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: 4,999 arXiv preprints and 1 OpenAlex record.
Get the few papers worth your time in Computer Vision every morning.
Follow Computer Vision and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 32
Learning-to-Memorize: Dynamic Context Management for Long-Horizon Autoregressive Video Generation
Autoregressive video generation has achieved impressive results on short clips, yet generating long videos remains challenging due to error accumulation over extended horizons, where each predicted…Advances in Agentic Computer Graphics
Computer graphics is built on code.Prior-Guided Physics-Informed Deep Learning for Fast 4D MRI Reconstruction
Background and purpose: We propose PGPI4MR (prior-guided, physics-informed 4D MRI reconstruction), a deep learning method that leverages information from other respiratory phases or a setup scan…Systematic Evaluation of Robustness in Fine-tuned Models
Our study systematically evaluates the robustness of fine-tuned pre-trained models across different datasets and attack types, aiming to provide insights for researchers in selecting pre-trained…Training-Free Motion-Corrected 3D Brain MRI Reconstruction via Event-Guided References
Head motion causes artefacts in 3D brain MRI and can bias structural measurements.Online Active Learning Architecture for Safety-Critical Control Systems
The transition of information-centric artificial intelligence to safety-critical applications is impeded by the limitations of conventional offline-training paradigms in open-world environments.SurgQ-VLM: Question-Conditioned Dual-Stream Compression and Answer-Type-Aware Reinforcement for Surgical Video Question Answering
Reasoning about surgical video -- which phase is underway, which instruments act, and when events occur -- underpins operative documentation, workflow analysis, and skill assessment.Vision-language classification of Torsades de Pointes risk from pseudo-coloured ECG images: do T-wave morphology and colour context help or hinder?
Contextual prompting is widely presented as a cheap route to better performance from vision models, but the evidence comes largely from benchmarks in which an attribute named in a prompt is also…TriPhysBench: Evaluating Physical Intelligence for Embodied Agents
Embodied agents need physical intelligence to understand their surroundings through physical perception, physical knowledge retrieval, and physical reasoning.Spade-SLAM: Sparse Correspondence Anchors for Dense Self-Supervised Visual SLAM
We introduce Spade-SLAM, a self-supervised dense visual SLAM framework that substantially narrows the long-standing performance gap to supervised methods in a zero-shot setting.VLSplat: Vision-Language Guided Object-Centric 3D Gaussian Splatting via Scene Graph
Learning semantic representations for 3D Gaussian Splatting has recently emerged as a promising direction for 3D scene understanding.Answering Without Arriving: An Evidence Audit for Embodied Question Answering
Embodied question answering asks an agent to navigate, observe, and then answer questions about what it saw, yet answer accuracy alone cannot tell whether any of this happened.Event-Based Optical Flow Constraint via Time-Sliced Plane Fitting
Event-based optical flow estimation using spatiotemporal planar approximation inherently assumes constant velocity and tends to average out temporal velocity variations.Object-Only Is Not Context-Free: A Counterfactual Diagnostic for Context Removal in Object Retrieval
Object-centric retrieval pipelines often mask the background before pooling backbone features, aiming for a descriptor that reflects the object rather than its scene.Knowledge-Guided Floodwater Level Reasoning for Cloud-Edge Collaborative Monitoring
Frequent urban floodwater poses a serious threat to the safety and efficiency of intelligent transportation systems.MUPA${}^2$S: Multimodal Unified Perception with Asymmetric Attention for Stress Assessment
Stress is a leading contributor to long-term physical and mental health decline.Multimodal BVP and Respiration for Automated Pain Recognition with Hankel-FCN
Automated pain recognition is a fundamental challenge for the advancement of clinical care and empathetic human-computer interaction, due to the subjective and dynamic nature of pain.SurgStream: A Workflow-Anchored Proactive Streaming Framework and Benchmark for Real-Time Surgical Video Understanding
Surgical video understanding is essential for intraoperative assistance such as workflow monitoring, instrument preparation and procedural documentation.Synthetic Realities: Evaluating Human Ability to Distinguish AIGenerated Videos from Real Footage
Recent advances in generative AI have enabled multiple pathways for high-fidelity video synthesis: text-to-video, image-to-video animation, and video outpainting.Cross-Dataset Generalization of Glaucoma Detection CNNs: Effects of Operating Threshold, Multi-Source Training, and Color Normalization
Deep learning models for glaucoma detection are usually tested on images from the same dataset used for training.