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Computer Vision
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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 223
Beyond Leaderboard Scores: A Deployment-Focused Protocol for Interpretable Tracking Evaluation in Pedestrian-Centric Environments
Mobile robots operating among pedestrians need trajectories that become available quickly, remain spatially credible through missed observations, preserve identity, and fit within an embedded…Architectural Sampling: Test-Time Scaling via Computational Diversity in Frozen Vision-Language Models
Test-time scaling often seeks better answers by sampling multiple responses from a frozen model, yet conventional temperature sampling generates every candidate along the same fixed computation path.MEGA: Object-Level Mesh Extraction from 3D Gaussian Splatting via Spatial Visual Distillation
Mesh extraction from 3D Gaussian Splatting (3DGS) aims to endow 3D Gaussians with accurate geometric structures, enabling explicit and precise 3D occupancy.CoEvolve: Construct-to-Edit Visual Grounding with Bidirectional State Refinement
Visual grounding localizes an object described by language with a bounding box.Rethinking Memorization Mitigation in Diffusion Models: Reinforcing Text Conditioning
Text-to-image diffusion models have achieved remarkable progress in image synthesis, yet can exhibit memorization by closely reproducing individual training examples.ATI-VLA: Action-Centric Predictive Vision-Language-Action Models via Actionable Alignment Then Adaptive Injection
Predictive Vision-Language-Action (VLA) models aim to improve robotic manipulation via future observation or world dynamics forecasting.World Motion Models: Flexible Sequence Modeling of SE(3) Trajectories
Equipping artificial agents with spatial intelligence requires a comprehensive generative prior over the dynamic 3D world.3DROID: A Renderable 3D Gaussian Dataset with Measured Per-Scene Reliability
Robot manipulation models primarily reason from 2D observations while acting in the 3D physical world.End-to-End Learning vs. Modular Architectures: Comparative Insights into Autonomous Driving Systems
Autonomous driving systems have become a central focus of intelligent transportation research, with End-to-End Learning and Modular Architectures offering two prominent design paradigms for their…FFBL-Coop: Association-Decoupled Cooperative 3D Multi-Object Tracking
Cooperative 3D tracking must integrate complementary observations across agents and time while maintaining consistent identities.Cog-VADU: A Training-Free Cognitive Reasoning Framework for Video Anomaly Detection and Understanding
Video Anomaly Detection (VAD) aims to temporally localize abnormal events in videos.GenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking
Category-level object pose estimation (COPE), capable of generalizing to intra-class unknown objects, has become a core technique for robotic 3D scene understanding.PhysDEM: Physics-Defined Energy-Matching Diffusion for Spatiotemporal Field Generation under Scarce Measurements
Generating and predicting spatiotemporal physical fields from scarce measurements is challenging, as observations are insufficient to characterize a distribution over complete fields.OneStreamer: Unifying Perception, Memory, and Proactive Response in Streaming Video Interaction
Streaming video LLMs must retain evidence before its relevance to future tasks is known and respond when sufficient evidence becomes available.VideoEvolve: Evolving Agent Harnesses for Video Temporal Grounding
Video temporal grounding aims to localize events in videos from natural-language queries.GIFTBench: Diagnosing Generalization in Image Forgery Localization and Informing Model Design
Reliable evaluation of image forgery localization (IFL) requires assessing models under diverse distribution changes, yet existing benchmarks often cover limited manipulation conditions or entangle…VETO: Video Efficient Token Optimization for Vision Language Models
Processing long videos with Vision-Language Models (VLMs) is bottlenecked by the quadratic cost of visual tokens, making long-form inference prohibitively expensive.Continuous Conditioning of VLAs with Augmenting EMG and Visual Task Descriptors
Vision-Language-Action (VLA) models rely strongly on language for describing task information, despite having multimodal inputs.PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization
Reliable clinical deployment of deep medical image models is hindered by distribution shifts across scanners, sites, and acquisition protocols.LiteReality-Agent: An Agentic System for Interactable 3D Indoor Scene Reconstruction
We present LiteReality-Agent, an agentic system for reconstructing real indoor environments as realistic, articulated, and simulation-ready 3D scenes from RGB-D scans.