miliadis
I am a research engineer at Apple with a focus on deep learning and computer vision. In 2016 I got my Ph.D. in EECS from Northwestern University.
AppleSan Jose, CA
Pinned Repositories
DeepVideoCS
PyTorch deep learning framework for video compressive sensing.
Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
FIRC
MATLAB code of the paper "Robust and Low-Rank Representation for Fast Face Identification with Occlusions", TIP 2017
IntervalTree
Fun Project of Red-Black Interval Tree
miliadis.github.io
mmcv
OpenMMLab Computer Vision Foundation
retinaface-tf2
RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
SRC-RLS
MATLAB code of the paper "Sparse Representation and Least Squares-Based Classification in Face Recognition", EUSIPCO 2014
miliadis's Repositories
miliadis/DeepVideoCS
PyTorch deep learning framework for video compressive sensing.
miliadis/SRC-RLS
MATLAB code of the paper "Sparse Representation and Least Squares-Based Classification in Face Recognition", EUSIPCO 2014
miliadis/FIRC
MATLAB code of the paper "Robust and Low-Rank Representation for Fast Face Identification with Occlusions", TIP 2017
miliadis/Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
miliadis/IntervalTree
Fun Project of Red-Black Interval Tree
miliadis/miliadis.github.io
miliadis/mmcv
OpenMMLab Computer Vision Foundation
miliadis/retinaface-tf2
RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.