Rowel Atienza

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

autonomous-robots. Lecture Notes and Experiments on Autonomous Robots

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

roatienza. Config files for my GitHub profile.

roatienza.github.io. HTML

tts-data-pipeline. TTS Data Pipeline for processing audio datasets like LibriTTS and LJSpeech