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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HistoLoop: Iterative Contextual Inference with a Looped Transformer for Histology-Based Spatial Gene Expression Prediction
Predicting spatial gene expression from H&E images offers a scalable complement to experimental spatial transcriptomics.Auto-Director: Leveraging Multi-Agent Collaboration for Autonomous Video Editing
Autonomous video editing from open-world resources remains a challenging problem in multimedia content creation.Gated Prototype Transfer for Zero-Support Medical Vision Language Model
Realistic few-shot adaptation of medical vision-language models (VLMs) can leave low-prevalence classes without any labeled support.RayCo4D: Ray-Conditioned Continuous Motion Model for Monocular 4D Dynamic Reconstruction
Reconstructing dynamic 3D scenes from monocular video requires inferring motion from noisy and intermittently visible observations.S-Agent 2.0: Spatial Reasoning with a General Coding Agent
Spatial reasoning asks a model to work out where objects are in 3D space, how they relate to one another, and how they move.CountVideoBench: A Benchmark to Evaluate Prediction Biases on the Object Counting task by Video-Language Models
Object counting in videos remains a poorly characterized capability of multimodal large language models.RACE: Learning Multimodal Search through Referential Abstraction and Compositional Evidence
Training multimodal search agents requires tasks that make visually grounded search necessary for determining the answer.VisualEvolve: A Skill Self-Evolution Framework for Visual Reasoning
Visual tool use enables vision-language models (VLMs) to acquire task-relevant evidence, but its effectiveness can be limited by predefined visual operations and the tool-use strategies learned…StreamEval: Evaluating Interactive Streaming Video Generation Models
As streaming video generation advances, enabling real-time interaction with generated video is becoming increasingly important.A Multi-Agent Framework for Automated Machine Learning with Evidence-based Planning for Medical Image Analysis
Deep learning has become the default tool for medical image analysis, driven by the open-source movement.Brain2Vec: A Self-Supervised 3D Foundation Model for Structural Brain MRI
Deep learning models have become essential tools in medical imaging, yet training them end-to-end for diverse tasks remains challenging due to limited labeled data and computational constraints.Code2Video-Compass: A Comprehensive Benchmark for General-Purpose Code-Based Video Generation across T2V, I2V, and V2V
Code-based video generation offers fine-grained control, targeted editing, and component reuse compared with direct video generation.DISTRACT: Degradation-Indexed Study of Textual Reference Across Competing Targets
Vision-language trackers (VLTs) accept descriptions intended to assist tracking, but accepting text does not establish that its content changes tracking decisions, particularly as visual evidence…WorldSR: Harnessing World Knowledge Search for Grounded Image Super-Resolution
Generative-prior-based super-resolution (SR) methods leverage implicit knowledge learned from large-scale models to enhance low-resolution inputs.EvaOmni: An Evidence-Grounded Benchmark for Audio-Visual Reasoning
Omni LLMs can naturally locate key audio and visual evidence and integrate information across modalities for audiovisual reasoning.LocaLeJEPA: Maximum Entropy Representations under Geometric Priors
Joint-Embedding Predictive Architectures (JEPA) offer an appealing approach to self-supervised learning, but are typically prone to representation collapse.Answering in the User's Variety: Calibrated Accommodation Pairs for Post-Training
People adapt how they talk to the person in front of them.CLOSER: Evidence-Aware Active Visual Verification for Embodied Object-Goal Navigation
Object-goal navigation (ObjectNav) requires an embodied agent to find an instance of a specified category in an unseen environment and stop near it.Learning from Automatic 3D Gaussian Splatting Edits for Online Bayesian Scene Change Detection
Online scene change detection requires integrating incoming observations to determine which regions have changed relative to a reference scene.GazeLens for Efficient Egocentric Video Question Answering with Simple Gaze-Driven Adaptive Token Reduction
Smart glasses can help users understand their activities and surroundings, but small vision-language models must preserve useful evidence within limited computation.