Computer Vision

When neural networks aren’t enough and you have to go back to old school methods. Continue reading on Medium »

Object detection is one of the most important tasks in computer vision. Unlike image classification, where the goal is only to identify… Continue reading on Med

If you have ever maintained a computer vision pipeline in a factory, warehouse, or construction site, you already know the drill. Continue reading on Medium »

Why most real-world computer vision systems rely on more than just AI models Continue reading on Towards AI »

Benchmarking HiDream-O1-Image skeleton mode across 8 patterns reveals 3 counterintuitive findings about openpose refs, resolution drops, and shift values.

YOLOv11, NVIDIA Jetson Nano ve Hasat Robotları — Bir Bilgisayarlı Görü Mühendisliği Hikâyesi Continue reading on Medium »

Procesamiento inteligente de imágenes y automatización orientada a monitoreo, detección de eventos y análisis predictivo. Continue reading on Medium »

Hey, Folks :) From my previous article, How Does a Computer Understand Text Like “Hi!”? You already know that a computer’s CPU only… Continue reading on Medium

Computer Vision projelerinde yalnızca el tespiti yapmak çoğu zaman yeterli değildir. Continue reading on Medium »

Building a Real-Time Camera Classifier Ever wonder how modern interactive displays in...

We all know LLMs are powerful. But they’re also probabilistic — and that’s the problem. The real job of an AI engineer isn’t just to call… Continue reading on M

arXiv:2605.20459v1 Announce Type: cross Abstract: In recent years, there has been a notable increase in the level of attention that is given to algorithms based

arXiv:2605.20551v1 Announce Type: cross Abstract: Visual Place Recognition (VPR) aims to match a query image to reference images of the same place in a large-sc

arXiv:2605.20901v1 Announce Type: cross Abstract: We propose VISTA, a V-JEPA Integrated StillFast Temporal Anticipator for the Ego4D Short-Term Object Interacti

arXiv:2605.20971v1 Announce Type: cross Abstract: The growing sophistication of GAN-based image manipulation presents significant challenges for digital forensi

arXiv:2605.21157v1 Announce Type: cross Abstract: In modern warfare, drones are becoming an essential part of intelligence gathering and carrying out precise at

arXiv:2510.17269v2 Announce Type: replace-cross Abstract: The advancement of vision-language models (VLMs) is hampered by a fragmented landscape of inconsistent

arXiv:2512.13402v2 Announce Type: replace-cross Abstract: Intraoperative navigation in spine surgery demands millimeter-level accuracy. Currently, this is achie

arXiv:2603.08235v2 Announce Type: replace-cross Abstract: Diabetic retinopathy (DR) and diabetic macular edema (DME) are leading causes of preventable blindness

The TLR model is a Fully Convolutional Network (FCN) + FPN + Header model, utilizing an “anchor-free” approach. Instead of guessing… Continue reading on Medium

Why 3D Gaussians fail at surfaces, and how flat disks fix it Continue reading on Medium »

Autonomous driving is one of the most exciting applications of Artificial Intelligence and Computer Vision. One of the key technologies… Continue reading on Med

Introduction Digital logic counters are fundamental in electronics and computing. They track events,...

arXiv:2605.19587v1 Announce Type: new Abstract: Indoor scene synthesis underpins embodied AI, robotic manipulation, and simulation-based policy evaluation, wher

arXiv:2605.19329v1 Announce Type: cross Abstract: Conventional vision-language models (VLMs) struggle to interpret scenes captured under adverse conditions (e.g

arXiv:2605.19355v1 Announce Type: cross Abstract: Retargeting motion across characters with varying body shapes while preserving interaction semantics, such as

arXiv:2605.19398v1 Announce Type: cross Abstract: Image-to-video models often generate videos that remain overly static, compared to text-to-video models. While

arXiv:2605.19435v1 Announce Type: cross Abstract: Visual Place Recognition (VPR) is critical for autonomous navigation, yet state-of-the-art methods lack well-c

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