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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 93
ViBMR: A Large-Scale Multi-Sequence Brain MRI Dataset and Comprehensive Evaluation for Vietnamese Radiology Report Generation
Automated radiology report generation for multi-sequence brain MRI holds strong promise for alleviating radiologists' workload, yet it remains a demanding problem: brain MRI studies are inherently…Asking a Multimodal LLM Whether Someone Fell: Zero-Shot Screening of Low-Resolution Thermal Video in a Laboratory and an Occupied Home
Thermal cameras can watch over older people living alone without capturing faces, and multimodal large language models (LLMs) can judge a short video without task-specific training.CausalAlign: Causal Alignment of Video Generation Models for Consistent Ego-Motion
Diffusion-based video generation models (VGMs) can produce visually plausible videos, yet their camera ego-motion often drifts over long horizons.DewHand: Direct Metric World-Space Hand Motion Reconstruction from Egocentric Videos
Recovering metric world-space hand motion from egocentric video supports understanding human interactions and transferring them to embodied agents.Existence of Minimizers for the Gaussian Mumford-Shah Model via Covariance Floors on the Value Distribution
The Gaussian Mumford-Shah model segments an image into regions by minimizing a continuous multivariate Gaussian negative log-likelihood term plus a perimeter penalty.Training-free Acceleration for Blind Compressed Image Restoration via Activation-Calibrated Singular Value Decomposition
Transformer-based models achieve strong performance on blind compressed image restoration (CIR) under unknown compression settings, but their densely stacked projection operators make deployment…Looking Ahead: Modeling Future Evolution in Autoregressive Video Generation
Autoregressive video diffusion models generate videos chunk by chunk, yet producing plausible continuations does not guarantee that they capture how scenes evolve.DONIC: Generalist Dexterous Bimanual Tracking Control from Human Demonstrations
Despite recent progress in dexterous reference tracking, existing models focus primarily on single-hand manipulation and a limited range of interactions, leaving the bimanual dexterous behaviors…Multiclass Boundary Refinement with Neural Cellular Automata for Remote Sensing Land Cover Segmentation
Semantic segmentation of remote sensing imagery often places class boundaries a few pixels away from where they truly lie, and this position error is concentrated in the thin band measured by…ClunoGS: Compact Language 3D Gaussian Splatting via Unified Optimization
Language 3D Gaussian Splatting enables open-vocabulary scene understanding by associating Gaussian primitives with language features.RealMe: Immersive Volumetric Video from Minimal Captures
This paper addresses the problem of creating immersive volumetric videos from sparse and low-resolution capture resources.Plausible but Unimplantable: A Trustworthiness Audit of Shape Completion Foundation Models for Cranial Defect Reconstruction
A patient who has lost part of the skull vault needs an implant that fits the defect exactly, and such implants are still drawn by hand in CAD by specialists, which makes each case slow and expensive.Attn-Forcing: Learning Full-Context Attention Proxies for Streaming Video Generation
Increasing the attention context length significantly improves streaming video generation quality, while incurring prohibitive memory and computational costs as the context grows.ProactEgoMem: Benchmarking Proactive Memory in Streaming Egocentric Video
Today's multimodal assistants are typically prompted to interpret the visual evidence presented to them.AtomicRL: Atomic Reinforcement Learning for Long-Horizon Robotic Manipulation
Vision-language-action (VLA) models have shown promise in robotic manipulation, but imitation learning (IL) alone often struggles to master complex long-horizon skills.Multimodal Embodied Agents: A Unified Capability-centric Perspective from Computer-Use to Robot-Use
Multimodal agents (MMAs) sustain interaction through reasoning, memory, tools, and feedback, most visibly as computer-use agents, while robotic systems (RSs) couple sensing and actuation under…ALPS: Visual State Encoders for World Models
World models turn visual representations into predictions and actions.PhysiCalWorld: In-Context Physics Calibration for World Models
Existing world models typically perceive a scene through current visual frame or a narrow history window.VoxProg: 3D Spatial Reasoning through Voxel Programming
Language models' abilities to interpret tasks and generate programs offer a promising basis for 3D spatial reasoning.Rethinking Video Autoencoders for Interactive World Models
Video world models predict future frames from past frames and actions.