Computer Vision

arXiv:2605.26038v1 Announce Type: cross Abstract: Lightweight vision-language models perform competitively on standard benchmarks yet fail systematically in den

arXiv:2209.11572v3 Announce Type: replace-cross Abstract: As an increasingly popular task in multimedia information retrieval, video moment retrieval (VMR) aims

arXiv:2303.07863v3 Announce Type: replace-cross Abstract: Given an untrimmed video, temporal sentence grounding (TSG) aims to locate a target moment semanticall

arXiv:2509.21592v2 Announce Type: replace-cross Abstract: We consider the problem of forecasting motion from a single image, i.e., predicting how objects in the

Bir trafik kamerası size bir aracın kaç km/h hızla geçtiğini söyleyebilir mi? Yazılım katmanı olmadan hayır. Bu yazı, bu yazılım katmanını… Continue reading on

This article covers more advanced use of pointers, including double pointers and function pointers. Also include when and how to use them Continue reading on Me

Most computer vision projects work well on powerful GPUs and cloud servers, but deploying them on small low-power devices is a completely… Continue reading on M

The world of sports is rapidly transforming through the power of artificial intelligence and computer vision. From player tracking and… Continue reading on Medi

Most camera systems deployed in the field today were not designed with deployment in mind. They were...

arXiv:2605.22904v1 Announce Type: cross Abstract: Understanding and monitoring human behavior in metro stations play an important role in supporting suicide pre

arXiv:2605.23045v1 Announce Type: cross Abstract: Video representation learning has seen tremendous progress in recent years. This has been driven by many facto

arXiv:2605.23719v1 Announce Type: cross Abstract: Vision Transformers have achieved remarkable success in computer vision, but their common use of learnable one

arXiv:2605.23892v1 Announce Type: cross Abstract: Visual geometry transformers have become powerful architectures for multi-view 3D reconstruction, enabling joi

arXiv:2508.18958v2 Announce Type: replace-cross Abstract: Obtaining pixel-level annotations over large spatial extents remains a major bottleneck for deploying

arXiv:2603.17879v2 Announce Type: replace-cross Abstract: This work presents a multi-label temporal event detection framework for video capsule endoscopy (VCE)

A friend of mine spent two months trying to add a “smart preview” feature to a video product, the kind of thing you see on every modern… Continue reading on Med

A friend of mine spent two months trying to add a “smart preview” feature to a video product, the kind of thing you see on every modern… Continue reading on Med

Computer Vision projelerinde yalnızca hand tracking yapmak çoğu zaman yeterli değildir. Gerçek sistemlerde önemli olan şey, elde edilen… Continue reading on Med

In a previous article, we benchmarked three open-source Vision-Language Models on zero-shot object...

LiTo is a Surface Light Field Tokenization model that generates 3D geometry and viewpoints from a 2D image Continue reading on Mac O’Clock »

Day 38 of TechFromZero. CLIP, the model behind half of modern computer vision, runs in your browser today. No server, no API key, no upload. Type a phrase, find

TL;DR cv3 is a Pythonic wrapper for OpenCV that simplifies computer vision tasks by providing more intuitive interfaces and eliminating… Continue reading on Med

TL;DR cv3 is a Pythonic wrapper for OpenCV that simplifies computer vision tasks by providing more intuitive interfaces and eliminating… Continue reading on Med

TL;DR cv3 is a Pythonic wrapper for OpenCV that simplifies computer vision tasks by providing more intuitive interfaces and eliminating… Continue reading on Med

<img src="https://preview.redd.it/qnfoh3sqjx2h1.png?width=140&height=94&auto=webp&s=e72cb3f3e061a1362a9bd5111d9e919341d48acb" alt="Per-pixel boundin

Parsing the Unparsable: Building a Layout-Aware Computer Vision Pipeline for 50,000+ Stone...

Integrating a dedicated card recognition api into your workflow empowers software teams to inject production-ready computer vision into… Continue reading on Obj

A modular, open-source framework for real-time firearm detection and alerting using YOLOv8 and cloud-native infrastructure. Continue reading on Medium »

A modular, open-source framework for real-time firearm detection and alerting using YOLOv8 and cloud-native infrastructure. Continue reading on Medium »

A lightweight Python library that makes Sentinel-2 imagery easier to search and download. Continue reading on GeoAI »

arXiv:2605.22090v1 Announce Type: new Abstract: The detection of non-cooperative unmanned aerial vehicles (UAVs) presents significant challenges for Integrated

arXiv:2605.22066v1 Announce Type: cross Abstract: Reconstructing 4D (3D+t) cardiac geometry from sparse 2D echocardiography is highly desirable yet fundamentall

arXiv:2605.22420v1 Announce Type: cross Abstract: Urban scene reconstruction from real-world observations has emerged as a powerful tool for self-driving develo

arXiv:2605.22455v1 Announce Type: cross Abstract: Real-world deployment of AI vision models is both fueled and limited by the data available for training and te

arXiv:2605.22581v1 Announce Type: cross Abstract: Many public buildings provide floorplans with a "you are here" indicator to help visitors orient themselves. F

arXiv:2605.22678v1 Announce Type: cross Abstract: While most frames in long-form video are redundant, the critical information resides in temporal surprises: mo

Rendering LiDAR Scans in the Browser Without Uploading Anything Most point-cloud workflows...

If you have ever maintained a computer vision pipeline in a factory, warehouse, or construction site,...

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...