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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 61
Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction
Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory and computational demands limit their use in resource-constrained settings.Sparse tensor networks for individual tree diameter estimation in mixed forests
Measurements of tree diameter at breast height (DBH) are fundamental to forest inventories, but manual surveys across entire stands or regions are impractical.TACOS: Terrain-Aware COntact Supervision for Visual Footstep Planning
Humans navigate their environment based on their vision system, anticipating how the ground will respond before committing to a step.GOFish: Full Field-of-View Gaussian Splatting and Mesh Extraction
Robots, autonomous vehicles, and consumer 360° cameras use fisheye lenses for wide fields of view (FoVs).Learning Without Clocks: Partition-Invariant Neural Network
Event cameras, spiking cochleas and similar sensors emit asynchronous events, yet most learning systems first bin them into frames or packets, so the output depends on how the stream was sliced.Convex Potential Learning for Optimal Transport Between Medical Images
Computing optimal transport maps between medical images plays a fundamental role in morphological analysis.Effects of Deep Learning Architecture and Pretraining on Automated Vocal Fold Segmentation in Ex Vivo High-Speed Phonation Images
Two-dimensional (2D) intraglottal particle image velocimetry (PIV) of ex vivo phonation experiments quantifies vocal fold medial surface dynamics and the intraglottal flow field.What Constitutes Food Similarity? Visual Representations and Retrieval in Indian Cuisine
Food similarity underlies retrieval, recommendation, substitution, and other food computing tasks, yet food representations are typically evaluated by identity preservation.PairCLIP-SWA: Similarity-Guided Balancing and Stochastic Weight Averaging for Generalized Deepfake Image Detection with OpenCLIP
Deepfake detectors are almost always deployed as the single checkpoint that scored best on a validation split, yet the reliability of that choice is rarely measured.Intersectional Invariant Learning for Fair Deepfake Detection
Deepfake detection models achieve high overall accuracy but exhibit large performance disparities across demographic groups, causing some groups to experience substantially higher false-positive…FYC: FPR-Disparity Weight Perturbation and Youden Calibration for Fair Deepfake Detection
Deepfake detectors routinely achieve high aggregate accuracy while exhibiting substantial demographic disparities in their errors: false-positive rates differ by double digits across gender and skin…What Actually Matters? A Paired Evaluation of Inference Settings for $π_{0.5}$ on BEHAVIOR-1K
Vision-Language-Action (VLA) models offer a promising paradigm for general-purpose household robotics.Venus-DefakerOne2: A Vision-Forensics Foundation Model with Broader Coverage
Real-world forgery is inherently heterogeneous: it manifests not only as digital manipulation but also as physical spoofing, and is carried not only by images but also by videos.You Don't Need Aligned Representations: Knowledge Distillation via Random Prototype Spaces
A widely held assumption in knowledge distillation is that teacher and student representations must occupy a compatible or explicitly aligned feature space.Meta-Initialization of Implicit Neural Representations to Accelerate Deformable Medical Image Registration
Implicit neural representation (INR) methods for deformable medical image registration require the network parameters to be optimized for each new image pair, making adaptation speed a practical…Hierarchical Diffusion for Camera-controlled Autoregressive Video Generation
We address the task of long-video, camera-controlled generation from a single image.Frequency-Adaptive Gaussian Grids for Efficient Image Representation
Neural representation has emerged as a powerful tool to mitigate the demand for increasingly higher-resolution images.Where Can We Fool the Model's Mind? Response-Guided Semantic Probing and Adaptive Routing for Transferable Attacks on Black-Box MLLMs
Multimodal Large Language Models (MLLMs) ground language in visual evidence, yet their semantic reasoning can be exploited through transferable black-box adversarial attacks.Can Event Detectors Leave the Broadcast Camera? Evidence from Tennis
Ball bounces and racket hits are the events from which tennis statistics are derived, and on monocular video the two are easy to confuse.Classifying Urban Locations by Cyclist Facility Usage and Directional Alignment: A Validated Camera-Based Framework from Multi-Site Observations
Agencies invest in bicycle facilities but lack tools to assess whether cyclists use them as designed.