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 17
Learning from Unlabeled Photographs for General Oral Image Analysis
Oral photographs contain rich clinical information and hold significant potential for artificial intelligence applications; however, most models are trained for individual tasks and rely on costly…DenseTwins: Dense Modality Decoupling for Multimodal Self-Supervision
Multimodal perception is central to many computer vision applications, including robotics and autonomous driving, where different sensing modalities provide complementary cues.Cycle WAM: Coupling Action and Video through Cycle Consistency
Recent advances in video modeling have driven substantial progress in world action models (WAMs).VISAGE: Vertex-based Intrinsic Surface Appearance GEneration via Dual-Stream Diffusion for Arbitrary 3D Heads
Recovering identity-faithful, physically based surface appearance for 3D human heads from sparse images remains challenging.SPOD: Recovering Suppressed Temporal Evidence in Video-LLMs via Single-Pass Orthogonal Decomposition
Video Large Language Models (Video-LLMs) have achieved strong performance on many video understanding tasks, yet remain vulnerable to temporal hallucination in time-sensitive reasoning scenarios…TEXMET: A Deep Learning Benchmark for Archaeological Textile Reconstruction
The reconstruction of fragmented historical textiles presents a significant challenge in computational archaeology.Bounded AUKS: A Novel Evaluation Metric for Anomaly Detection via Bounded Area Under the Kolmogorov--Smirnov Curve
Recent literature widely used global metrics such as AUROC and AUPRO to quantify the detection performance.iMED: A Multi-Endoscope Dataset for Surgical 3D Perception
We introduce iMED, the first synchronized multi-endoscope dataset for robot-assisted minimally invasive surgery (RAMIS), designed to address a fundamental limitation in surgical vision benchmarking…Beyond Local Refinement: Wide-Area Precise Cross-View Localization
Fine-grained cross-view localization aims to precisely localize a ground camera against geo-referenced aerial imagery, but current methods typically assume a narrow geographic prior, substantially…Pixel-space video generation with U-JiT
Latent diffusion and flow matching models are ubiquitous in state-of-the-art generative video models.LIPS-PC: Learning Illumination Patterns for Single-Pixel Classification
In single-pixel (ghost) imaging, known illumination patterns probe an object and a detector with no spatial resolution returns one number per pattern.NightIQA: A Comprehensive Dataset and Benchmark for MLLM-Based Nighttime Image Quality Assessment
Nighttime images are inherently susceptible to complex, compound degradations, making accurate quality assessment exceptionally challenging.Radial distortion homography estimation from affine-covariant or orientation-covariant features
We present minimal solvers for joint homography and radial distortion estimation using affine- or orientation-covariant features.Trusting Imagined Futures: Auditing Imagined Rewards for VLA Post-Training
Video world models enable candidate actions to be evaluated through imagined outcomes, but high predicted rewards can favor trajectories with poor execution quality.OCR in the Foundation Model Era: From Specialist Models to Unified Models
Optical Character Recognition (OCR) is among the oldest and most widely deployed applications of artificial intelligence.VisSearch-Bench: Evaluating Long Horizon Visual Search in Multimodal Agents
Multimodal agents use web and image tools to answer questions beyond their internal knowledge.Heads That Write, Not Just Point: Image Retrieval Heads in Vision-Language Models
Large vision-language models (LVLMs) can process interleaved text and multiple images in a single context, but how they internally identify the image relevant to a question remains poorly understood.MiCaDe: Online LiDAR-Camera Miscalibration Change Detection for Autonomous Driving
Reliable multi-sensor perception in autonomous vehicles requires accurate calibration between cameras and LiDAR.EP-LVMQA: Evidence-Preserving Coarse-to-Fine Localization for Low-Quality Long Video Moment Question Answering
Long instructional videos are increasingly used in medical education, industrial training, and procedural knowledge transfer, yet their evidence is often incomplete or unreliable: subtitles may be…Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling
Video generation has progressed from isolated clips to coherent short-form audiovisual sequences, and the bottleneck is shifting from rendering to semantic control.