Computer Vision

arXiv:2605.19578v1 Announce Type: cross Abstract: RGB camera-based surveillance systems enable human action recognition for public safety and healthcare, yet ra

arXiv:2601.18993v2 Announce Type: replace-cross Abstract: Camera redirection aims to replay a dynamic scene from a single monocular video under a user-specified

arXiv:2602.23622v2 Announce Type: replace-cross Abstract: Significant progress has been made in the field of Instruction-based Image Editing Models (IIEMs). How

What is Object Detection? Continue reading on Medium »

Discover how to deploy Vision RAG with Qdrant and CLIP for real-time factory fire detection. Continue reading on Towards AI »

For businesses in the stone, marble, and interior design industries, managing digital catalog assets...

How I Built a Store Surveillance System That Remembers Every Face It's Ever Flagged Most retail...

How I Built a Store Surveillance System That Remembers Every Face It's Ever Flagged Most retail...

Edge inference, S3 ingestion, and the architecture trade-offs nobody warns you about when you move computer vision to the cloud.

arXiv:2605.16259v1 Announce Type: cross Abstract: While real-time image generation using diffusion models has advanced rapidly on NVIDIA GPUs, systematic optimi

arXiv:2605.16381v1 Announce Type: cross Abstract: Proactive streaming video understanding requires models to continuously process video streams and decide when

arXiv:2605.16384v1 Announce Type: cross Abstract: Accurate and effective discrete image tokenization is crucial for long image sequence processing. However, cur

arXiv:2605.16672v1 Announce Type: cross Abstract: Camera traps have become a common tool for wildlife monitoring efforts in ecological research and biodiversity

arXiv:2605.16774v1 Announce Type: cross Abstract: Surface-level marine debris remains a practical bottleneck for autonomous clean-up, where small, reflective ta

arXiv:2605.16795v1 Announce Type: cross Abstract: Video generative models have made remarkable progress, yet they often yield visual artifacts that violate grou

arXiv:2605.16859v1 Announce Type: cross Abstract: 3D change detection from multi-view images is essential for urban monitoring, disaster assessment, and autonom

arXiv:2605.16864v1 Announce Type: cross Abstract: Although large-scale visual foundation models (VFMs) achieve remarkable performance in semantic understanding,

arXiv:2605.17131v1 Announce Type: cross Abstract: Point cloud stands as the most widely adopted format for representing 3D shapes and scenes due to its simplici

arXiv:2605.17236v1 Announce Type: cross Abstract: Manual Pap smear analysis for cervical cancer screening is limited by inter-observer variability, time constra

arXiv:2605.17309v1 Announce Type: cross Abstract: We present StyleText, a large-scale dataset and benchmark for localized scene-text inpainting with style prese

arXiv:2605.17327v1 Announce Type: cross Abstract: Fast and reliable initialization is critical for monocular visual-inertial navigation systems (VINS), as it es

arXiv:2605.17823v1 Announce Type: cross Abstract: When humans view scenes without a specific task (free-viewing), they initially direct their eye movements towa

arXiv:2605.17837v1 Announce Type: cross Abstract: Video diffusion models have recently enabled high-quality video generation with ViT-based architectures, but r

arXiv:2605.18132v1 Announce Type: cross Abstract: Generative 3D models are deployed in gaming, robotics, and immersive creation, making source attribution criti

arXiv:2605.18184v1 Announce Type: cross Abstract: Commonly available prior information, such as BIM models, floor plans, and remote sensing images, can provide

arXiv:2605.18349v1 Announce Type: cross Abstract: Occupancy estimation and crowd counting are critical tasks in designing smart and efficient public transport v

arXiv:2605.18385v1 Announce Type: cross Abstract: We present UbiSLAM, an innovative solution for real-time mapping and localization in dynamic indoor environmen

arXiv:2503.02170v3 Announce Type: replace-cross Abstract: Domain shift remains a persistent challenge in deep-learning-based computer vision, often requiring ex

Improve Python face recognition speed with frame skipping, IoU face tracking, and smooth real-time identity continuity. Continue reading on Medium »

Há um bom tempo venho tentando entrar, bem aos poucos, no mundo da programação. Continue reading on Tatiane Marina »

In the late 1940s—when computer engineers were grappling with unreliable hardware and noisy transmission environments—a team of engineers inside a modest lab at

Why Your Image Upload Pipeline Should Check for Physically Impossible Lighting If you're building user-generated content platforms, marketplace verification sys

1. Overview Bresenham algorithm is the fastest algorithm for drawing straight lines on a...

Learn how face detection works under the hood, line by line, with real code you can run today. Continue reading on Medium »

Learn how face detection works under the hood, line by line, with real code you can run today. Continue reading on Medium »

Leveraging computer vision and neural networks to drive victory for team Troyan Robotics under intense environmental pressure Continue reading on Medium »

L'OCR (Optical Character Recognition) per testo stampato moderno è un problema risolto da decenni....

Computer Vision projelerinde kameradan görüntü almak yalnızca ilk adımdır. Gerçek sistemlerde asıl önemli nokta, alınan frame’lerin… Continue reading on Medium

A brutally honest guide for every Computer Application graduate who blinked and found themselves in the middle of the greatest… Continue reading on Readers Club

From ARPANET to the World Wide Web the Internet was built by a network of pioneers not one inventor Continue reading on IT Chronicles »

Build a Real-Time Computer Vision Project That Actually Feels Futuristic Continue reading on Medium »

In the previous article, we loaded an image, converted it into grayscale, and introduced the core data structures used by the recognition… Continue reading on M

What is Byte Order? Before understanding byte order, we need to understand one thing: A byte = 8...

High Speed and Performance C language is very fast because it is a compiled language. It converts code directly into machine language, so programs run quickly a

arXiv:2605.14854v1 Announce Type: cross Abstract: Human Mesh Recovery (HMR) is fundamentally ambiguous: under occlusion or weak depth cues, multiple 3D bodies c

arXiv:2605.14984v1 Announce Type: cross Abstract: Generating a street-level 3D scene from a single satellite image is a crucial yet challenging task. Current me

arXiv:2605.15185v1 Announce Type: cross Abstract: Generative video models are increasingly studied as implicit world models, yet evaluating whether they produce

In the previous article, we loaded an image, converted it into grayscale, and introduced the core data structures used by the recognition engine. In this part,