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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 187
Masked Feature Encoding for Large-Scale Whole Slide Image Representation
Whole slide image (WSI) analysis in computational pathology follows a multiple instance learning (MIL) pipeline where patch embeddings are extracted independently and aggregated for slide-level…Geometry-Supervised Visual Representation Learning for Multi-Phenotype Lesion Interpretation in Medical VLMs
Medical vision-language models (VLMs) have shown increasing potential for clinical image interpretation.LoomSC: Scalable Deep Subspace Clustering with Projector Factorization and Exact Spectral Reduction
Dense self-expression matrices and full-affinity spectral clustering limit the scalability of subspace clustering.Video Prediction Policy 2: Predict Better, Act Better
World action models (WAMs) have emerged as an important class of generalist robot policies, aiming to transfer video prediction priors to action learning.Temporal Visuo-Tactile Learning for Dexterous Grasp Stability
Humans can grasp everyday objects with almost perfect success rates using fingertip tactile feedback, yet much of the robotic grasping literature emphasizes vision-based grasp selection with…$Δ$Representation: Geometry Supervised Representation Learning of Phenotypes via Counterfactual Reasoning for Medical VLMs
Medical vision-language models (VLMs) have shown increasing potential for radiological image interpretation.TouchScale: 500 Hours of Human Vision and Touch for Visual-Tactile Learning
Large-scale egocentric human interaction data is becoming an important source of physical supervision for embodied learning, yet video alone leaves the contact and pressure that characterize…On the Necessity of Attention-FFN Split in Vision Transformers
The standard Transformer architecture relies on a rigid pattern that alternates Attention and Feed-Forward Network (FFN) layers.One-Shot Adaptive Segmentation For Scientific Images
Scientific image segmentation methods rely on extensive annotation and task-specific training, limiting adaptation across imaging modalities and experimental conditions.From Digital Human Interactions to Physics-Based Humanoid Skills: Physics-Grounded Post-Training of Interaction Generators
Recent methods have made promising progress in generating interactions between two humanoids, largely relying on physics-based tracking policies to convert digital reference motions into executable…Performance at What Cost? A Sustainability-Aware Performance Index for Cell and Nucleus Instance Segmentation
Pretrained models for cell and nuclear instance segmentation differ substantially in architecture, pretraining data and objectives, parameter count, inference strategy, adaptation requirements…How Private is Private? A Comparative Study for Face De-Identification
Face de-identification (FDeID) has emerged as a critical privacy-preserving technology, yet its evaluation remains fundamentally fragmented.When to Unpair: Regulating Pairing Dependence in Medical Visual In-Context Learning
Visual in-context learning (ICL), well suited to label-scarce medical imaging, uses support image-label pairs to demonstrate input-output mappings, while the labels collectively indicate the…Position Forcing: Self-Conditioning 3D Generation
Recent single-stage 3D generative models commonly adopt VecSet representations, encoding 3D shapes as unordered sets of latent tokens.Real-Time Joint Audio-Video Generation by Parallel Adapter Composition
Deploying a joint audio-video diffusion transformer for real-time, interactive generation normally requires two essential modifications: block-autoregressive attention, so frames can be emitted…MultiFly: A Real-World Multimodal Aerial Dataset with Annotation-Efficient Label Transfer and Cross-Modal Semantic Consistency
We introduce MultiFly, a real-world, low-altitude UAV dataset for semantic perception across RGB, thermal, LiDAR, and radar modalities.PalmSpace: Towards a Versatile On-Palm Interaction Space through Unified Touch Modeling
As smart glasses and lightweight MR devices become increasingly practical, input remains a key challenge.RoboQuest: Generalist Physical Agents that Search, Inspect and Test
Recent advances in multimodal foundation models have made them capable generalist physical agents for a range of manipulation tasks.Explicit Geometric Chain-of-Thought for Vision-Language-Action in Autonomous Driving
Vision-language-action~(VLA) models have emerged as a promising paradigm for autonomous driving.MOTIP2: Spatial Priors for End-to-End Multi-Object Tracking
End-to-end multi-object trackers have narrowed the gap with classical tracking-by-detection on association-difficult benchmarks.