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.
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Newest papers, page 72
Knowledge distillation across teacher architectures for compact diabetic retinopathy grading
Diabetic retinopathy grading from retinal fundus photographs is important but difficult to deploy on resource-constrained hardware.AdShot: Benchmarking Multimodal Large Language Models for Video Advertisement Clipping
Advertisers routinely create multiple duration variants of ads to meet marketing budgets and viewer preferences, a labor-intensive and costly process.Fast Instinct, Slow Reason: A Dual-Speed Agentic Framework for Self-Configuring Multi-Object Tracking in Satellite Video
Multi-object tracking in satellite video underpins persistent monitoring, yet offline-tuned trackers lack the onboard intelligence and efficiency to adapt within an observation of tens of seconds.Rethinking Microscopy Generation: Co-Designed Diffusion for Biologically Interpretable Single-Cell Synthesis
Generative models for microscopy can already produce realistic whole-image fields of view, but offer no principled way to control how each individual cell looks.Bidirectional Cross-frequency Domain Interaction Network for UHD Low-Light Image Enhancement
Existing Ultra-High-Definition (UHD) low-light image enhancement (LLIE) methods typically rely on either spatial- or frequency-domain modeling, or independently process different frequency…AV-FABLE: Audio-Visual Manipulation Forensics in Long-Form Videos
Localized AI manipulations in long-form videos often affect brief events within otherwise authentic content, making video-level classification insufficient for forensic analysis.How Robust Are CNNs and Vision Transformers for Alzheimer's MRI Classification Across Datasets?
Accurate assessment of Alzheimer's disease stages from MRI is important for understanding disease progression and supporting the development of computer-aided analysis tools.Dynamic Query as Budgeting for Tiny Object Detection
Recent DETR-based tiny object detectors adopt dynamic query mechanisms to handle severe density imbalance.Semantic-First: Temporal Scheduling in Flow Matching for Reliable Emotional Image Generation
Affect-controlled image generation should change how a scene feels while preserving what the prompt specifies.Qwen-Image-PE: Learning Visual Design for Text-to-Image Prompt Enhancement
Learning visual design is essential for prompt enhancement (PE) to turn underspecified user requests into coherent visual specifications for text-to-image (T2I) generation.MarineLife-16K: An Attribute-Rich Video-Text Dataset for Motion-Aware Marine Video Understanding
Marine video understanding is crucial for a wide range of real-world applications.Energy Efficient Lung Tumor Segmentation with a modified CBAM ENet Skip Model
Lung tumor segmentation plays a vital role in early detection and treatment planning of lung cancer.Can One Hear Geometry? Gauge-Invariant Spectral Descriptors for Text-to-B-rep Retrieval
Text-to-3D solid retrieval faces a fundamental representation gap: while natural language describes intrinsic shapes, Boundary Representation (B-rep) entangles precise geometry with arbitrary…ReSight: Task-Driven Self-Improving Memory for Embodied Agents
Robots can use historical observations to answer spatiotemporal queries in familiar environments, but the presence of relevant evidence does not imply that existing tools support the operations a…Explicit Frictional Contact Modeling in Neural Garment Simulation
Graph neural networks (GNNs) simulate garments efficiently through physics-based self-supervision, but leave body-garment friction implicit or inside training energies, with no friction coefficient…FreqPKC: Frequency-Aware PeakConv for Radar Semantic Segmentation
Automotive millimeter-wave (mmWave) radar has attracted increasing attention for semantic segmentation in autonomous driving, owing to its robustness under adverse weather and lighting conditions.Component Pooling Trained Across Orientations for Few-Shot Remote Sensing Scene Classification
Few-shot remote sensing scene classification (FSRSSC) aims to recognize novel scene categories from only a few labeled images.Promise and Limits of Cross-Architecture Knowledge Distillation for Lightweight Medical Vision Transformers (LiteMed-ViT)
Running deep models for medical image analysis at the point of care is challenging with standard architectures: convolutional neural networks (CNNs) are often too heavy for edge devices, while…Optimizing Physical Neural Networks through Device Variable Selection
Physical neural networks (PNNs) leverage device physics in electronics, optics, and related domains to enable energy-efficient neural networks.Patch-Derived or Register Tokens? Comparing Variable-Length Image Tokenizers
Image tokenizers convert pixels into compact latent sequences for efficient generative modeling.