AI & Machine Learning · Computer Science & AI
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.
Get the few papers worth your time in Computer Vision every morning.
Follow Computer Vision and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 117
Directionally Factorized Illumination with Spherical Harmonic Rotation
Many real-world capture scenarios involve an active light source rigidly attached to the camera: camera flashes for dark-environment imaging, underwater vehicle lights, and endoscopic/laparoscopic…SwitchSplat: Learning Discrete Object States from Casually Captured Scenes
3D Gaussian Splatting has made high-fidelity 3D reconstruction fast and accessible, yet existing representations assume a static world.SL-Ground: Sentence-Level Grounding for Fine-Grained Open-Vocabulary Object Detection
Grounding-based open-vocabulary detectors provide a widely used framework for text-conditioned localization, with a phrase-grounding formulation that aligns object queries to individual text tokens…VTF900: A 900-Subject Visible-Thermal Face Recognition Dataset and Benchmark
Despite advancements in visible-thermal face recognition, where thermal probe (query) face images are matched against visible enrollment templates, existing benchmarks are currently limited by small…PCHMR: Empowering and Benchmarking Human Mesh Recovery in Privacy-Constrained Real-World Settings
Fine-tuning directly on user-side data is an effective way to improve the performance of widely adopted data-driven human mesh recovery (HMR) models.Arbitrary-Scale Anisotropic 3D MRI Super-Resolution with Gaussian Prototypes
Reducing MRI acquisition time improves patient comfort, reduces motion artefacts, and increases scanner throughput.SpriteStage: Long Horizon Animation Generation via Progressive Scene Programming and Replay
Video generation models synthesize visual sequences from text and image inputs.Goal Images Are Control Targets: Spatially-Grounded Goal-Image Synthesis for Robotic Manipulation
Goal-conditioned manipulation policies are steered by a goal image, a picture of the desired post-manipulation scene synthesized from the current observation and a language instruction.Multi-Speed Field Evaluation of a Semi-Autonomous Precision Sprayer for Weed Control in Vegetable Crops
Machine vision-guided precision spraying is promising for sustainable vegetable production by enabling site-specific weed targeting, reducing herbicide application while protecting crop yield and…Predicting Individual Differences in Lipreading From Eye-Tracking and Pupillometry During Silent Visual Speech
Lipreading ability varies widely, including among people who are hard of hearing.Uncertainty Gates the Gradient: Adaptive Updates for Generalized Few-Shot 3D Segmentation
In generalized few-shot 3D point cloud segmentation, support annotations are often compromised by sparsity and occlusion.Memory Internalization via Test-Time Training for Long-Video Understanding
Long-video understanding often requires answering many questions about a single video whose evidence is distributed across extended temporal contexts.CodecMotion-OAD: Efficient Online Action Detection with Compressed-Domain Motion
Online action detection (OAD) identifies ongoing actions in streaming videos.GTSM: Gaussian Splatting with Thermal State-Space Dynamics for Spatio-Temporal Thermal Field Reconstruction and Prediction
Temperature-field reconstruction and prediction are important for condition monitoring, process analysis, and state assessment in industrial and dynamic environments.Codec-Compatible Learned Compression for 3D Gaussian Splatting
Video-based 3D Gaussian Splatting (3DGS) compression methods provide a practical route by representing Gaussian attributes as 2D maps and coding them with standard video codecs.Controllable Multi-Object Insertion for Detection Data Augmentation
Controllable object insertion provides a targeted approach to augmenting object detection datasets that require category--count fidelity, annotation alignment, and source-content preservation beyond…CaMeWM: A Causal Medical World Model for Generative Tumor Evolution and Treatment Planning
Treatment planning is intrinsically counterfactual: clinicians must compare how a patient's tumor and survival would evolve under competing regimens, whereas a retrospective cohort records only the…SuperClip Pyramid for Video Temporal Grounding
With the rapid expansion of online video content, video temporal grounding has become essential for localizing moments based on user-specific queries, comprising two subtasks: moment retrieval (MR)…Rate as a Feature, Not a Nuisance: Curriculum FiLM Training for Event-Based Graph Neural Networks
An event camera emits events at a rate given by the scene motion, object texture, illumination, its own contrast thresholds, and other settings.Direct Conditional Parameterization for N-Dimensional Splatting
N-dimensional splatting extends 3D Gaussian Splatting with view direction and time to model view-dependent and dynamic effects.