Grigorios Kalliatakis

Expert
@GKalliatakis

Medical Computer Vision

Delving-deep-into-GANs. Generative Adversarial Networks (GANs) resources sorted by citations

850

Keras-VGG16-places365. Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

201

Adventures-in-deep-learning. A curated list of Deep Learning resources sorted by reputation

127

Bilateral-Filtering. Applying Bilateral Filtering to images

43

Keras-Application-Zoo. Reference implementations of popular DL models missing from keras-applications & keras-contrib

34

Computer-Vision-Journals-Catalogue. Computer Vision Journals List, Review Speed, Impact Factors

32

Wavelet-decomposition-and-Filter-bank. The wavelet transform and its applications in image denoising

21

Fourier-Analysis-Digital-Images. Fourier analysis applications for image matching.

20

camus-segmentation-pytorch. PyTorch implementation of the two U-Net-based architectures described in "Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography"

16

FBI-Scraper. A simple, multithreaded image scraper implemented in Python for downloading all images from the Flickr web service for a given keyword and time period.

14

LaTeX-Journal-Assistant. :memo: Your LaTeX-based assistant to count on when submitting your scientific documents

9

DisplaceNet. Recognising Displaced People from Images by Exploiting Dominance Level - CVPR '19 Workshop on Computer Vision for Global Challenges (CV4GC)

8

Human-Rights-Archive-CNNs. The Human Rights Archive CNNs for Human Rights Violations Classification

8

Deep-Learning-Lecture-Slides. Lecture slides, in PDF format, accompanying all chapters of the MIT Press book 'Deep Learning'

7

Visualising-Facial-Expression-Changes. In order to complete the process of recognising four universal dominant facial expressions (happiness, anger, sadness and surprise), emotion recognition via facial expressions (ERFE) was adopted

5

BringDepthDataAlive. Implementation of visualisations presented in the paper ‘Conceiving Human Interaction by Visualising Depth Data of Head Pose Changes and Emotion Recognition via Facial Expressions’

4

cheatsheets-ai. Essential Cheat Sheets for deep learning and machine learning researchers

4

Human-Rights-UNderstanding-CNNs. Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?

3

MatDeepRep. A Matlab plugin, built on top of Caffe framework, capable of learning deep representations for image classification using the MATLAB interface – matcaffe & various pretrained caffemodel binaries

2

Video-Recording-using-Matlab-GUIDE-. A Graphical User Interface (GUI) written in Matlab for recording unlimited frames of video in either .avi files or in Matlab's native format .mat from a USB camera.

2

Keras-EMOTIC-resources. Repo to facilitate the loading process of models trained on EMOTIC

1

radimagenet-pytorch. RadImageNet in PyTorch. RadImageNet is an open-access medical imaging database designed for deep learning research and effective transfer learning.

1

MOTA-toolkit. An evaluation toolkit for visual object tracking using different techniques.

1

diffusion-lighthouse. Diffusion Lighthouse is a living, citation-guided index that helps researchers navigate the most impactful work in diffusion models.

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