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 90
Certified Abstention for Provably-Unidentifiable Index-Phase Recovery in Image Registration
Image registration underpins measurement across scanning, camera, and microscopy imaging, yet a fundamental question is rarely posed: when is the sample-to-position map recoverable at all, and when…Computer Vision and Knowledge-Grounded Language Models for Intelligent Beekeeper Assistance
Managed and wild bees sustain roughly a third of the global food products, yet colonies face mounting stress from climate-change including extreme weather patterns, altered parasite and disease…Latent space configuration for neural network finetuning, fast ranking, and embedding dimensionality reduction
Finding K most similar elements for a query in a large gallery of neural network (NN) embeddings is essential in various areas of computer science and industrial applications of artificial…Asking What a Director Sees Can Change What Vision-Language Models Choose
Vision-language models are now routinely tested on theory of mind: whether they can work out what another person sees, knows, and means.OpenMAP-HIE: Pathology Informed Score-based Diffusion Model for Unsupervised Neonatal Hypoxic-Ischemic Encephalopathy Lesion Segmentation
Accurate localization of neonatal hypoxic--ischemic encephalopathy (HIE) lesions on apparent diffusion coefficient (ADC) images is clinically important but is limited by scarce expert annotations…OACap: Caption-Guided Active Observation for Detailed Video Captioning
Unlike question answering, where a query specifies a perceptual target, open-ended detailed captioning must determine what evidence to acquire and how to integrate it into a coherent global…Reading the Mask: Descriptor-Grounded BI-RADS Rationale Generation for Breast MRI Segmentation
Deep learning based models accurately delineate tumours on dynamic contrast-enhanced MRI (DCE-MRI), but segmentation masks alone do not provide the rationales or reasoning used by radiologists to…Seeing through Denoising: Frequency-guided One-step Denoising for Infrared Small Target Detection
Infrared small target detection (IRSTD) is a challenging task due to the extremely small size of targets, low signal-to-noise ratios, and heavy background clutter in infrared imagery.AOV-GS: Active Open-Vocabulary Semantic Mapping with 3D Gaussian Splatting
Robots deployed in human-centered environments need maps that support both geometric navigation and open-vocabulary semantic queries beyond a fixed label set.AdvFidelity: Unifying Preference Alignment and Few-Step Image Generation within Reinforcement Learning
Practical image generation requires both human preference alignment and few-step efficiency, yet combining reinforcement learning (RL) with distillation is often multi-stage and may erode RL gains…FM-Occ: Feature-Diverse Upsampling and Memory-Aware Decoding for 3D Occupancy Prediction
3D semantic occupancy prediction estimates voxel-wise occupancy and semantic labels throughout a scene.Progressive Permutation Alignment with Temperature-Controlled Spectral Sharpening
In implicit neural representations (INRs), 3D signals are encoded directly in network weights, making stable weight-space operations essential.Region-Aware Multi-View Inspection Using Deep Learning and Domain-Informed Decision Fusion
Automated optical inspection of precision components with tiny surface defects remains challenging when different regions of the same component exhibit different defect characteristics and…VideoGen Model 1: Prompt Expansion Versus Formatting in Audiovisual Generation
Creative prompt expansion improved overall audiovisual quality scores over raw prompts in a controlled pilot of VideoGen Model 1, our post-trained version of MiniMax H3.LiveAct: Towards Real-Time Multi-Agent World Models with Heterogeneous Action Interfaces
Interactive video world models predict how an environment evolves under user actions, but most existing systems assume one controlled agent and one task-specific action interface.LLMSeg: Training-Free Text-Prompted Image Segmentation with B-Splines
Promptable segmentation models such as SAM 3 achieve remarkable open-vocabulary performance but require dedicated architectures, large-scale annotation engines, and task-specific training.CCG Diffusion: Combinatory Categorial Grammar-Driven Compositional and Syntactically Disambiguated Text-to-Image Generation
Text-to-image generation models do not explicitly receive the syntactic structure of the prompt, i.e., which word modifies which and where each phrase attaches.Look Beyond the Question: Preserve-Focus-Fuse for Whole-Slide Image Question Answering
A question about a whole-slide image rarely names every morphological finding needed to answer it.Sparsity Should Be ALLOTted by Output: Training-Free Allocation of Block-Sparse Attention for Video Diffusion Transformers
Full 3D attention is costly in video Diffusion Transformers.Beyond Shortcut Learning: Hierarchical Spatial Prototype Regularization for Face Forgery Detection
Recent advances in generative models have enabled highly realistic face forgeries, yet generalizing deepfake detectors to unseen manipulation pipelines remains a major challenge.