I'm a Research Engineer at NAVER Clova. My current research interest is on deep learning for visual recognition on image/video domain such as object detection, instance/panoptic segmentation, person keypoints estimation and multi-object tracking.
Fast Perception, Planning, and Execution for a Robotic Butler: Wheeled Humanoid M-Hubo
Moonyoung Lee, Yujin Heo, Jinyong Park, Hyundae Yang, Ho-Deok Jang, Philipp Benz, Hyunsub Park, In So Kweon, Jun-Ho Oh
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
Visual recognition algorithm for robot manipulation
Member : Ho-Deok Jang and Philipp Benz
Task : Developing a visual recognition system for robot manipulation. Specifically, the work is to design a 2d/3d object detection algorithms based on an RGB-D sensor and build a custom dataset for the task. Refer to a demo video below for the results.
Software : Python, PyTorch, ROS
Demo : [video-demo]
Implemented and reproduced "Zhu et al. Feature Selective Anchor-Free Module for Single-Shot Object Detection. CVPR, 2019." in PyTorch (Sep. 2019).
Task: object detection
Note: To my best knowledge, this is the "first" open source code that implements and reproduces this paper on github at the time of upload.