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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 81
WorldCast: World-Consistent Character Video Generation with Large-Angle Camera Control
Precise camera control is essential for cinematic character video generation, yet existing methods struggle to follow large-angle trajectories with combined rotation, translation, and radius…Matching Particle-Arrival Rates for Low-Count Image Denoising
Low-count imaging arises when limited illumination or dose yields only a few detected particles in microscopy, such as photons or electrons, causing measurements to be dominated by signal-dependent…Learning Pathology-Sensitive Representations for Unsupervised Retinal OCT Anomaly Detection
Deep learning approaches for retinal optical coherence tomography (OCT) predominantly rely on predefined disease categories, limiting their ability to detect rare or previously unseen abnormalities.WebUniverse: Scaling Verified Training Data for Agentic Web Development
Training agents for front-end web development requires demonstrations of code editing, execution, browser inspection and revision, yet public trajectories and reusable task environments remain…Gaussian Episodic Memory for Long-Term Spatiotemporal Reasoning
Real-world environments undergo continual semi-static changes, requiring a memory representation that captures both the spatial and temporal evolution of a scene.World-in-Context: Interactive Video World Modeling with In-Context Conditioning
Interactive video world models require coordinated control over viewing perspectives, character actions, and camera motion.Support-guided OOD Removal with Diffusion
Many real-world signals are corrupted by localized, structured perturbations whose distribution is unknown: an intermittent background noise in a music recording, a watermark stamped on a…Of Chains and Gains: What Reinforcement Learning changes on Reasoning-based Image Quality Assessment
Reinforcement Learning with Verifiable Rewards (RLVR) has improved the performance of large Vision-Language Models (VLMs) on image quality assessment (IQA).Vision Token Pruning via Query-Vision Interaction Decomposition
Large vision-language models (VLMs), which process both visual inputs and text queries, incur high inference costs due to the large number of visual tokens, making visual token pruning a natural…The Locality Trade-off in Masked Patch Self-Distillation
Masked patch self-distillation is a key component of modern vision foundation models, including DINOv2 and DINOv3, yet its implications for local visual information remain unclear.Automated identification of ivory carvings using machine learning: A proof-of-concept approach to detecting the illegal wildlife trade
Despite a ban on the international trading of recently poached ivory, elephants are still killed for their tusks.Explaining Basketball Shot Classifications with Grad-CAM: An Investigation of Shortcut Reliance with Spatiotemporal Correlations
Basketball action recognition is used in high-stakes scenarios to inform such tasks as specialized coaching, yet the evidence used by its deep-learning models is poorly understood.Image Clustering with Vision-Language Model Embeddings
Pretrained vision-language models provide image representations whose suitability for clustering may vary with feature extraction, image domain, and partitioning algorithm.KINESYS: Test-Time Adaptation for Reference-Based Effect Editing in Images
Visual effects are often easier to demonstrate via reference than to describe in words.TinyFlow: Breaking the Warping Bottleneck for Edge Optical Flow
High-performance optical flow networks are difficult to deploy on resource-constrained edge accelerators because their iterative refinement warps features by the current flow, which relies on…Compression of Vision Foundation Models for Retinal OCT via Growing-Neural-Gas Codebooks and Graph-Guided Masked Image Modeling
Vision foundation models for retinal imaging are large and computationally demanding, limiting point-of-care deployment.Real Time Motion Detection in Video Inspired by Photonic Time Stretch
Motion perception is fundamental to computer vision and physical AI, and plays a central role in robotics, autonomous vehicles, human-computer interaction, and video compression.Detecting Temporal Concepts in Video Transformers via a No-False-Positives Test
Video models have the architecture to support encoding temporal aspects of the input, i.e. concepts that require more than one frame to define, like object movement.Tight Learned Event-Inertial Odometry (TLEIO): a Transformer-Based Architecture for End-to-End Motion from Event Streams
Event cameras provide microsecond temporal resolution, high dynamic range, and sparse asynchronous measurements, making them compelling for odometry under fast motion and challenging illumination.Visual Grounding First, Multimodal In-context Learning Follows
LLMs have shown strong in-context learning (ICL) capability, but extending it to Multimodal LLMs (MLLMs) remains challenging.