Computer Vision

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

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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

arXiv:2606.01213v1 Announce Type: cross Abstract: Despite tremendous recent progress, current text-guided image editing methods still struggle with many aspects

arXiv:2606.01689v1 Announce Type: cross Abstract: The detection and segmentation of infrared small targets have important application significance in the fields

arXiv:2606.01694v1 Announce Type: cross Abstract: Thermal pedestrian MOT remains challenging because weak appearance cues and frequent detection interruptions c

arXiv:2606.01896v1 Announce Type: cross Abstract: Generated (or synthetic) image data is increasingly used to augment or replace real training datasets when tar

arXiv:2606.02022v1 Announce Type: cross Abstract: Multi-view object association is an important computer vision problem that underlies many multi-camera percept

arXiv:2606.02068v1 Announce Type: cross Abstract: Recently, novel view synthesis has witnessed remarkable progress, with mainstream methods such as Neural Radia

arXiv:2606.02120v1 Announce Type: cross Abstract: In this report, we address the problem of determining whether a user performs an action incorrectly from egoce

arXiv:2606.02242v1 Announce Type: cross Abstract: The joint optimization of image-based (I2I) and text-based (T2I) person re-identification (ReID) is hindered b

arXiv:2606.02301v1 Announce Type: cross Abstract: Chronic pain diminishes quality of life by decreasing functional ability, yet objectively measuring this funct

arXiv:2411.17790v3 Announce Type: replace-cross Abstract: Accurate 3D mapping in endoscopy enables quantitative, holistic lesion characterization within the gas

arXiv:2503.15639v2 Announce Type: replace-cross Abstract: Modern scene text recognition systems often depend on large end-to-end architectures that require exte

arXiv:2505.08438v4 Announce Type: replace-cross Abstract: Event cameras are rapidly emerging as powerful vision sensors for 3D reconstruction, uniquely capable

arXiv:2601.00664v2 Announce Type: replace-cross Abstract: Talking head generation creates lifelike avatars from static portraits for virtual communication and c

arXiv:2602.08236v2 Announce Type: replace-cross Abstract: Despite rapid progress in MLLMs, visual spatial reasoning remains unreliable when correct answers depe

How transfer learning and classical computer vision can work together on edge hardware to save lives Continue reading on Medium »

I am an Electrical Engineering graduate with a focus on deployable AI systems. Reading about these catastrophic numbers, according to the… Continue reading on M

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