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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 193
View Matters: Keyframe-Guided Text-Driven 3D Gaussian Editing
Text-driven 3D Gaussian editing commonly does not distinguish the editing reliability of rendered views, although different viewpoints provide supervision of substantially different quality.PIE-PS: Photometric Stereo from Physical Irradiance Event Streams
Event cameras record asynchronous log-image-irradiance changes with microsecond latency and high dynamic range.MacJEPA: Missingness-Robust Audio-Visual Recognition from Untrimmed Egocentric Videos
Audio-visual models improve egocentric action recognition by exploiting complementary cues, yet typically assume that both streams remain available at inference.RACE-FPP: A Robust AI-assisted Characterisation Enhancement for Fringe Projection Profilometry
Fringe Projection Profilometry (FPP) requires precise system characterisation to achieve reliable three-dimensional (3D) reconstructions; however, characterisation accuracy strongly depends on…How Many Independent Samples Does a Satellite Image Contain? Generalization Bounds for Spatially Dependent Data
Machine learning classifiers for remote sensing imagery are typically evaluated as though every pixel were an independent sample.TSRN-RTVD: Real-Time Video Deblurring System
As video capture moves to handheld and edge devices, motion blur from camera shake has become a pervasive degradation that lowers perceptual quality and harms downstream vision tasks.Whose Face Is It Anyway? A Multi-Model Audit of Facial Affect Recognition on Children, and Why the Gap Is the Head, Not the Features
Facial affect models are trained almost entirely on adults, yet are increasingly applied to children in education, health, and developmental research.Event Detection in Table Tennis Videos using 2D Keypoints
This paper addresses the challenge of automatic, frame-accurate event detection in table tennis videos.Catastrophic Forgetting in Sequential Thermal Anti-UAV Detection: The Role of Scale-Conditioned Gradient Imbalance
Counter-UAV systems based on thermal infrared detection must stay accurate as operational datasets evolve, yet sequential fine-tuning causes catastrophic forgetting of prior tasks, a problem that…Transferable Spatial Temporal Coherence Adversarial Attack on Black-Box Vision Language Models for Autonomous Driving
The rapid integration of Vision Language Models (VLMs) into sensitive systems introduces critical safety vulnerabilities that remain unexplored in exist studies.Digital Twin-Driven Real2Sim2Real: Simulator-Conditioned Generation via Paired Driving-Scene Reconstruction
Camera-based 3D perception for autonomous driving relies heavily on large annotated datasets, and deploying such a system to a new target region typically requires data collection and annotation.DIPrune: Task-Aware Token Pruning with Dual Importance for Efficient Multimodal Language Models
Recent training-free pruning approaches for Multimodal Large Language Models (MLLMs) effectively cut computational overhead by exploiting visual redundancy or text-vision attention.PolarScale: A Physics-Grounded Benchmark for Radiometrically Consistent RGB-to-Stokes Estimation
Polarization imaging provides physical cues beyond intensity imaging but typically requires specialized hardware.Test-Time Adaptation of Quantized ViTs via Single-Pass Quantizer-Aligned Recalibration
Post-training quantization is a standard route to fitting vision transformers (ViTs) into edge compute and memory budgets, yet quantized models become especially brittle under distribution shift.A Stevens's Power Law Check-up of GPT-5.5's Implicit Reading of Visual Encoding
We adapt Stevens's power law to measure the implicit ability of AI models to read visualizations, which can reveal the built-in perceptual mechanisms of algorithmic models.UniCounting: Instance-Aware Proposal Consolidation for Image-Query-Free Multi-Category Counting
Visual counting is commonly formulated as counting a single specified target, with a model receiving an image-specific exemplar, text query, or target category and returning a single count.UP-MOPD: Update Projection in Multi-Teacher On-Policy Distillation
On-policy distillation from multiple teachers combines expertise from different domains in a single student, but conflicting gradients can hinder this integration.GeoPID: Decomposing and Steering Visual Information in Vision-Language Models
While recent vision-language models (VLMs) have shown outstanding performance across diverse applications, they tend to under-use visual information and over-rely on textual context.Decoy and disclosure radii of invariant shape descriptors
A recognizer that compares rotation-invariant descriptors sees a surface only up to the fiber of the descriptor.Image Bitstream Fine-grained Understanding for Privacy-Friendly AIoT
Image Bitstream Fine-grained Understanding (IBFU) aims to directly perform fine-grained classification and semantic description generation from encoded image byte sequences.