Angel Villar-Corrales's Projects
A curated list of awesome computer vision resources
This project uses image processing techniques to perform face detection and deep learning in order to replace the faces by an emoji similar to the detected facial expression.
ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.
This project uses regular image processing techniques in order to emulate the invisble cloak from the movie Harry Potter and the Philosopher's Stone
PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference
Clone of the LLM Tutorial (Lamarr) provided by CASIA-LAB on 13.03.2024
Official implementation of 'MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and Motion' BMVC. 2024
Official implementation of "Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks." by Villar-Corrales et al.
Code to reproduce our NimbRoNet3 results for real-time preception on the soccer field
Unsupervised Learning and Pattern Analysis algortithms from the PA course offered by the Computer Science department at FAU.
Pose-Based Retrieval Web Tool
A learning rate range test implementation in PyTorch
pytorch implementation of openpose including Hand and Body Pose Estimation.
Prject for the HackZurich 2020 Hacktohn
Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"
Offical implementation of "Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-Grounded Style Transfer Learning" by Mahdu, Villar-Corrales, et al.
Official implementation of "Deep learning architectural designs for super-resolution of noisy images" by Villar et al. ICASSP 2021
SynPick dataset generator
Helpers for loading, perprocessing and visualizing the SynpickVP dataset for video-based prediciton tasks
Simple template for quick prototyping and standardization of deep learning projects
🐝 Custom Object Detection and Classification Training
Tutorial on Autoencoders. The notebooks and code here contained explain how autoencoders work and illustrate some of their common applications
Official implementation of: Villar-Corrales and Behnke, "Unsupervised Image Decomposition with Phase-Correlation Networks", VISAPP 2022
A general framework for video prediction in PyTorch.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.