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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: 4,999 arXiv preprints and 1 OpenAlex record.
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Newest papers, page 152
KARAMEL: Knowledge-Aware Ranking for Multimodal Entity Linking in the Arts via Heterogeneous Graphs
Discovering and disambiguating entities from multimodal and heterogeneous data is a key challenge in discovery science, where relevant knowledge is often implicit and distributed across modalities.Deep Learning-based Mechanical Characterization of Synthetically Generated Plant Fibers under Transverse Compression
Plant fibers are increasingly used as sustainable reinforcements in composites, but the intrinsic variability of their microstructure causes substantial scatter in transverse mechanical behavior…Heuristics are Not Enough: Calibrated and Corrected Caching for Video Diffusion Acceleration
Feature caching has become a mainstream training-free strategy for accelerating video diffusion models by reusing intermediate outputs across denoising steps.NoduleFlow: Automatic 3D Lung Nodule Detection and Segmentation
Low dose Computed Tomography (CT) is the standard imaging modality for lung cancer screening.VLA-GAUGE: Systematically Evaluating Generalization and Robustness in Vision-Language-Action Models
Vision-Language-Action models (VLAs) have achieved high success rates on familiar manipulation tasks, yet it remains unclear whether such scores reflect genuine zero-shot generalization and…Dense Endoluminal Mapping and Localisation from Monocular Bronchoscopy
Bronchoscopy inserts a camera through the airways to diagnose endoluminal disease.CineRecon: Benchmarking Frontier Models for Agentic Cinematic Reconstruction
Reconstructing reference videos as editable dynamic 3D scenes is an important path toward controllable video generation for filmmaking: these scenes provide modifiable, renderable visual proxies…Variational Filtering for Bayesian Last Layers with an Independent Binary Probit Surrogate
Modern deep classifiers trained by gradient descent need many passes over the data to become accurate, and even then are not always well calibrated; post-hoc temperature scaling corrects calibration…Code-Interactive Visual Reasoning for Financial Candlestick Understanding
Financial candlestick understanding requires locating visual elements, aligning them across trading dates and panels, and combining observations through numerical and financial reasoning.JtT: Rethinking Point Trajectory Diffusion for Diverse and Rigid Motion from an Image
We study forecasting rigid-body motion from a single image: generating diverse and physically plausible future trajectories for arbitrary points in a scene, without building rigidity into the…Uncertainty-Aware Cortical Surface Reconstruction and Spherical Registration for Heterogeneous Brain MRI
Surface-based cortical analysis is useful in many applications as it is a natural way to model the highly folded structure of the cerebral cortex, allowing quantities such as curvature and thickness…Detecting Chain-of-Thought Hijacking in Backdoored Multimodal Large Reasoning Models
Chain-of-thought (CoT) reasoning enables multimodal large reasoning models (MLRMs) to solve complex visual problems, but also exposes them to CoT hijacking: an adversary implants a backdoor through…Answer It or Not? Towards Prompt-Adapted Adversarial Images on Vision Language Models
With the advancement in language modeling, research on adversarial images has recently shifted from image classifiers to vision-language models (VLMs).Adaptive Interaction Network for Human Motion Prediction During Human-Robot Collaboration
Human motion prediction during human-robot collaboration is critical for achieving safe and efficient interactions in shared environments.REEL: Learning to Retrieve, Evaluate, and Evolve Visual Memory for Any Long-Horizon Multi-Shot Video Generation
Memory-based long-video generation aims to combine user control with long-range visual consistency.Language2Drive: Do Vision-Language-Action Models Really Follow the Instructions in Autonomous Driving?
Recent Vision-Language-Action (VLA) models increasingly use natural-language instructions to condition autonomous driving behavior.Revisiting Natural Language Prompts from Large Language Models for Open-Vocabulary Video Recognition
Vision-language models (VLMs) like CLIP have shown great success in image tasks, however, applying CLIP to open-vocabulary video recognition poses challenges.EvoSpatial: Experience-Driven Skill and Tool Evolution for Spatial Reasoning Agents
Spatial reasoning agents can inspect tool outputs and repair errors, but reusing these lessons requires preserving both the computation and the conditions that make it valid.3D-VITAL: Visibility-aware Identity Training from Artificial Liftings of 3D Reconstruction model for Cross-View Object Re-Identification
We address the Cross-View Object Re-Identification (ReID) task, aiming to match identities across drastically different viewpoints.Lost in Contrast: Instruction-Preserving Decoding for Reliable Visual Question Answering
Visual contrastive decoding corrects answers using the prediction difference between the original image and a reference condition, yet the same contrast also turns supported abstentions into…