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
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ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
GVC-Seg: Training-Free 3D Instance Segmentation via Geometric Visual Correspondence
arXiv:2606.08014v1 Announce Type: cross Abstract: Accurate 3D instance segmentation in point cloud data is critical for machine vision applications. Recent adva
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
SceneConductor: 3D Scene Generation from Single Image with Multi-Agent Orchestration
arXiv:2606.08402v1 Announce Type: cross Abstract: Generating complete 3D scenes from a single image requires inferring globally consistent geometry, object rela
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
CoVEBench: Can Video Editing Models Handle Complex Instructions?
arXiv:2606.08415v1 Announce Type: cross Abstract: While recent text-guided video editing models excel at elementary tasks (e.g., style transfer, object insertio
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
PolyBuild: An End-to-End Method for Polygonal Building Contour Extraction from High-Resolution Remote Sensing Images
arXiv:2606.08920v1 Announce Type: cross Abstract: Extracting building polygon contours from high-resolution remote sensing images is a fundamental task for vari
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video
arXiv:2606.09243v1 Announce Type: cross Abstract: Estimating full-hand grasp pressure from egocentric video is critical for immersive VR and robotic manipulatio
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Beyond Humans: Multispecies Animal Face Recognition Using Transfer Learning
arXiv:2606.09353v1 Announce Type: cross Abstract: Individual animal recognition can be useful in the search for lost or stolen pets, the tracking of individuals
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Real-time body pose non-verbal communication with a consistency-based reliability measure
arXiv:2606.09390v1 Announce Type: cross Abstract: Body movement communicates intent at distances and in conditions where neither the face, nor speech can be cap
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
ATN3D: Density-Aware LiDAR-Radar Early 3D Object Detection Under Extreme Sparsity
arXiv:2606.09634v1 Announce Type: cross Abstract: 3D object detection is the backbone of perception for automated vehicles (AV) and broader intelligent transpor
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
CLONE: A 3DGS-Based Closed-Loop Differentiable Optimization Framework for Single-Image Normal Estimation
arXiv:2508.05950v2 Announce Type: replace-cross Abstract: We propose CLONE, a 3DGS-based Closed-Loop differentiable Optimization framework for single-image Norm
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Vision-Based Early Fault Diagnosis and Self-Recovery for Strawberry Harvesting Robots
arXiv:2601.02085v3 Announce Type: replace-cross Abstract: Strawberry-harvesting robots faced challenges such as poor visual perception, gripper misalignment, em
From Pixels to Predictions: How Image Preprocessing Helps Machines See the World
Medium · Machine Learning 👁️ Computer Vision ⚡ AI Lesson 1mo ago
From Pixels to Predictions: How Image Preprocessing Helps Machines See the World
Before a Machine Can Recognize a Cat, a Car, or a Face, It Must First Learn to Understand Pixels Continue reading on Medium »
From Pixels to Predictions: How Image Preprocessing Helps Machines See the World
Medium · Data Science 👁️ Computer Vision ⚡ AI Lesson 1mo ago
From Pixels to Predictions: How Image Preprocessing Helps Machines See the World
Before a Machine Can Recognize a Cat, a Car, or a Face, It Must First Learn to Understand Pixels Continue reading on Medium »
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models
arXiv:2606.06534v1 Announce Type: cross Abstract: Longitudinal medical visual question answering (VQA) requires reasoning about anatomical differences between a
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Attention-Guided Autoencoder Fusion for Insulator Defect Detection Using UAV Transmission-Line Imaging
arXiv:2606.06536v1 Announce Type: cross Abstract: Automated defect detection in high-voltage transmission-line insulators remains challenging due to severe clas
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Direct 3D-Aware Object Insertion via Decomposed Visual Proxies
arXiv:2606.06601v1 Announce Type: cross Abstract: Object insertion aims to seamlessly composite a reference object into a specified region of a background image
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
EgoPressDiff: Multimodal Video Diffusion for Egocentric UV-Domain Hand-Pressure Estimation
arXiv:2606.06872v1 Announce Type: cross Abstract: Estimating hand-surface contact pressure from an egocentric view is crucial for AR/VR devices, robotic imitati
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
FreeAnimate: Training-Free Human Image Animation with Preview-Guided Denoising
arXiv:2606.06885v1 Announce Type: cross Abstract: Human Image Animation has seen significant advancements, primarily driven by diffusion models. However, existi
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Beyond Skeletons: Learning Animation Directly from Driving Videos with Same2X Training Strategy
arXiv:2606.06903v1 Announce Type: cross Abstract: Human image animation aims to generate a video from a static reference image, guided by pose information extra
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Never Seen Before: Benchmarking Genuine Zero-Shot Composed Image Retrieval with Consistent Video-Sourced Datasets
arXiv:2606.07032v1 Announce Type: cross Abstract: Zero-Shot Composed Image Retrieval (ZS-CIR) aims to retrieve a target image based on a query composed of a ref
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment
arXiv:2606.07117v1 Announce Type: cross Abstract: This paper presents Native3D, the first end-to-end 3D scene generation framework that completely bypasses 2D i
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
DualGate-Net: A Prior-Gated Dual-Encoder Framework for Histopathology Cell Detection
arXiv:2606.07222v1 Announce Type: cross Abstract: Cell detection in histopathology images strongly depends on surrounding tissue context, where visually similar
What Is Browser-Based Spatial Computing?
Dev.to · Brosil Bajracharya 👁️ Computer Vision ⚡ AI Lesson 1mo ago
What Is Browser-Based Spatial Computing?
Spatial computing used to mean a $3,500 headset. Not anymore. Here's how browser-based spatial computing lets anyone interact with digital space using just a we
How A Pro Colorist Uses Apple’s Studio Display XDR In His Workflow
Forbes Innovation 👁️ Computer Vision ⚡ AI Lesson 1mo ago
How A Pro Colorist Uses Apple’s Studio Display XDR In His Workflow
Apple’s new “pro-sumer” monitor features a 5K MiniLED display with colors that are accurate enough to please professional colorist Matthew Chan.
Dev.to AI 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Built a batch business card scanner for my CEO – finally one that handles 20 cards in a single photo [Workflow Included]
👋 Hey dev.to Community, My CEO mentioned he’s got a few conferences coming up in the next weeks and he’s actually looking forward to them. There’s just one pro
OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
OpenCV Blog 👁️ Computer Vision ⚡ AI Lesson 1mo ago
OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
Authored by: Abhishek Gola and Gursimar Singh OpenCV 5 is one of the most important releases in the history of OpenCV. For more than two decades, OpenCV has bee
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Rethinking Infrastructure Inspection as Image Difference Classification: A Traffic Sign Case Study
arXiv:2606.06375v1 Announce Type: new Abstract: Digital twins (DTs) allow the digitalization of road infrastructure inspection, though this is hindered by limit
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
HDST-GNN: Heterogeneous Dynamic Spatiotemporal Graph Neural Networks for Multi-Object Tracking in UAV Aerial Imagery
arXiv:2606.05587v1 Announce Type: cross Abstract: Multi-object tracking (MOT) from UAV imagery presents unique challenges: altitude varies across sequences, obj
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Next-Generation Parallel Decoder for LPDR: Architectural Optimization and Class-Balanced GAN-Augmentation
arXiv:2606.05785v1 Announce Type: cross Abstract: Real-Time License Plate Detection and Recognition (LPDR) forms the backbone of modern smart cities. Although t
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Deep Learning-based 3D Oral Cavity Reconstruction Using 2D Intraoral Images
arXiv:2606.05998v1 Announce Type: cross Abstract: Oral 3D modelling is one of the most essential stages in dentistry, and many different approaches, such as imp
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
ATT-CR: Adaptive Triangular Transformer for Cloud Removal
arXiv:2606.05999v1 Announce Type: cross Abstract: Cloud removal aims to accurately reconstruct the ground objects obscured by clouds in remote sensing images. E
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Adapting Diffusion Language Models for Lossless Pixel-Level Image Transmission
arXiv:2606.06273v1 Announce Type: cross Abstract: Lossless pixel-level image transmission is a fundamental regime beyond semantic communications, because exact
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding
arXiv:2512.05774v2 Announce Type: replace-cross Abstract: Long video understanding (LVU) is challenging because answering real-world queries often depends on sp
Deep Learning Essentials — (5) Adapting Pretrained Vision Models
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Deep Learning Essentials — (5) Adapting Pretrained Vision Models
Deep Learning Foundations, Models for Images and Sequences, and Generative AI Continue reading on Deep Learning Essentials »
Reddit r/learnprogramming 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Computer Engineering
I hope you are doing well. I would like to get your opinions and advice regarding my situation. I am currently a second-year Computer Engineering student. Since
OpenCV Blog 👁️ Computer Vision ⚡ AI Lesson 1mo ago
OpenCV and AMD Announce Collaboration to Accelerate Computer Vision and Vision AI Workloads on AMD Hardware
AMD is now an OpenCV 5 Launch Partner and will become an OpenCV Gold Sponsors as part of collaboration focused on OpenCV 5 CPU and GPU acceleration PALO ALTO, C
Masked Auto Encoders: When a Model Learns to See by Looking Away
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Masked Auto Encoders: When a Model Learns to See by Looking Away
Hide 75% of an image. Ask the model to imagine the rest. Somehow, that’s how it learns to see. Continue reading on Medium »
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization
arXiv:2606.04409v1 Announce Type: cross Abstract: Modern deep neural networks usually have large parameter scales and nonlinear hierarchical structures, and the
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Real-Time Automatic License Plate Recognition Using YOLOv8, SORT Tracking, and Temporal Data Interpolation
arXiv:2606.04684v1 Announce Type: cross Abstract: The real-time hardships of video processing seriously limit the usage of Automatic License Plate Recognition (
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
DiverAge: Reliable Pluralistic Face Aging with Cross-Age Identity Relation Guidance
arXiv:2606.04881v1 Announce Type: cross Abstract: Face aging plays an important role in long-term biometric analysis, cross-age identity verification, and foren
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face Recognition Systems
arXiv:2407.13922v3 Announce Type: replace-cross Abstract: Face recognition (FR) systems are widely deployed in critical applications, making their reliability a
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
SAM 3D: 3Dfy Anything in Images
arXiv:2511.16624v2 Announce Type: replace-cross Abstract: We present SAM 3D, a generative model for visually grounded 3D object reconstruction, predicting geome
Why 99% Accuracy Isn’t Good Enough for Pharma Inspection
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Why 99% Accuracy Isn’t Good Enough for Pharma Inspection
For the past year, I’ve been building Vision AI for pharmaceutical inspection. Continue reading on Medium »
Menggabungkan Computer Vision dan Automasi Tingkat Rendah: Studi Kasus Pengendalian Autoclave…
Medium · Python 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Menggabungkan Computer Vision dan Automasi Tingkat Rendah: Studi Kasus Pengendalian Autoclave…
Di artikel kali ini, saya mau sharing sebuah side project gabut tapi berfaedah yang baru-baru ini saya selesaikan. Sebagai mahasiswa yang… Continue reading on M
Dev.to AI 👁️ Computer Vision ⚡ AI Lesson 1mo ago
AI Video Analytics for PPE Violation Detection and Workplace Safety Management
<img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2F
Medium · Python 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Convolutional Neural Networks — An Interactive Visual Guide
I built an interactive CNN explainer that lets you visually see how a Convolutional Neural Network processes images — layer by layer. Continue reading on Medium
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Convolutional Neural Networks — An Interactive Visual Guide
I built an interactive CNN explainer that lets you visually see how a Convolutional Neural Network processes images — layer by layer. Continue reading on Medium
AlexNet: The CNN Architecture That Sparked the Deep Learning Revolution
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 1mo ago
AlexNet: The CNN Architecture That Sparked the Deep Learning Revolution
Discover how AlexNet revolutionized image recognition, introduced modern CNN techniques, and sparked the deep learning era. Continue reading on Medium »
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes
arXiv:2606.02724v1 Announce Type: cross Abstract: Audio-visual speaker tracking aims to localize and track active speakers by leveraging auditory and visual cue