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 31
GatedVLA with Camera-Based Emergency Braking: AlpaSim E2E Closed Loop Challenge Technical Report
This report presents GatedVLA, our entry for the Physical AI AV (PAI-AV) track.Learned optical compression for single-pixel quantitative phase imaging
Quantitative phase imaging (QPI) reveals optical path-length variations in transparent objects but typically relies on spatially resolved intensity measurements.MMCoT$^3$: Empowering 3D Scene Understanding with 3D-Text Interleaved Multi-Modal Chain-of-Thought Reasoning
Understanding and reasoning over 3D scenes from point clouds is essential for a broad range of AI applications.Leveraging 2D Foundation Priors for Generalized Category Discovery under Test-Time Adaptation in 3D LiDAR Segmentation
In autonomous driving, 3D LiDAR semantic segmentation is expected to adapt to evolving environments and recognize previously unseen categories, making generalized category discovery under test-time…GaitFM: A Cross-Modal Foundation Model for Wearable Gait Assessment
Gait assessment supports the diagnosis, monitoring, and prognosis of diverse movement-related conditions, such as neurological and musculoskeletal disorders.SEALECT: Scene-Conditioned Pose Priors for Plausible Maritime Vessel Retrieval
We address scene-conditioned object retrieval for compositional augmentation in maritime imagery, where strong geometric constraints make appearance-only retrieval produce physically implausible…Restoring Semantic Fidelity for Training-Free High-Resolution Image Generation in Diffusion Transformers
Diffusion Transformer (DiT)-based text-to-image models have recently achieved remarkable success in image synthesis.Fréchet Oral Distance: A Coordinate-Free Metric and Benchmark for Speech-Driven Oral Animation
Recently, speech-driven facial and oral animation technologies have been used in various fields such as education, speech therapy, and healthcare.Deep Learning for Cervical Cytology Screening: Methods, Algorithms, Challenges and Prospects
Cervical cancer remains a leading cause of cancer death among women, with more than 90\% of deaths occurring in low- and middle-income countries, where cytology screening is constrained by a…RSI-Env: An Open-Ended Environment for Recursive Self-Improvement of Agents
Recursive self-improvement (RSI) envisions agent systems that autonomously improve their own models and harnesses, with each updated system continuing to improve itself.Teleoperation System for Service Robots using Virtual Reality Headset and Pose Estimation
This paper presents a teleoperation system for service robots that integrates human pose estimation with virtual reality (VR) to enable intuitive remote control.FinishStrong: Learning to End Well after Imperfect Start in Video Temporal Grounding
A poor start lowers the ceiling, but does not negate the value of finishing well.OCBI: Order-Sensitive Cross-Branch Interaction for Image Manipulation Localization
Image manipulation localization combines semantic structure with forensic traces to identify modified pixels.Detection Instead of Inversion: T1-T2 Microstructure Quantification With Detection Transformers
T1-T2 correlation MRI has strong potential to quantify microstructural compartments without imposing a biological model.RIFT: Residual-Informed Flow Transfer for One-Step Generative Video Compression
Recent advances in video generation have enabled generative video compression to reconstruct details lost during coding using pretrained spatiotemporal priors.When Does Latent Prediction Error Support Physical Surprise Claims in Video World Models?
Prediction errors from video world models are often treated as physical surprise, but they can also reflect appearance, static content, motion, or ordinary prediction difficulty.RCFormer: Reliability-aware Context Transformer for Occlusion-Robust Facial Landmark Detection
Facial landmark detection has advanced substantially under regular imaging conditions, yet occlusion, poor illumination, and large pose changes remain major sources of error because local facial…LUMEN: Geometry-Guided Diffusion Model for Spatially-Varying HDR Illumination Estimation
Estimating scene illumination from images is challenging as lighting is inherently spatially varying, depending on geometry, occlusion, and light sources.Z-Cache: Accelerating Diffusion Transformers via Self-Reflection
Diffusion transformers have become the most powerful models for visual generation, but still suffer from massive computation costs.Biological Congruence: Evaluating Microscopy Generation Across Representations
Generative models increasingly produce realistic microscopy images, yet conventional evaluation primarily characterizes visual fidelity and distributional coverage rather than the biological…