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 27
Fuse To Align: Multimodal Representation Learning for Retrieval via Hypergraph Regularization
Multimodal retrieval must integrate complementary evidence from views that may be missing, noisy, or unequally informative.EO-Jev: Decision Model for Earth Observation
Earth observation (EO) workflows require selecting among known outcomes, estimating confidence, and processing large volumes of imagery.Same Outputs, Different Scores: Auditing the Unchecked Graders of Multimodal LLM Benchmarks
Every multimodal-LLM multiple-choice benchmark ends with a scoring rule that converts a model's response, often free-form text rather than a clean option letter, into a right/wrong verdict, buried…ASCoR: Asymmetric Semantic-Spatial Learning for Remote Sensing Domain Generalization
Source-only domain generalization (DG) for remote sensing semantic segmentation seeks reliable predictions in unseen domains without target-domain data during training.Progressive Multi-Scale Super-Resolution via Cascaded Bicubic Anchors and Inter-Scale Mutual Refinement
Super-resolution networks are trained for one magnification factor, so several output resolutions require several models.TaoMate-FVSR: Audio-Guided Facial Video Restoration
Low-quality facial videos suffer from missing fine details, while AI-generated videos may additionally contain implausible teeth and lip movements that do not match the speech.TaoMate-HD: Progressive-Resolution Autoregressive Audio-Video Generation
Streaming digital humans produce detailed video while continuing speech as new text arrives.Image Guided Depth Upsampling using Anisotropic Total Generalized Variation
In this work we present a novel method for the challenging problem of depth image upsampling.VidDub: Replacement-Aware Distillation for Two-Step Video Dubbing
Video dubbing aims to synthesize lip movements that match target speech while preserving the speaker identity, head pose, and background of a source video.Circumventing Magnitude Collapse via Modular Two-Stage Open-Set Recognition
Open-set recognition (OSR) requires neural networks to classify known classes while rejecting unknown samples, which is critical for real-world deployment.Evaluating Depth-Augmented Visual Features for Cross-Dataset Lunar Traversability Estimation
Autonomous mobility is essential for sustained lunar surface operations, as communication delays and line-of-sight occlusions limit continuous teleoperation.Align Once to Explain: Feature Alignment for Scalable B-cosification of Foundational Vision Transformers
Foundational vision models have become the de facto standard for many vision tasks due to their strong performance.Intent2CAD: How Semantic-Parametric Supervision Shapes Text-to-CAD Generation
Text-to-CAD generation aims to make CAD modeling more accessible by generating executable CAD programs from natural-language descriptions.Bg-Mix: On Using Image Backgrounds for Data Augmentation in Electron Microscopy Images
Electron microscopy (EM) serves as a cornerstone in virology enabling the visualization of viral particles and is widely used in research, diagnostics and morphological characterization of pathogens.HIVE-Diff: High Frame Rate HDR Video Reconstruction from a Single LDR Frame and Events
High frame rate HDR video is important in applications such as autonomous driving and scientific imaging, where rapid motion and extreme illumination often occur simultaneously.Contrastive Adapter Training and Consensus Knowledge Distillation for Multi-Source-Free Domain Adaptation in Skin Cancer Diagnosis
Skin cancer diagnosis, particularly differentiating melanoma from benign nevi, is challenging due to the visual similarity between lesions.CoLa3D: Composable Latent 3D Decomposition
We introduce CoLa3D, a simple and effective model for composable 3D scene decomposition that, given a single whole-scene latent from either a single image or an existing scene mesh as input…PlantVLM-Edge: Quantized Vision-Language Models for On-Device Crop Health Diagnosis
Timely and accurate crop health diagnosis is essential for sustainable agricultural production, yet accurate diagnosis often requires expert knowledge that is not readily available.3D-BBDA: Backpropagation-Free Black-Box Domain Adaptation for Robust 3D Point Cloud Recognition
Robust 3D point-cloud recognition is critical for robotics, mapping, and urban sensing, yet point-cloud classifiers often suffer performance drops under domain shifts caused by sensor changes…Structured Visual Landscape: Generating Preferred Representations in Biological and Artificial Neural Networks
Understanding how neurons respond to visual stimulus is an important question in both deep learning and neuroscience.