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 62
Vision Tomography: Towards Portable 3D Bidirectional Face-Skull Inference from Visual Data
Traditional computed tomography (CT) can capture paired 3D face and skull geometry, but it remains costly, fixed in location, and exposes patients to radiation.Efficacy of Monocular Depth Estimation in Lunar Environments
Recent advances in monocular depth estimation have demonstrated highly accurate 3D reconstructions within in-distribution terrestrial domains.Dynamic Merging Mutually-Distilled Multi-View Networks for RGB-Event-based Representation Learning
Multi-modal fusion algorithms combining conventional frame-based cameras and event cameras have recently attracted substantial research attention.Regional prediction of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients
Background The combination of hematoma location, expansion and final volume influence neurological outcome.StreamVibe: Proactive Video Agents for Evolving User Intent
Vision-language models are shifting from offline passive understanding toward online proactive interaction.Video World Models Need Predictable Latents
Video world models trained on large-scale robot data promise a safe and scalable approach for learning and evaluating policies that act in the physical world.Benchmarking Obstacle-Conditioned Safety in Household Robot Navigation
Safe household navigation requires robots to regulate clearance and speed according to what an obstacle is and how close it is, without unnecessary conservatism.Exploring perceptual straightness in learned visual representations
Humans have been shown to use a "straightened" encoding to represent the natural visual world as it evolves in time (Hénaff et al. 2019).Good Rankings, Poor Choices? Rethinking Language-Only Vision-Language Model Selection
Language-Only Vision-Language Model Selection (LOVM) aims to identify the Vision-Language Model (VLM) with the highest zero-shot accuracy on a target task using only textual information.From Speech Tokens to Stolen Voices: Attacker-Chosen-Text Speaker Impersonation via Representation Inversion
Speech interaction systems have gradually evolved from traditional cascaded systems that use text as intermediate information to end-to-end speech language models that directly process speech…RSKD: Grounding Semantic Consistency in Driving VLMs via Distillation
Knowledge distillation can transfer large multimodal models to compact models for autonomous driving, but uniform token-level matching can dilute planning-relevant semantics and amplify teacher…FGD2HF: Frequency-guided Dual-domain Hypergraph Fusion for Semantic Segmentation
Frequency-domain information is beneficial for semantic segmentation.From Sentinel-2 to 1-m Imagery: Real-World $\times 10$ Cross-Sensor Super-Resolution via Visual Autoregressive Modeling
Reconstructing 1-m imagery from Sentinel-2 combines two difficulties.SceneAgent: An Agentic Pipeline from 3D and 4D Captures to Simulation Environments
Visual captures provide detailed scene appearance, but converting them into interactive simulation environments requires object reconstruction, physical modeling, and correction of intermediate…Efficient Multi-modal Video Fusion Network with Dynamic Region-Guided Temporal Interaction
Multi-modal video fusion aims to generate temporally coherent videos with salient targets and rich structural details by integrating complementary information from heterogeneous sensors.Factorized Gradients for Scalable Highly-expressive Parametric Diffeomorphisms
Diffeomorphisms provide a flexible, topology-preserving mathematical tool for modeling complex spatial or temporal deformations and are used in various scientific fields.ToDoPro: Faster and Better Reference-Based Generation: Early Token Reduction via Downsampled Self-Probing
Recent generic reference-based image generation models natively support multiple conditions by concatenating all reference image and text tokens into a joint sequence processed by a single Diffusion…Natural Jammers: When Non-Robust Features Become Antagonistic
Deep neural networks are known to rely on non-robust features that align poorly with human perception.Towards Spatio-Temporal Intelligence Systems in Urban Space: A Twin-Agent Perspective
Cities must coordinate domains like infrastructure, mobility, environmental management, emergency response, and public services as conditions evolve.Selective Monocular Precession Estimation under Geometric and Evaluation Ambiguity: An Auditable Synthetic Study with ORBIT-SCOUT
Monocular observations of a tumbling object can support a precise fitted trajectory without establishing that the recovered physical axis is correct.