Hyovin Kwak
Deep Learning Intern at Pro2Future GmbH- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
English (iBT Score: 103/120) Professional working proficiency
-
Deutsch (telc Deutsch C1 Hochschule, bestanden, Gesamtpunkte: 170/214) Professional working proficiency
-
한국어 Native or bilingual proficiency
Topline Score
Bio
Experience
-
Pro2Future GmbH
-
Austria
-
Research
-
1 - 100 Employee
-
Deep Learning Intern
-
Oct 2021 - Present
-Implementation of edge/corner points detection and open curve proposal of PIE-NET(Wang et al.,2020) based on PointNet++-Setting up a deep learning pipeline based on detection and proposals to extract tunnel profile data e.g. orthogonal cross sections, center axis points approximation(+curve fitting) based on tunnel point cloud data-Processing the ABC Dataset(Koch et al., 2019) to validate the pipeline-Preparation for regular meetings with project partners-(next) Implementation of curve decompositions and research publications
-
-
-
Pro2Future GmbH
-
Austria
-
Research
-
1 - 100 Employee
-
Deep Learning Intern
-
Jan 2021 - Mar 2021
-Setting up pipelines to train/evaluate object detection models in the framework of Tensorflow2 Object Detection API and Detectron2 to detect objects in tunnel images -Setting up pipelines to train/evaluate object detection models in the framework of Tensorflow2 Object Detection API and Detectron2 to detect objects in tunnel images
-
-
-
TU Dortmund University
-
Germany
-
Higher Education
-
700 & Above Employee
-
Studentische Hilfskraft, Lehrstuhl12, Fakultät Informatik
-
Jun 2019 - Oct 2020
- Building a prototype based on Python from what's once already implmented in C++ so that users can compare several face recognition algorithms (e.g. Eigenfaces, Fisherface, LBP faces) and detect faces real time-Implementation of VGG16 face recognition demo-Implementation of FASTER R-CNN face detection and recognition demo in framework of PyTorch-Minor UI developments(PySide2, PyQt) - Building a prototype based on Python from what's once already implmented in C++ so that users can compare several face recognition algorithms (e.g. Eigenfaces, Fisherface, LBP faces) and detect faces real time-Implementation of VGG16 face recognition demo-Implementation of FASTER R-CNN face detection and recognition demo in framework of PyTorch-Minor UI developments(PySide2, PyQt)
-
-
-
American Forces Network
-
Broadcast Media Production and Distribution
-
1 - 100 Employee
-
Broadcast Producer
-
Jul 2012 - Feb 2014
-Military obligation, KATUSA(Korean Augmentation to the US Army) Sergeant -Military obligation, KATUSA(Korean Augmentation to the US Army) Sergeant
-
-
Education
-
Technische Universität Dortmund
Master of Science - MS, Datenwissenschaft (Data Science) -
Konkuk University
Bachelor of Arts - BA, Applied Statistics