Computer Vision

arXiv:2606.24178v1 Announce Type: cross Abstract: Pretrained vision models often misclassify inputs that are rotated, scaled, or sheared, even though these affi

arXiv:2606.24874v1 Announce Type: cross Abstract: Sparse voxel representation has emerged as a scalable foundation for image-to-3D Gaussian Splatting (3DGS) gen

Build a Real-Time Gesture Controlled Invisibility Cloak using Python, MediaPipe, and OpenCV! 🪄💻 In this computer vision tutorial, we are creating an interacti

A step-by-step guide to deploying your first Computer Vision AI project using OpenCV and Streamlit. Continue reading on Medium »

A step-by-step guide to deploying your first Computer Vision AI project using OpenCV and Streamlit. Continue reading on Medium »

Here’s What Actually Worked Continue reading on Medium »

Here’s What Actually Worked Continue reading on Medium »

I just started my internship at PreserveMy.World, a project focused on digitally preserving cultural...

How I built a real-time face recognition pipeline that detects faces at the edge on AWS IoT Greengrass and recognizes them serverlessly with Lambda, glued toget

TL;DR: At Photoroom we run a vision-language model as the last check before a generated product image...

The first entry in a live builder's log. I'm competing in the Hyperspectral Object Tracking Challenge 2026: track one object through video shot in colors the hu

Historically, real-time light transport in participating media has mainly been handled with simplified physics simulations and crude… Continue reading on Medium

arXiv:2502.17843v1 Announce Type: cross Abstract: Automatic Vehicle Detection (AVD) in diverse driving environments presents unique challenges due to varying li

arXiv:2606.20707v1 Announce Type: cross Abstract: While humans can identify physically implausible events within milliseconds, machine learning approaches addre

arXiv:2606.20731v1 Announce Type: cross Abstract: Large-scale human motion datasets are essential for training robust motion models for analysis, synthesis, and

arXiv:2606.20768v1 Announce Type: cross Abstract: Visual anomaly detection is a fundamental task in industrial automation. While existing approaches have achiev

arXiv:2606.20799v1 Announce Type: cross Abstract: Generating visually consistent multi-shot videos remains an open challenge. As videos span more shots, inconsi

arXiv:2606.21115v1 Announce Type: cross Abstract: Remote photoplethysmography (rPPG) is a camera-based technique for measuring physiological signals, particular

arXiv:2606.21244v1 Announce Type: cross Abstract: 3D Gaussian Splatting achieves exceptional real-time rendering, but its substantial computational and storage

arXiv:2606.21753v1 Announce Type: cross Abstract: 3D Gaussian Splatting (3DGS) has achieved state-of-the-art photorealistic rendering, but the representation ga

arXiv:2606.22182v1 Announce Type: cross Abstract: This paper explores a novel brain decoding model for 3D shape perception through a dual pathway architecture m

arXiv:2606.22445v1 Announce Type: cross Abstract: UV parameterization is a fundamental step in 3D content creation, yet producing production-ready UV layouts re

arXiv:2606.22550v1 Announce Type: cross Abstract: Autoregressive visual models (AVMs) based on next-scale prediction have emerged as a prominent paradigm for im

arXiv:2606.22574v1 Announce Type: cross Abstract: While synthetic data generation resolves the manual labeling bottleneck in computer vision, minimizing the syn

arXiv:2606.22829v1 Announce Type: cross Abstract: Intraoperative Adverse Events (IAEs) detection is critical for improving surgical safety, with bleeding being

arXiv:2606.22835v1 Announce Type: cross Abstract: Controllable video generation demands independent command of the camera and the subject, yet 2D conditioning e

arXiv:2606.23061v1 Announce Type: cross Abstract: Motion instruction generation in cross-video comparison aims to produce corrective feedback that describes the

arXiv:2606.23436v1 Announce Type: cross Abstract: Unsupervised video object tracking aims to decompose dynamic scenes into persistent, object-centric entities w

arXiv:2505.17338v2 Announce Type: replace-cross Abstract: Photorealistic volumetric rendering of CT scans greatly benefits clinical workflows, yet neural approa

arXiv:2512.24946v2 Announce Type: replace-cross Abstract: Existing film-restoration methods frequently fail under fast motion, producing limb disappearance and

arXiv:2606.18429v2 Announce Type: replace-cross Abstract: Accurately aligning CAD models to their corresponding objects in indoor RGB-D scans is a central chall

Computer Vision, CNN, EfficientNet, Vision Transformer (ViT), Deep Learning, Attention Mechanism, Transfer Learning, OpenCV, TensorFlow… Continue reading on Med

In industries where compliance violations can directly impact customer health, this becomes incredibly important.

How Roboflow’s RF-DETR transformer beats YOLO11 on COCO, skips NMS, and where the benchmark numbers deserve a closer look. Continue reading on Towards Deep Lear

cache invalidation is one of the genuinely hard problems in computer science, mostly because the...

With the release of meta-reviews, ECCV sent out a google form for dissatisfied authors to submit an appeal for the following reasons: Policy errors, e.g., revie

The engineering reality of biometric friction For developers building in the computer vision and...

This blog is inspired from iirs -distance learning programme by isro and iirs ( Institute of remote sensing Dehraun) which i had attended. Continue reading on M

“Clifford Vortex Filaments” is a generative media art piece that dives deep into chaos theory and non-linear dynamics, visualizing a… Continue reading on Medium

A small experiment of mine :) Happy to hear your thought about this submitted by /u/soupgasm [link] [comments]

In 1947 a moth jammed in Harvard's Mark II became the first computer bug ever logged. Here is the real story and why debugging still defines IoT and embedded wo

arXiv:2606.19676v1 Announce Type: cross Abstract: Diffusion models have achieved remarkable success in image and video generation and editing. While recent stud

arXiv:2606.19733v1 Announce Type: cross Abstract: Efficiently retrieving specific 3D instances from large-scale scenes via natural language prompts remains a fo

arXiv:2606.19805v1 Announce Type: cross Abstract: Transferring the camera motion of a reference video to a freshly generated one lets creators reuse cinematic m

arXiv:2606.19867v1 Announce Type: cross Abstract: Computed Tomography (CT) is essential for diagnosing pediatric craniofacial abnormalities, yet poses radiation

arXiv:2606.19932v1 Announce Type: cross Abstract: Mamba demonstrates strong efficiency in modeling long visual sequences. However, when token reduction is appli

arXiv:2606.20045v1 Announce Type: cross Abstract: UAV Vision-Language Navigation (UAV-VLN) is typically formulated as a holistic search-and-reach problem, where

arXiv:2602.23172v2 Announce Type: replace-cross Abstract: Capturing 4D spatiotemporal scene structure is crucial for the safe and reliable operation of robots i