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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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 238
Video Generation Models: A Survey of Post-Training and Alignment
Video generation has rapidly progressed from short, low-quality clips to high-resolution, long-duration sequences with complex spatiotemporal dynamics.Align Then Reason: A Multimodal Lip-Sync Judge for Dubbing
Dubbing quality control requires a reference-free judge that can determine whether a candidate text line matches a speaker's visible articulation in both content and timing, using only silent video…Toward Controlling Biology with Language:Offline Learning of Prompt-Conditioned Interventions for Cells, Organoids, and Biobots
Artificial intelligence increasingly serves as a natural-language interface to complex technical systems, letting people accomplish sophisticated tasks by describing what they want rather than…What Makes High-Magnification Knowledge Transferable? A Study of Cross-Resolution Distillation in Whole-Slide Imaging
Cross-resolution knowledge distillation aims to improve low-magnification whole- slide analysis by transferring high-magnification representations, yet the conditions for useful transfer remain…FineART: Fine-Grained Annotated Robotic Trajectory Dataset and Vision-Language-Action Model for Bimanual Manipulation
Robots operating in real-world environments must often execute complex, multi-step bimanual tasks over long horizons rather than single, isolated actions.Losing the name before the box: measuring and repairing what narrow fine-tuning costs a detector outside its deployment vocabulary
A detector pretrained on a broad corpus is fine-tuned on a narrow domain, its in-domain accuracy improves, and it ships.Towards Scalable Context-Aware Single-Cell Spatial Transcriptomics Prediction from Histology Images
Predicting gene expression from H&E-stained histology images offers a scalable alternative to costly spatial transcriptomics, yet most existing methods operate at the spot level, where signals from…Temporal-Aware Fusion for Robust Outdoor LiDAR Localization
LiDAR relocalization aims to estimate the global 6-DoF pose of a sensor in the environment.RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance
Diffusion models enable high-quality visual generation, but iterative denoising remains computationally expensive, especially under classifier-free guidance (CFG), which requires both conditional…Merlin Plus: A Large-Scale, Multi-Cancer, Image-Mask-Report Dataset
Multi-cancer segmentation in computed tomography (CT) is fundamentally limited by the scarcity of tumor masks across different organs.DARE to Mitigate Hallucination: Dual-path Auto-Regressive-aware Editing
Large vision-language models (LVLMs) have recently achieved remarkable progress across multimodal tasks, yet object hallucination remains a persistent challenge where models generate descriptions…Online Versatile Incremental Learning: Towards Class and Domain-Agnostic Adaptation at Any Time
Continual learning enables vision systems to adapt to ever-changing data distributions.DynamicHOI: Coupled Dynamics for Physics-aware HOI Reconstruction
We study hand-object interaction (HOI) reconstruction from monocular RGB videos, where partial observations can produce visually plausible yet mechanically inconsistent trajectories.Fisher-IRG: Fisher-Induced Local Invariant Representation Geometry across Language and Vision Models
Semantic-preserving transformations can induce substantial motion in learned representations, while small changes may strongly affect model predictions, raising a basic question: what local metric…Staircase Policy: Streaming Inference for World-Action Models with Large Action Chunks
World-Action Models (WAMs) improve robotic manipulation by conditioning action generation on predicted future observations, but future prediction adds further inference overhead to already expensive…Similar Choices, Different Attention: Cross-Modal Associations in Humans and Vision-Language Models
Cross-modal associations are systematic pairings of features across modalities, such as the association of 'bouba' with round shapes and 'kiki' with sharp shapes.Benchmarking Vision-Language Models on Synapse Detection and Proofreading in Connectomics
We benchmarked vision-language models (VLMs) on the decisions annotators take when inspecting electron microscopy images in connectomics: synapse detection (presence and polarity) and proofreading…Reimagine Video Dynamics
Most video editing methods focus on changing the appearance of the source video, while offering limited control over its dynamics.Distilling Privileged Control Barrier Functions into RGB-Only Safety Filters for Dynamic Visual Navigation
RGB-only end-to-end visual navigation policies remain vulnerable to collisions in real-world dynamic environments, motivating a dedicated safety layer.Foresight at the Event Boundary: Evaluating Physical Prediction in Video World Models
Video world models are largely regarded as predictive models of the physical world and are therefore expected to anticipate the consequences of observed events.