings Change How Reinforcement Learning Appears to Improve Chest Radiograph Report Checking
Automated checks of radiology reports may rely on AI-generated checklists that leave findings unmentioned.The Poisoned Conversation: Privacy-Leaking Watermarks in Unified Multimodal Models
Multimodal models are increasingly shifting toward unified architectures that understand and generate text, images, and other modalities within a shared conversational context.Human-Like Attention? A Psychophysical Comparison of Visual Search in Humans and MLLMs
Visual search is a fundamental cognitive ability.Universal Test-Time Training
Recent Test-Time Training (TTT) architectures compress context into fast weights that are updated online and queried as memory.Robust Surgical Robotic Instrument Tracking via Sequential Multi-Cue Fusion and Sim-to-Real Self-Training
Efficient and robust tracking of surgical robotic instruments is important for robot-assisted minimally invasive surgery, yet remains challenging due to the complexity of surgical scenes and the…Robust 2D Traversability Mapping for Construction AMRs via Failure-Mode-Aware Fusion of LiDAR Geometry and Monocular Semantics
Autonomous Mobile Robots (AMRs) on active construction sites face severe navigational challenges: geometry-based traversability mapping (e.g., LiDAR) misses visually hazardous but geometrically flat…DynaMesh: Dynamic 3D Texture Generation
We present DynaMesh, a dynamic texture generation method for 3D meshes.Deep Prior Learning for Embodied Perception
Embodied systems need geometric perception that exploits available observations beyond images alone.Monocular markerless biomechanics for clinically interpretable gait assessment in spinal cord injury
Three-dimensional gait analysis guides rehabilitation after spinal cord injury but depends on marker-based motion capture and force plates, which few clinics have.SteadySplats: Resampling of Low-Variance Gaussians for High-Fidelity Stochastic Rendering
Stochastic order-independent transparency enables efficient and elegant rendering of primitive-based radiance fields like 3D Gaussian Splatting models, but remains impractical due to the inherent…Rethinking Streaming-Perception Evaluation on Heterogeneous Edge Platforms
Multi-camera streaming perception is increasingly deployed on heterogeneous edge platforms shared with co-resident workloads, yet accelerator placement is often evaluated using isolated…Generating the Wild: Individual-Consistent Image-to-Video Generation for Wildlife
Individual-level wildlife identification often suffers from data scarcity, as varying observations of the same animal under diverse poses, viewpoints, and motions are rarely available.