Foundations

Computer Vision

Object detection, segmentation, YOLO, CLIP, and vision-language models

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CV Basics
beginner
Classify images with a pre-trained CNN
Modern CV Models
intermediate
Run YOLO for real-time object detection
Generative CV
advanced
Build a Stable Diffusion inference pipeline
All Reads (1,335) Articles (421)Blog Posts (276)Tutorials (91)Research Papers (529)News (18)
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
AsymK-Talker: Real-Time and Long-Horizon Talking Head Generation via Asymmetric Kernel Distillation
arXiv:2605.02948v1 Announce Type: cross Abstract: Recent advances in diffusion models have markedly enhanced the visual fidelity of audio-driven talking head ge
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
FreeTimeGS++: Secrets of Dynamic Gaussian Splatting and Their Principles
arXiv:2605.03337v1 Announce Type: cross Abstract: The recent surge in 4D Gaussian Splatting (4DGS) has achieved impressive dynamic scene reconstruction. While t
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
BFORE: Butterfly-Firefly Optimized Retinex Enhancement for Low-Light Image Quality Improvement
arXiv:2605.03509v1 Announce Type: cross Abstract: Low-light image enhancement is a fundamental challenge in computer vision and multimedia applications, as imag
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning
arXiv:2605.03968v1 Announce Type: cross Abstract: Accurate school detection is essential for supporting education initiatives, including infrastructure planning
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling
arXiv:2507.07982v2 Announce Type: replace-cross Abstract: Videos inherently represent 2D projections of a dynamic 3D world. However, our analysis suggests that
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Physically Guided Visual Mass Estimation from a Single RGB Image
arXiv:2601.20303v2 Announce Type: replace-cross Abstract: Estimating object mass from visual input is challenging because mass depends jointly on geometric volu
Dev.to AI 👁️ Computer Vision ⚡ AI Lesson 2mo ago
Light Fields — Deep Dive + Problem: Set Matrix Zeroes
A daily deep dive into cv topics, coding problems, and platform features from PixelBank . Topic Deep Dive: Light Fields From the Image-Based Rendering chapter I
IMPLEMENTING FASTER RCNN FROM SCRATCH IN PYTORCH FOR OBJECT DETECTION — PART ONE
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 2mo ago
IMPLEMENTING FASTER RCNN FROM SCRATCH IN PYTORCH FOR OBJECT DETECTION — PART ONE
Learning computer vision has been an exciting journey over the past few weeks. From data preprocessing to model evaluation, every new… Continue reading on Mediu
Apps That See: Bringing Vision AI to Your Projects
Dev.to · Frank Boucher ☁ 👁️ Computer Vision ⚡ AI Lesson 2mo ago
Apps That See: Bringing Vision AI to Your Projects
I was wearing a t-shirt with a partial Reka logo at the edge of the frame. I never said the word...
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
AIDA-ReID: Adaptive Intermediate Domain Adaptation for Generalizable and Source-Free Person Re-Identification
arXiv:2605.00111v1 Announce Type: cross Abstract: Person re-identification (Re-ID) aims to match images of the same individual across non-overlapping camera vie
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
MAEPose: Self-Supervised Spatiotemporal Learning for Human Pose Estimation on mmWave Video
arXiv:2605.00242v1 Announce Type: cross Abstract: Millimetre-wave (mmWave) radar offers a more privacy-preserving alternative to RGB-based human pose estimation
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Remote SAMsing: From Segment Anything to Segment Everything
arXiv:2605.00256v1 Announce Type: cross Abstract: SAM2 produces high-quality zero-shot segmentation on natural images, but applying it to large remote sensing s
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
REALM: An RGB and Event Aligned Latent Manifold for Cross-Modal Perception
arXiv:2605.00271v2 Announce Type: cross Abstract: Event cameras provide several unique advantages over standard frame-based sensors, including high temporal res
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration
arXiv:2605.00310v1 Announce Type: cross Abstract: Super-resolution (SR) techniques have made major advances in reconstructing high-resolution images from low-re
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
InpaintSLat: Inpainting Structured 3D Latents via Initial Noise Optimization
arXiv:2605.00664v1 Announce Type: cross Abstract: We present a training-free approach for controllable 3D inpainting based on initial noise optimization. In the
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
arXiv:2512.20260v5 Announce Type: replace-cross Abstract: Weakly-Supervised Camouflaged Object Detection (WSCOD) aims to locate and segment objects that are vis
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Image
arXiv:2602.04349v2 Announce Type: replace-cross Abstract: 3D editing has emerged as a critical research area to provide users with flexible control over 3D asse
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
SRGAN-CKAN: Expressive Super-Resolution with Nonlinear Functional Operators under Minimal Resources
arXiv:2605.01459v1 Announce Type: cross Abstract: Single-Image Super-Resolution (SISR) aims to reconstruct a High-Resolution (HR) image from a Low-Resolution (L
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
LIE: LiDAR-only HD Map Construction with Intensity Enhancement via Online Knowledge Distillation
arXiv:2605.01478v1 Announce Type: cross Abstract: Online High-Definition (HD) map construction is a key component of autonomous driving. Recent methods rely on
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Research on Vision-Language Question Answering Models for Industrial Robots
arXiv:2605.01483v1 Announce Type: cross Abstract: A hierarchical cross-modal fusion model is proposed for vision-language question answering (VLQA) in industria
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
CGFformer: Cluster-Guidance Frequency Transformer for Pansharpening
arXiv:2605.01490v1 Announce Type: cross Abstract: Pansharpening aims to generate high-resolution multispectral (HRMS) images by fusing low-resolution multispect
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planning
arXiv:2605.01668v1 Announce Type: cross Abstract: Dense temporal annotation of procedural activity videos is vital for action understanding and embodied intelli
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
BadmintonGRF: A Multimodal Dataset and Benchmark for Markerless Ground Reaction Force Estimation in Badminton
arXiv:2605.01876v1 Announce Type: cross Abstract: Multimodal resources for non-periodic court sports with laboratory-grade sensing remain scarce: few publicly p
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
GETA-3DGS: Automatic Joint Structured Pruning and Quantization for 3D Gaussian Splatting
arXiv:2605.02086v1 Announce Type: cross Abstract: 3D Gaussian splatting (3DGS) is a state-of-the-art representation for real-time photorealistic novel-view synt
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
FLoRA: Fusion-Latent for Optical Reconstruction and Flood Area Segmentation via Cross-Modal Multi-Task Distillation Network
arXiv:2605.02137v1 Announce Type: cross Abstract: Accurate flood water mapping is critical for disaster management, yet current methods struggle to fully exploi
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Cross-Polarization Fusion of VV AND VH SAR Observations for Improved Flood Mapping
arXiv:2605.02153v1 Announce Type: cross Abstract: Synthetic Aperture Radar (SAR) imagery is widely used for flood monitoring due to its all-weather and day-nigh
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
RAFNet: Region-Aware Fusion Network for Pansharpening
arXiv:2605.02184v1 Announce Type: cross Abstract: Pansharpening aims to generate high-resolution multispectral (HRMS) images by fusing low-resolution multispect
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Orchestrating Spatial Semantics via a Zone-Graph Paradigm for Intricate Indoor Scene Generation
arXiv:2605.02537v1 Announce Type: cross Abstract: Autonomous 3D indoor scene synthesis breaks down in non-convex rooms with tightly coupled spatial constraints.
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
ViewSAM: Learning View-aware Cross-modal Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking
arXiv:2605.02638v1 Announce Type: cross Abstract: Cross-view Referring Multi-Object Tracking (CRMOT) aims to track multiple objects specified by natural languag
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
arXiv:2303.10971v2 Announce Type: replace-cross Abstract: The matching of 3D shapes has been extensively studied for shapes represented as surface meshes, as we
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy Versus Performance
arXiv:2410.18717v2 Announce Type: replace-cross Abstract: Recent advancements in artificial intelligence hold ample potential for monitoring applications using
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
StereoMamba: Real-time and Robust Intraoperative Stereo Disparity Estimation via Long-range Spatial Dependencies
arXiv:2504.17401v2 Announce Type: replace-cross Abstract: Stereo disparity estimation is crucial for obtaining depth information in robot-assisted minimally inv
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Page image classification for content-specific data processing
arXiv:2507.21114v3 Announce Type: replace-cross Abstract: Digitization projects in humanities often generate vast quantities of page images from historical docu
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Pistachio: Towards Synthetic, Balanced, and Long-Form Video Anomaly Benchmarks
arXiv:2511.19474v5 Announce Type: replace-cross Abstract: Automatically detecting abnormal events in videos is crucial for modern autonomous systems, yet existi
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
MV-S2V: Multi-View Subject-Consistent Video Generation
arXiv:2601.17756v3 Announce Type: replace-cross Abstract: Existing Subject-to-Video Generation (S2V) methods have achieved high-fidelity and subject-consistent
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
arXiv:2601.23286v2 Announce Type: replace-cross Abstract: While recent video diffusion models (VDMs) produce visually impressive results, they fundamentally str
How I Trained a Custom YOLO Model to Spot African Wildlife
Medium · Python 👁️ Computer Vision ⚡ AI Lesson 2mo ago
How I Trained a Custom YOLO Model to Spot African Wildlife
Computer vision holds incredible potential when it comes to observing animals in their natural environments. This article provides a… Continue reading on Object
YOLOv8 + CoreML on iOS: Shipping Offline Computer Vision That Actually Works in the Field
Dev.to · Todd Sullivan 👁️ Computer Vision ⚡ AI Lesson 2mo ago
YOLOv8 + CoreML on iOS: Shipping Offline Computer Vision That Actually Works in the Field
YOLOv8 nano + CoreML + Apple Neural Engine — building an offline-first livestock counter and what I learned about confidence thresholds, coordinate flips, and e
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
People-Centred Medical Image Analysis
arXiv:2604.26991v1 Announce Type: cross Abstract: Recent advances in data-centric medical AI have produced highly accurate diagnostic systems, but the emphasis
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Reconstruction by Generation: 3D Multi-Object Scene Reconstruction from Sparse Observations
arXiv:2604.27106v1 Announce Type: cross Abstract: Accurately reconstructing complex full multi-object scenes from sparse observations remains a core challenge i
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection
arXiv:2604.27617v1 Announce Type: cross Abstract: With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monitoring, dee
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Training-Free Tunnel Defect Inspection and Engineering Interpretation via Visual Recalibration and Entity Reconstruction
arXiv:2604.27928v1 Announce Type: cross Abstract: Tunnel inspection requires outputs that can support defect localization, measurement, severity grading, and en
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions
arXiv:2604.27975v1 Announce Type: cross Abstract: Traditional Shot Boundary Detection (SBD) inherently struggles with complex transitions by formulating the tas
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
PhyCo: Learning Controllable Physical Priors for Generative Motion
arXiv:2604.28169v1 Announce Type: cross Abstract: Modern video diffusion models excel at appearance synthesis but still struggle with physical consistency: obje
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
AutoVDC: Automated Vision Data Cleaning Using Vision-Language Models
arXiv:2507.12414v2 Announce Type: replace-cross Abstract: Training of autonomous driving systems requires extensive datasets with precise annotations to attain
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Training-Free Reward-Guided Image Editing via Trajectory Optimal Control
arXiv:2509.25845v3 Announce Type: replace-cross Abstract: Recent advancements in diffusion and flow-matching models have demonstrated remarkable capabilities in
Baseball Swing Kinematic Synchronizer Power by Computer Vision
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 2mo ago
Baseball Swing Kinematic Synchronizer Power by Computer Vision
Growing up playing playing baseball, I did what any amateur hitter would do: record my swing, analyze my mechanics, and attempt to… Continue reading on Medium »
How to Computes CLAHE Parameters Dynamically for Every Image.
Dev.to · muhammed shahid 👁️ Computer Vision ⚡ AI Lesson 2mo ago
How to Computes CLAHE Parameters Dynamically for Every Image.
No sliders. No presets. Just math that listens to your image. If you've ever used CLAHE (Contrast...