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 28
Reviso: Not All Visual Evidence Deserves Equal Attention in Video Captioning
Multimodal large language models (MLLMs) can generate detailed video captions, yet they may overemphasize minor details while overlooking essential context and key events.Isekai3D SDG: A Platform for Diverse Synthetic Gameplay Visual Data
We present Isekai3D Synthetic Data Generation (SDG), a platform for simulating and capturing synthetic 3D gameplay for research in vision and world models, neural graphics, gameplay agents, and…EgoActionBench: Benchmarking Dense Action Captioning for Egocentric Human Videos
Learning from human data offers a scalable path toward embodied intelligence, yet it requires models to accurately understand fine-grained human actions from egocentric observations.Pixel-UMI: Learning Environment-Aware Whole-Body Manipulation from Sensorized Human Demonstrations
Sensorized human demonstrations offer scalable data for mobile manipulation, but embodiment differences complicate policy learning.Pixel: A Co-Designed Full-Stack Robot System for Learning General-Purpose Mobile Manipulation
General-purpose mobile manipulation requires a combination of capable robot hardware, scalable demonstration collection, expressive whole-body control, and effective policy learning.Beyond Proposals: Region-Consistent Open-Set Object Detection
Open-set object detection (OSOD) suffers from a fundamental limitation under dense proposal mechanisms: highly overlapping proposals associated with the same object are often assigned contradictory…VagueBench: Benchmarking the Robustness of Embodied Agents on Ambient Context Illusions
Embodied agents are increasingly deployed in open-world environments, yet current robustness evaluations remain biased toward hazardous instructions and jailbreak vulnerabilities.FlowRig: Unified Skeleton Generation for 3D and 4D Meshes via Flow Matching
Automatic rigging is a fundamental task for both static 3D and dynamic 4D mesh animation, yet existing methods do not provide a unified feedforward solution for these two settings.CoReMatch: Recurrent Continuous Coordinate Refinement for Real-Time Robotic Feature Matching
Feature matching underpins many robotic perception tasks, including visual localization, mapping, SLAM, and autonomous navigation.Geometric Refinement and Distributional Alignment for Sim2Real Roadside LiDAR Detection
We describe our approach to the LUMPI track of the UrbanTwin Sim2Real LiDAR Challenge, in which a 3D object detector must be trained exclusively on synthetic data and evaluated on unseen real…FlowBench: Counterfactual Imagination Training for Spatial Intelligence
Humans imagine scene changes under hypothetical motions, an ability central to spatial reasoning and robotic planning.Coordinate Frame Recovery, Per Class NMS and Null Return Modelling for Sim2Real V2X LiDAR Detection
We describe our approach to the V2X-Real track of the UrbanTwin Sim2Real LiDAR Challenge, in which a 3D object detector must be trained exclusively on synthetic data and evaluated on unseen real…Camera Radar LiDAR Fusion via Point-Cloud Projection for Multi-Task Learning
Autonomous vehicles require robust perception systems to operate safely under diverse environmental conditions.Do We Still Need Rotation-Invariant Architectures? A Statistical Robustness Benchmark for Point Cloud Classification
A substantial line of work builds rotation invariance directly into point cloud architectures.A Novel Conditional Adversarial Diffusion Model for High-Fidelity OCT-to-OCT Image Translation and Precise Anti-VEGF Therapy Response Prediction in Diabetic Macular Edema
Diabetic macular edema (DME) is a leading cause of severe vision loss among working-age adults.Evaluating the Impact of Nonlinear Registration on Longitudinal PET Analysis in a Rodent Stroke Model
Longitudinal rodent positron emission tomography (PET) studies of stroke and neuromodulation rely on accurate registration to a common atlas space to detect group-level effects.SurgEye: Instruction Tuning-Free Perception-Reasoning Framework for Surgical Scene Understanding
Surgical scene understanding is pivotal for computer-assisted intervention, yet demands compositional reasoning across instruments, anatomy, and workflow.DUNEDepth: Bronchoscopic Depth and Pose Estimation via Hybrid Adaptation of a 3D-Vision Foundation Model
State-of-the-art bronchoscopy guidance systems and computer-aided diagnosis methods have emerged as important tools for early lung cancer detection.Compression Forcing: Hierarchical History Tokenization Enables Flexible World Models
Effective world modeling requires compressing salient history information that facilitates future prediction.Do Pretrained Backbones Transfer to Physical Sensors? A Systematic Study of Multimodal Initialization Across the Sensor Stack
Transfer learning from pretrained backbones has become standard practice in multi-sensor computer vision---yet two questions remain open: which pretrained weights transfer best to multi-sensor…