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 10
Beyond Scene Shortcuts: Action-Centric Video-Text Alignment for Fine-Grained Action Understanding
Fine-grained action understanding requires vision-language models to ground what an agent does, how it acts, and why it acts in spatio-temporal evidence.Prism: Bidirectional Self-Teaching for Unified Multimodal Models
Unified Multimodal Models (UMMs) aim to support visual understanding and generation within a single model.Traffic-VL: Reinforced Vision-Language Models for Generalizable End-to-End Traffic Signal Control
Existing traffic signal control methods typically rely on structured traffic states produced by dedicated perception pipelines.FlashRelight: Portrait Video Relighting with Dynamic Lighting
Portrait video relighting aims to modify the illumination of a portrait video while preserving photorealism and temporal stability.NanoKV: High-Ratio KV Cache Compression for Autoregressive Video Generation
Autoregressive video models rely on historical key-value (KV) caches to preserve scene consistency over extended rollouts, making KV storage and repeated attention over history a growing memory and…UniLoop: Unified Loop Closure Detection from Retrieval to Geometric Verification and Relative Pose Estimation
Loop closure detection conventionally cascades separate models for global retrieval, geometric verification, and relative pose estimation, leading to redundant computation and disconnected visual…A Bag of Tricks for Defending Deep Learning-based Face Recognition Pipelines against Backdoor Attacks
The protection of mature, multi-stage Face Recognition Systems is crucial to system providers.Entropogram-guided Visual Realignment Decoding: Capturing the Rhythm of Multimodal Reasoning
Multimodal large language models (MLLMs) have demonstrated remarkable progress on cross-modal reasoning tasks, yet they continue to suffer from hallucinations in long-chain reasoning processes.Unaligned Image Guided Denoising via Cross-modal Conditional Flow Matching
This work presents UGD-FM, a novel unaligned image guided denoising framework based on cross-modal conditional flow matching.TOP: Transmission-Oriented Remote Sensing Pansharpening
Pansharpening has been extensively studied as a fundamental image fusion task in remote sensing.DreamRealm: Exploring and Materializing Hallucination Worlds for Trustworthy Vision-Language Models
Multimodal large language models (MLLMs) remain prone to visual hallucinations when correct responses depend on subtle visual details.Within-Family EfficientNet Scaling under Fixed-Resolution Transfer Learning for Spectral-Domain Optical Coherence Tomography Retinal Disease Classification
Background/Objectives: CNNs perform well in retinal disease classification from spectral-domain optical coherence tomography (SD-OCT), but whether EfficientNet's natural-image scaling hierarchy…Beyond Infraction Scores: Failure-Boundary Profiles for Closed-Loop Evaluation of Driving and Robot Navigation Agents
Closed-loop driving benchmarks in CARLA rank agents by a driving score that multiplies route completion by an infraction penalty.CoDecide: Content-Adaptive Video Decoding for High-Throughput Video Analytics
Analytics on video archives are bottlenecked by decoding.A 3D foundation model unifying CT interpretation and segmentation
Radiologists interpret computed tomography (CT) scans by jointly determining what a finding represents and where it lies in three-dimensional (3D) anatomy.Object-independent evaluation of small-data astronomical image classifiers: architecture, representation, and acquisition shortcuts
Reported performance in small astronomical image datasets can reflect object reuse, field-of-view differences, acquisition settings, and catalogue-derived properties as well as astronomical…EmoReward: Self-Evolving Reward Calibration for Emotional Video Generation RL
Group Relative Policy Optimization (GRPO) has advanced generative model post-training in verifiable domains such as code and mathematics, but evaluating video quality, especially emotional…Spatially and Compositionally Controlled Multimodal Glioblastoma MRI Synthesis with Latent Diffusion
Glioblastoma exhibits substantial heterogeneity in tumour morphology and composition across MRI modalities, often making available clinical datasets highly unbalanced in terms of patient pathologies.MKD2World: A Typed Spatial MarkDown World Model For Web Agents
Graphical user interface (GUI) agents can improve decision-making with world-model foresight, provided that predicted states accurately reflect post-action interfaces.LungMend: A Healthy-Only Latent Diffusion Shape Prior for Lung Mask Correction in Severe Tuberculosis CT
Lung segmentation models such as R231 are widely used, but they fail on severe tuberculosis (TB) CT: cavities and consolidations look like non-lung tissue and are left out of the mask.