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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 248
SYNCR: Diagnosing and Learning Cross-Video Reasoning from Simulation
Reasoning across videos requires aligning events, matching identities, comparing motion, and integrating partial observations.EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memory
Agents can learn from past executions, but enabling different agents to reuse and build on one another's experience remains challenging.Rollout-Marginal Distillation for Long-Horizon Autoregressive Video Generation
Autoregressive (AR) video diffusion enables low-latency, streamable video generation, but prediction errors often accumulate over long rollouts.Look Closer: Patch-wise Supervision for AI-Generated Image Detection
How much of an image does a detector need to see?Does Local Video Understanding Transfer Across Encounters? The EgoGears Benchmark
Embodied systems must make knowledge acquired during one encounter usable in another despite changes in viewpoint, motion, and illumination.Video-RSI: Recursive Self-Improvement of Video Understanding Agents via Harness Evolution
Video understanding agents acquire evidence through an executable harness that controls what they observe and how they use those observations.SoL-Refiner: Speed-of-Light One-Step Refinement for High-Resolution Video
High-resolution video generation is expensive, as its cost grows rapidly with the number of spatiotemporal tokens.PhysWAM: Physically Consistent World Action Model for Autonomous Driving
World-action models (WAMs) jointly predict how a scene will evolve and how an agent should act, however joint generation alone does not necessarily impose a shared geometric constraint on these…$S^3$: Spectral Null-Space Swap Makes Reasoning Models Efficient
LLMs trained with Chain-of-thought excel in reasoning capability, but often come with excessive token cost.ORMA: Optimization-based Monocular 4D Reconstruction of Articulated Animals
Recovering articulated 4D representations of animals from monocular videos remains challenging due to the large diversity of quadruped morphologies and lack of animal 4D supervision data.HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use Agents
Computer use agents (CUAs) have demonstrated strong capabilities in completing digital tasks.From Unity Simulation to Diffusion-Based Augmentation: Quantifying Dataset Balance for Robust Object Detection
Modern computer vision models achieve high accuracy when trained on large-scale annotated datasets.Brain-SAD: A Brain-Inspired Safe Autonomous Driving Control Framework with Dynamic Fear-Oriented Constraint on Dual-Policy
Constrained Reinforcement Learning has recently gained increasing attention in the field of Safe Autonomous Driving, where the general mechanism is to maximize the expected reward while keeping the…Beyond Lip Sync: Reference-Grounded Oral Refinement for Audio-Driven Portrait Animation
We present RGOR (Reference-Grounded Oral Refinement), an audio-driven lip-sync framework that renders the mouth of the specific person being dubbed rather than a generic one.doPlan: A Variable-Horizon Dataset for Multi-Stage Language-Conditioned Planning in Autonomous Driving
Autonomous vehicles interacting with passengers through natural language must reason beyond immediate commands.Pow3R-SLAM: Real-Time RGB-D SLAM with 3D Reconstruction Priors
We present Pow3R-SLAM, a real-time RGB-D simultaneous localization and mapping (SLAM) system that uses Pow3R for tracking and mapping.EVO-WAM: Evolving World Action Models through Video-Action Verification
Improving robot policies on new tasks without collecting additional expert demonstrations remains a central challenge in robot learning.WorldLine: Action-Driven Visual Simulation for Robotic Manipulation
Real-world robot learning is constrained by the cost of collecting experience and evaluating candidate behaviors.RS-OPSD: Reliable Privileged On-Policy-Self-Distillation for Ultra-High-Resolution Remote Sensing VQA
Ultra-high-resolution (UHR) remote sensing visual question answering (VQA) requires models to resolve small visual evidence within extremely large images.MUGEN: Interactive Panoramic World Exploration via Camera Control
Interactive panoramic video generation aims to synthesize immersive 360\textdegree{} videos that remain visually coherent while following user-specified camera trajectories during exploration.