Computer Vision

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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Originally published on my blog. GitHub: ScrumSurvivor. My Friend Had a Cameras-On Problem....

Your drop-in replacement for custom classification, detection, and visual search. Continue reading on Medium »

Computer vision is the art of teaching a computer to see. Continue reading on Medium »

TL;DR: We spent three weeks chasing a 6 mAP regression in an event-camera object detector. The model...

In today’s digital world, computer skills have become essential for building successful careers across industries. Whether you are a… Continue reading on Medium

Artificial Intelligence systems that understand indoor environments are becoming increasingly important across industries such as real… Continue reading on Medi

arXiv:2605.30689v1 Announce Type: cross Abstract: Zero-shot Temporal Action Localization (ZS-TAL) aims to detect and locate previously unseen actions in untrimm

arXiv:2605.31094v1 Announce Type: cross Abstract: The Panoptic Quality (PQ) metric is the standard for jointly evaluating instance and semantic segmentation. Ho

arXiv:2605.31120v1 Announce Type: cross Abstract: We propose a new method for synthesizing physically-based swimming motions. Physically-based character animati

arXiv:2605.31145v1 Announce Type: cross Abstract: In-context localization (ICL) seeks to localize a target object specified by a small set of support examples i

arXiv:2605.31196v1 Announce Type: cross Abstract: Safe human--robot collaboration requires more than visual description: a monitor must determine whether the ro

arXiv:2605.31534v1 Announce Type: cross Abstract: Three-dimensional scene reconstruction depends on local image evidence that is both visually discriminative an

arXiv:2605.31535v1 Announce Type: cross Abstract: Self-supervised novel view synthesis (NVS) remains challenging to scale, despite the abundance of video data,

arXiv:2507.11075v2 Announce Type: replace-cross Abstract: Marker-free human pose estimation (HPE) has found increasing applications in various fields. Current H

arXiv:2510.14904v3 Announce Type: replace-cross Abstract: Dense Video Object Captioning (DVOC) is the task of jointly detecting, tracking, and captioning object

Vision Transformers Pytorch code Continue reading on Medium »

the evolution of forensic verification in the age of generative noise For developers working in computer vision (CV) and biometrics, the news of $893M in AI-sca

1. Overview In this project, I implemented a simple software renderer using Python and...

Hepimizin başına gelmiştir: Elimizde uzunca bir belgenin, bir faturanın veya kitaptaki harika bir alıntının fotoğrafı vardır ve o metni… Continue reading on Med

Siber güvenlik veya network dünyasına yeni giren herkesin karşısına bir noktada OSI modeli çıkar. Continue reading on Medium »

In computer vision, the Scale-Invariant Feature Transform (SIFT) algorithm remains a classic foundational standard for keypoint detection… Continue reading on M

From filters to feature maps: building networks that actually see. Continue reading on Medium »

From filters to feature maps: building networks that actually see. Continue reading on Medium »

From filters to feature maps: building networks that actually see. Continue reading on Medium »

From filters to feature maps: building networks that actually see. Continue reading on Medium »

La programación gráfica permite crear imágenes mediante instrucciones ejecutadas por la tarjeta gráfica. Este campo no solo sirve para… Continue reading on Medi

Hi everyone, I’m working on a shape detection project where the user draws on a whiteboard/canvas, and the system converts the drawing into a detected shape. Th

If you would like to follow along you will need Google Colab or Jupyter Notebook and these libraries: Continue reading on Medium »

Researchers tackle fundamental gaps in motion detection by grounding segmentation in spatiotemporal coordinates rather than relying on pre-computed 2D approxima

My paper was recently accepted to a workshop at CVPR-2026 as non-archival acceptance. Is it mandatory for me to register to the conference as I won't be able to

Artificial Intelligence has made remarkable progress over the past decade, but one of the most impactful areas is computer vision. Continue reading on Medium »