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 171
RealityBench: Simulated Environments to Evaluate a Vision Language Model's Ability to Document Human Physical Work
Augmenting worker capabilities in the physical world through guidance has been a decades-long goal for AI agents.VisualCoding: Learning Executable Skills for Reliable Visual Reasoning
Learning reusable skills can improve visual reasoning agents, yet applying a skill still requires the agent to implement or invoke a procedure and produce the final answer.Neural Block-wise Auto-exposure for Single-Shot High Dynamic Range Imaging
Block-wise varying exposures are effective for cap- turing appearance of a real-world high dynamic range (HDR) scene via a single-shot.Mid-Training Language Models on Raw Video
Multimodal large language models learn mostly from paired image-text data or annotated video, and raw web video is rarely used to further train an existing language model.Expression-Diverse References for Identity-Preserving Video Generation
Identity-preserving video generation aims to maintain a subject's identity while synthesizing realistic videos.Transforming Image Editors into Video Editors
Recent image editing systems have achieved impressive semantic understanding, visual fidelity, and instruction-following ability, while video editing remains substantially more difficult and costly.Rendering-Free Lookahead for Question-Guided Active Vision
Active robot vision requires controlling the camera to reveal task-relevant information that is hidden from the current viewpoint.SatFix: Absolute Visual Localization of UAVs in Satellite Maps from a Single Oblique Image
We study absolute metric UAV localization within a provided geo-referenced satellite region, recovering continuous map position and viewing heading from a single oblique image or a short multi-view…Learning What to Trust in Multimodal Learning under Noisy Supervision
Multimodal classification processes and relates information from multiple modalities to achieve more accurate predictions.Refine Connections, Close the Gap: A Reliable Enhancement Framework for Driving Scene Topology
In autonomous driving, understanding scene topology - the connectivity between lanes and traffic elements - is critical for safe path planning and motion control.AffordDrive3D: Affordance-Aware World-Action Modeling with Spatial Understanding
World-action models have recently improved autonomous driving by jointly learning future scene prediction and trajectory generation.Diffusion Meta-Prompting and Steering for Generalizable Foundation Model Adaptation
Prompt learning is a popular method for adapting foundation models, but learned prompts are typically task-specific and fail to generalize to new classes, domains, or compositions of tasks.No Distillation Needed: Single-Pass Real-Time Talking Heads via Acausal Noise Shaping
Audio-driven facial animation underpins real-time avatars, telepresence, and embodied virtual agents.Contrast Enhancement or Noise Reduction? On Improving Cervical Cancer Classification
Cervical cancer is one of the leading causes of mortality worldwide.Continuous Ground-Truth Construction and a Recovery Policy for Air--Water Robotic Tracking
Visual tracking across the air-water interface is challenged by splashes, bubbles, refraction, reflections, and abrupt appearance changes that can temporarily invalidate observations.Skeleton-Guided Progressive Test-Time Adaptation for Thin Curvilinear Structures
Accurate segmentation of thin curvilinear structures is vital for various real-world applications, from vessel analysis to road extraction.TKCAM: Text and Keyframe to Camera Trajectory Generation
Generating high-quality and controllable camera motion is essential for AI-assisted cinematography, video synthesis, and 3D scene understanding.False Claims, Credible Images: A Red-Teaming Benchmark for Commercial Image Generators
Image-generation models can now produce text-rich, natural-looking visual artifacts that are hard to distinguish from real-world evidence, such as news reports and textbook pages.DiscoVL: Unveiling Disentangled C ross-Modal Representation Learning via Orthogonal Adversarial Regularization for V ision-Language Models
Pre-trained vision-language models excel across varied perception tasks, but adapting them to novel downstream settings without sacrificing generalization remains non-trivial.MCL: Meta Convolution Layer
Dynamic convolution enhances convolutional neural networks (CNNs) by adapting kernels to input content, but it expresses the effective kernel as a linear mixture of a small number of basis kernels…