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 101
Deep Learning-Based Road Lane Quality Assessment from Egocentric Dashcam Video
Reliable lane markings are important for both human drivers and automated driving systems, but their condition is still commonly assessed through manual inspection.SenseAlign: Understanding Vision and Touch through Language at Test Time
Tactile-visual-language models combine vision and touch through a shared language space to recognize objects and materials.Touch-JEPA: Tactile Representation Learning from Hand-Object Video with Limited Tactile Supervision
Understanding contact and tactile magnitude in hand-object interaction is a key step toward physically intelligent systems, yet learning such representations is limited by the cost and restricted…Latent Bridge: From Video Latents to 3D Geometry via Feature Alignment
Video generation and feed-forward 3D reconstruction typically use separate representations, requiring RGB decoding and visual re-encoding to recover geometry from generated latents.VLM-Guided Contact Retargeting and Generative Partner Modeling for Humanoid-Human Interaction
Humanoid-human interaction requires robots to operate under severe partial observability: during close physical contact, the human partner is occluded, truncated, or outside the robot's field of…Copyright Leakage Detection in AI Generated Videos
Video generation models can create realistic-looking video footage from images and text prompts.CoGaussian: Open-Vocabulary Gaussian-based Collaborative 3D Scene Understanding
Collaborative perception enables agents to retrieve the scene semantics and geometry beyond the field of view of any individual agent.Predictive Latents for Autoregressive Language Models: Possibility, Gauge, and Obstruction
Autoregressive language models are trained by next-token cross-entropy, yet several recent systems also iterate a hidden state without emitting a token: continuous thoughts, pause steps, and…OverSeer: Multi-Agent World Models Beyond What Agents See
Despite the success of video world models, extending them to multiple agents is difficult because it requires generating several agent-specific video streams that are consistent in time and between…Continual Concept Personalization in Diffusion Models via Residual-Space Adaptation
Text-to-image personalization aims to equip pretrained diffusion models with the ability to learn user-specific concepts from only a few reference images.Can a Display Be Used for Rapid LiDAR-Camera Extrinsic Calibration?
ScreenCalib enables light detection and ranging (LiDAR)--camera extrinsic calibration using an ordinary programmable display, providing known visual markers and controlled geometry while reducing…SceneRig: An Agentic System for Simulation-Ready 3D Scene Reconstruction from Single Images
Simulation is a powerful tool for robotics, but building diverse, simulation-ready scenes at scale remains difficult.WildMAE: Structure-Aware Masked Autoencoding for Wildlife Image Reconstruction
Camera-trap imagery presents substantial variation in animal appearance, illumination, background clutter, and visual degradation.Learning the 4D World through Point Trajectory Forecasting
Reliable multi-view forecasting requires videos from different cameras to describe the same evolving 3D scene.Neural Implicit Energy Optimization for LiDAR Mapping
Neural implicit representations provide memory-efficient signed distance field (SDF) parameterizations for large-scale LiDAR scenes, but the geometry recovered from sparse and often noisy inputs…KoalaGS: Complexity-Aware Continuous Level of Detail for Gaussian Splatting
Deploying a trained 3D Gaussian Splatting scene under shrinking compute budgets requires one primitive set to remain effective when rendered at smaller prefixes.MindView: Benchmarking Generative Multi-View Spatial Intelligence
Spatial intelligence has recently been assessed through generative tasks such as spatially grounded image editing, yet language-guided generation of spatially consistent views from partial…PsycheMME: A Psychology-Informed Benchmark for Social Understanding and Interaction in Videos
Understanding human needs and selecting responses require distinct judgments that aggregate accuracy can obscure.UniWALM: Unified World Action Language Model for Embodied Robot Control
Motivated by the human ability to integrate experience across language, perception, and action, we introduce UniWALM, a unified world-action-language model that learns video, action, and language in…Learning Adaptable Dexterous Skills via Hybrid Dexterous Mimicking
Dexterous multi-finger hands hold promise to unlock diverse skills like functional grasps, in-hand reorientation, and dynamic handover that the human-designed world assumes, yet existing learning…