Computer Vision

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 Foundations, Models for Images and Sequences, and Generative AI Continue reading on Deep Learning Essentials »

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

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

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:2606.04409v1 Announce Type: cross Abstract: Modern deep neural networks usually have large parameter scales and nonlinear hierarchical structures, and the

arXiv:2606.04684v1 Announce Type: cross Abstract: The real-time hardships of video processing seriously limit the usage of Automatic License Plate Recognition (

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:2407.13922v3 Announce Type: replace-cross Abstract: Face recognition (FR) systems are widely deployed in critical applications, making their reliability a

arXiv:2511.16624v2 Announce Type: replace-cross Abstract: We present SAM 3D, a generative model for visually grounded 3D object reconstruction, predicting geome

For the past year, I’ve been building Vision AI for pharmaceutical inspection. Continue reading on Medium »

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

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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

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

Discover how AlexNet revolutionized image recognition, introduced modern CNN techniques, and sparked the deep learning era. Continue reading on Medium »

arXiv:2606.02724v1 Announce Type: cross Abstract: Audio-visual speaker tracking aims to localize and track active speakers by leveraging auditory and visual cue

arXiv:2606.02962v1 Announce Type: cross Abstract: Egocentric Natural Language Query (NLQ) grounding asks a model to localize, in a long first-person video, the

arXiv:2606.03376v1 Announce Type: cross Abstract: Hallucination has recently garnered significant research attention in Large Vision-Language Models (LVLMs). Di

arXiv:2512.23234v3 Announce Type: replace-cross Abstract: Infrared gas leak detection is important for industrial safety and environmental monitoring, but autom

arXiv:2603.07664v3 Announce Type: replace-cross Abstract: The reflective appearance, especially strong and typically near-field specular reflections, poses a fu

Food image understanding is usually treated as a classification problem. Given an image, the model predicts one label such as pizza… Continue reading on Medium

Food image understanding is usually treated as a classification problem. Given an image, the model predicts one label such as pizza… Continue reading on Medium

Food image understanding is usually treated as a classification problem. Given an image, the model predicts one label such as pizza… Continue reading on Medium

A practical computer vision project that turns angled phone photos into clean, readable scans using OpenCV, NumPy, and a small… Continue reading on Medium »

Hi there, I’m back with another blog! Ever wondered how a camera can tell which direction a car is moving just by looking at pixel… Continue reading on Artifici

<img src="https://external-preview.redd.it/aXV5ZHBtaDB1dzRoMcBFGp5nzmHObmML8et0a838WAwPEQ7EIi-A7q9hyJ2P.png?width=640&crop=smart&auto=webp&s=d9e87fd

A practical object detection project comparing epochs, model size, image size, and transfer learning on a small helmet dataset. Continue reading on Medium »

Building the Foundation — Tokenization, 3D Understanding, and the Infrastructure of Physical AI Continue reading on Medium »

Building the Foundation — Tokenization, 3D Understanding, and the Infrastructure of Physical AI Continue reading on Medium »

Seeing the Future — Video Generation, World Models, and Physics-Aware Motion Continue reading on Medium »

The Road Ahead — Driving World Models Learn to Simulate, Edit, and Plan Continue reading on Medium »

Teaching Robots to Think, Plan, and Recover — Embodied Intelligence Meets World Models Continue reading on Medium »

Can AI Understand Physics? — Benchmarks That Put World Models to the Test Continue reading on Medium »

Crowd counting is a very sophisticated problem in computer vision. Standard object detectors easily fail when people stand too close… Continue reading on Medium

<img src="https://external-preview.redd.it/NXd1NDkzdW01dzRoMcBFGp5nzmHObmML8et0a838WAwPEQ7EIi-A7q9hyJ2P.png?width=640&crop=smart&auto=webp&s=5a30780

I’m currently studying Computer Science and Information Technology while working full-time and taking care of my family. Some days I feel very motivated and exc

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NVIDIA’s 3B-parameter model with Parallel Box Decoding for applications in agents, robotics, and document AI. Continue reading on Coding Nexus »

arXiv:2606.00077v1 Announce Type: cross Abstract: Recently, Belief-Attention \cite{Guoqiang25BeliefAttention} has been proposed by first performing an orthogona

arXiv:2606.00082v1 Announce Type: cross Abstract: Explainability of deep learning algorithms is critical for computer-vision applications with high-stake decisi

arXiv:2606.00299v1 Announce Type: cross Abstract: While Video Diffusion Models (VDMs) excel at synthesizing high-fidelity videos, enabling precise camera and sc

arXiv:2606.00447v1 Announce Type: cross Abstract: Open-vocabulary 3D scene segmentation usually assumes RGB-D video, calibrated multi-view imagery, or a reconst

arXiv:2606.00844v1 Announce Type: cross Abstract: Bounding-box regression is a fundamental component of object detection, playing a critical role in precise obj

arXiv:2606.00852v1 Announce Type: cross Abstract: Printed circuit board (PCB) defect detection is challenging because many defects are small and difficult to di

arXiv:2606.00871v1 Announce Type: cross Abstract: Vision-language models (VLMs) are increasingly used to generate structured descriptions of street-level imager

arXiv:2606.00931v1 Announce Type: cross Abstract: Instruction-guided image editing is becoming a general interface for visual work, yet existing benchmarks stil

arXiv:2606.01023v1 Announce Type: cross Abstract: Visual inspection remains the dominant quality-control practice in woven and tufted carpet production, yet it