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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 197
Do Vision Models Learn Physical Constraints or Rendering Shortcuts? A Counterfactual Benchmark for Grounded Physical Consistency
Modern image editing models can satisfy a text instruction while breaking the physics of the edited scene.A Deterministic Evidence Layer for Vision-Language Autism Screening from Naturalistic Home Video
Autism spectrum disorder (ASD) is diagnosed through specialist observation of a child's social behavior, and access to that expertise is the bottleneck for early identification.Consistent Distribution Matching for Data-Free Diffusion Distillation
Flow and diffusion models suffer from slow inference due to computationally expensive numerical integration.PVSync: A Unified Lip-Sync Expert for Timing and Articulation
Lip movements can match the timing of speech without matching the spoken sounds.Visual Grounding Safety in Vision-Language Models
Vision-language models (VLMs) are increasingly trained to generate structured outputs like points and bounding boxes that downstream interfaces, agents, and robots can act on, yet safety alignment…StageVLN: Spatial and Trajectory Auxiliary Guidance for Efficient Vision-Language Navigation
Vision-and-Language Navigation (VLN) policies increasingly benefit from strong semantic priors provided by large vision-language models (VLMs).Bayesian Data Augmentation for DNN Retraining with Binomial Outcomes in Vision-Based UAV Landing
In GPS-denied or cluttered urban environments, vision-based landing is essential for reliable UAV missions.Difference Feature Map Distillation: Transferring Inter-Sample Relational Knowledge Towards Efficient Transformer-Based Tracking
In autonomous driving perception, visual object tracking systems must satisfy stringent latency and power constraints while remaining robust in complex and dynamic environments.From Pixels, Without Pre-training: Joint Generative and Self-Supervised Representation Learning in One Model
Strong image generation models are conditioned on class labels, aligned to frozen pretrained encoders, or built on separately trained autoencoders.Rotated, but How Far? Diagnosing and Improving Object-Rotation Reasoning in VLMs
Vision-language models (VLMs) can detect that an object has rotated across views, but cannot reliably tell by how much.T-JEPA: A Temporal Joint-Embedding Predictive Architecture for Learning Better Remote Sensing Representations
Earth observation (EO) data provide rich temporal supervision, yet existing remote sensing foundation models mainly exploit sequential observations through imposing predefined pairwise relations or…HLA-WM: Hybrid Linear Attention for Long-Horizon Video World Models
Long-horizon video world models require persistent memory to preserve scene consistency over extended rollouts.Robust Local Optimization Done Right
RANSAC scoring and local optimization (LO) impose different robustness requirements, motivating the separation of hypothesis selection from refinement.A new design of a fall detection system integrating landmark identification and deep learning techniques
This article introduces an innovative system that integrates landmark identification with deep learning to enhance fall detection accuracy and reliability.Vision-enabled detection of safety helmet compliance in construction zones
In the rapidly evolving field of construction management, worker safety remains a top priority.A Three-Dimensional Reverse-Projection Method for Sparse Point Cloud Completion and Its Application to High-Speed Train Nose Reconstruction
Holes in LiDAR scans of environments with glass windows remain an unresolved problem in three-dimensional reconstruction.Controllable Road Marking Generation
Lane and road markings provide critical guidance for vehicle navigation and multi-agent coordination, yet authoring them at scale remains a manual workflow that limits quantitative analysis and…InteractionBench: A Real-Time Interaction Benchmark for Streaming Video Systems
A video assistant must speak when its instruction warrants a response and stay silent otherwise.A Spatiotemporal Semantic Importance-Guided Unified Compression and Editing Framework for AI-Generated Videos
AI-generated videos are rapidly increasing in volume, duration, and resolution, creating growing demands for efficient storage and transmission.FairRSFM: A Biome-Aware Benchmark and Debiasing Framework for Remote Sensing Foundation Models
Remote sensing foundation models (RSFMs) are commonly evaluated using aggregate metrics, which can hide systematic performance disparities across ecological regions.