Jyh-Jing Hwang

        I will be joining Waymo Research as a Research Scientist from summer 2020.
        In 2020, I earned my Ph.D. degree in Computer and Information Science from University of Pennsylvania, advised by Prof. Jianbo Shi and Prof. Stella Yu at UC Berkeley / ICSI. During my study, I was fortunate to have the opportunities to intern at Facebook AI Research and Google Research.
        Before coming to the U.S., I received the B.S. and M.S. degrees in EE, advised by Prof. Liang-Gee Chen, from National Taiwan University and worked with Dr. Tyng-Luh Liu as a research assistant at Academia Sinica.
        My research interests are broadly in computer vision, deep learning, and machine learning. Particularly, I am interested in understanding general image/video structures and scenes.

Publications

SegSort: Segmentation by Discriminative Sorting of Segments

Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
International Conference on Computer Vision (ICCV), 2019

[ Paper ] [ Code ] [ Webpage ]

Adversarial Structure Matching for Structured Prediction Tasks

Jyh-Jing Hwang*, Tsung-Wei Ke*, Jianbo Shi, Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

[ Paper ] [ Code ] [ Webpage ]

DeeperLab: Single-Shot Image Parser

Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
Technical report, 2019

[ Paper ]

Adaptive Affinity Fields for Semantic Segmentation

Tsung-Wei Ke*, Jyh-Jing Hwang*, Ziwei Liu, Stella X. Yu
European Conference on Computer Vision (ECCV), 2018

[ Paper ] [ Code ] [ Webpage ]

Learning Beyond Human Expertise with Generative Models for Dental Restorations

Jyh-Jing Hwang, Sergei Azernikov, Alexei A. Efros, Stella X. Yu
Technical report, 2018

[ Paper ]

Force from Motion: Decoding Physical Sensation in a First Person Video

Hyun Soo Park, Jyh-Jing Hwang, Jianbo Shi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Oral

[ Paper ] [ Webpage ]

Egocentric Future Localization

Hyun Soo Park, Jyh-Jing Hwang, Yedong Niu, and Jianbo Shi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Oral

[ Paper ] [ Webpage ]

Pixel-wise Deep Learning for Contour Detection

Jyh-Jing Hwang, Tyng-Luh Liu
International Conference on Learning Representations (ICLR), 2015, Workshop

[ Paper ]

Contour Detection Using Cost-Sensitive Convolutional Neural Networks

Jyh-Jing Hwang, Tyng-Luh Liu
Technical report, 2014

[ Paper ]

Experiences

Intern at Facebook AI Research


2019.05-2019.08

Intern at Google AI

  • Researched "SegSort: Segment Sorting for Semantic Segmentation".
  • Participated in the development of DeeperLab.

2018.06-2018.09

Graduate Student Researcher at UC Berkeley / ICSI

Worked with Prof. Stella Yu. Affliated with Berkeley DeepDrive.
  • Researched "Adversarial Structure Matching for Structured Prediction Tasks".
  • Researched "Adaptive Affinity Fields for Semantic Segmentation".
  • Researched "Learning Beyond Human Expertise with Generative Models for Dental Restorations" and collaborated with Prof. Alexei A. Efros and Dr. Sergei Azernikov at Glidewell Dental Labs.
  • Researched several projects, e.g., vehicle detection in aerial imagery, timely attention for autonomous driving, etc..



2017.06-Now

Graduate Teaching Assistant at University of Pennsylvania

Assisted courses CIS 680, CIS 520, and CIS 581.

2017 Fall
2016 Fall
2015 Fall