About Me | Hsuan-Kung Yang

Hi,

I am Hsuan-Kung Yang (楊炫恭), a Research Scientist in Woven Planet and a Ph.D student in ELSA Lab at National Tsing Hua University (NTHU), Taiwan.

My field of interests lie in the intersection of computer vision (CV) and and reinforcement learning (RL). I try to improve the perception modules and apply them to the autonomous systems.

Currently, I focus on the fields of “Representation Learning for RL”, “Optical Flow Estimation”, and “Human Behavior Understanding”.

See Résumé and Publications for more →.

News:

One IROS’22 paper has been accepted！ The demo video can be accessed here.
The extented version of our paper “Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction” has been accepted by the ECCV’22, see you in Israel (つ´ω`)つ！
Our paper “Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction” has been accepted by the 4th IEEE/CVF CVPR Precognition Workshop!
One WACV’22 full paper accepted 🎉🎉! This work was conducted during my internship at Rakuten Institue of Technology.
I am thrilled to announce that I joined Woven Planet as a Research Scientist from November 2021! I am part of the Vision AI Platform team in the amazing Woven City project.
I will serve in the program committee of ACML 2021 Workshop on Machine Learning for Mobile Robot Vision and Control (MRVC).
I will join Mercari, Inc. as a Machine Learning Intern from September to October, 2021!
One ICML’21 RL Theory Workshop short paper accepted.
It’s unfortunate and sad that the OMRON SINIC internship is canceled due to the COVID-19 :(.
I’m going to OMORN SINIC X, Japan as a Computer Vision Research intern during May to November, 2021.
One IJCAI’20 full paper accepted.