roatienza

Deep-Learning-Experiments

Videos, notes and experiments to understand deep learning

deep-text-recognition-benchmark

PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)

straug

Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.

efficientspeech

PyTorch code implementation of EfficientSpeech - to be presented at ICASSP2023.

densemapnet

Keras code of my ICRA 2018 paper "Fast Disparity Estimation using Dense Networks"

skelnet

Keras code of my 2019 CVPR Workshop paper "Pyramid U-Network for Skeleton Extraction from Shape Points"

C-Programming

C Programming Experiments

ml

Foundations of Machine Learning Course Materials.

pc2pix

Keras code of my 2019 CVPR Workshop paper "A Conditional Generative Adversarial Network for Rendering Point Clouds"

agmax

PyTorch code of my WACV 2022 paper Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

benchmark

Utilities to perform deep learning models benchmarking (number of parameters, FLOPS and inference latency)

roatienza

Config files for my GitHub profile.

crazyflie-firmware

The main firmware for the Crazyflie Nano Quadcopter, Crazyflie Bolt Quadcopter and Roadrunner Positioning Tag.

crazyflie-lib-python

Python library to communicate with Crazyflie

efficientspeech-demo

EfficientSpeech inference examples

gym-miniworld

Simple 3D interior simulator for RL & robotics research

roatienza.github.io