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 131
TriSAR-3D and PaintFusion: A Novel Trimodal LiDAR-RGB-Thermal Dataset and Method for 3D Person Detection in Search and Rescue
Reliable 3D person detection is important for rescue robotics to give first responders situational awareness.Towards Reconstructing Geographically Diverse Architecture with 3D Foundation Models
Internet-scale photo collections of real-world landmarks have driven progress in 3D computer vision yet remain highly challenging for modern 3D foundation models (3DFMs) that estimate scene…Learning the Shared Latent Structure of Cryo-EM Inverse Problems
Understanding biomolecular function requires characterizing three-dimensional structure and conformational variability, for which cryogenic electron microscopy (cryo-EM) is a powerful tool.FlashControl: One-Step Controllable Generator via Distillation-Friendly Single-Stream Teachers
Diffusion models have become a leading approach in visual generative modeling, particularly effective in text-to-image and controllable generation.CFC26: Building Evaluations for Deployment in Sonar-Based Fish Counting
Accurate counts of fish populations are essential for monitoring ecosystems and making decisions for conservation, harvest limits, and river management.Generative AI Produces and Transmits Beauty Bias
Societies reward people judged to be attractive by standards intertwined with gender and race.Micro-Localization: High-Precision Mobile Robot Localization Using Microscopic Ground Texture
We demonstrate high-precision global localization using natural ground texture viewed through microscope optics, achieving localization in the tens-of-micrometers regime.Seeing Seizures: A Large-Scale Empirical Study of Video and EEG Deep Learning for Automated Rodent Seizure Detection and Severity Grading
Manual annotation of synchronized video and EEG recordings is a bottleneck in preclinical seizure research.Alignment of visual brain encoding models with individual perceptual similarity judgments
Encoding models that predict brain activation responses to images have traditionally been trained to maximize accuracy when predicting observed brain data.Stuck on Shuffle: On Attribute-Object Binding in Vision-Language Models
Retrieval is a fundamental task in multimodal systems: given an image or text query, the goal is to find the most relevant images or texts in a collection, often using a shared embedding space.Three LiDARs, Twenty-Five Datasets: Cross-Source Generalization in Tree-Species Recognition
FOR-species20K is the largest public LiDAR benchmark for tree-species classification, pooling 25 independently collected terrestrial, mobile, and airborne laser-scanning datasets across 33 species.ProactGen: Learning Proactive Clarification for Video Generation
Recent advances in video generation let users create high-quality videos from natural language descriptions, yet obtaining results that match user intent remains time-consuming: individual…Shift-Reliance Alignment: Ranking Vision-Language Models by the Cues They Trust
Vision-language models (VLMs) are usually chosen from leaderboards, which give one ranking for every application.LGGS: Longitudinal MRI Reconstruction via Guided Group Sparsity
Serial MRI is routinely performed in current clinical practice for disease surveillance and applications such as MR-guided radiotherapy.Is a Linear Probe Evidence of a Linear Representation?
The linear representation hypothesis holds that pretrained vision models encode generative factors as linearly decodable directions in feature space, and comes with a standard methodology: train a…Deep Learning for Deepfake Image Detection: Comparative Model Evaluation and Gradient-Based Visual Attribution
Synthetic facial imagery has made the distinction between authentic and generated content increasingly important for digital forensics and online trust.EgoP$^{2}$C: Internalizing Plan-Perceive-Compose for Spatial Reasoning in Egocentric Video
Answering complex spatial reasoning questions from egocentric video requires determining what evidence is needed, acquiring targeted observations, and combining them through multiple reasoning steps.Thinking from Above: Efficient Spatial Reasoning with Bird's-Eye-View Visual Tokens
Existing video multimodal large language models (MLLMs) organize observations primarily in time, but embodied spatial reasoning requires organizing them in space.HilbertGen-3D:Hilbert--Multifractal Conditioning for Topology-Aware 3D Generation
High-fidelity 3D generative modeling underpins game asset creation, medical imaging, and VR/AR environmental design, where geometric structure directly influences perception and decision-making.Improving OCR Accuracy Through Multi-Classifier Verification of Visually Similar Characters
Distinguishing visually similar characters is a persistent challenge for optical character recognition (OCR) systems, causing errors in critical applications of text digitization.