|
Hsin-Ping Huang
I am a fifth-year Ph.D. candidate in the Vision and Learning Lab at University of California, Merced, under the supervision of Prof. Ming-Hsuan Yang. Previously, I received my M.S. in Computer Science from The University of Texas at Austin and my B.S. in Electrical Engineering from National Taiwan University.
My research interests lie in computer vision and machine learning, with a focus on video generation and 3D content creation. I am fortunate to intern at Google with Deqing Sun, Yu-Chuan Su, Hexiang Hu, Lu Jiang, Charles Herrmann, and Yaojie Liu, at Adobe Research with Zhan Xu and Yang Zhou, and to receive advice from Hung-Yu Tseng and Jia-Bin Huang.
I am honored to be a finalist for the Meta PhD Research Fellowship.
I will be seeking full-time positions in late 2024 to 2025.
Email  / 
CV / 
Google Scholar / 
LinkedIn / 
GitHub
|
National Taiwan University B.S. in EE 2013 - 2017
|
University of Texas at Austin M.S. in CS 2017 - 2020
|
University of California, Merced Ph.D. in EECS 2020 - Present
|
Amazon Applied Scientist Intern May 2020 - Aug. 2020
|
Google Research / DeepMind Student Researcher May 2021 - May 2024
|
Adobe Research Research Intern Jun. 2024 - Present
|
|
|
KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities
Hsin-Ping Huang,
Xinyi Wang,
Yonatan Bitton,
Hagai Taitelbaum,
Gaurav Singh Tomar,
Ming-Wei Chang,
Xuhui Jia,
Kelvin C.K. Chan,
Hexiang Hu,
Yu-Chuan Su,
Ming-Hsuan Yang
arXiv 2024
Project Page  / 
Paper
|
|
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification
Hsin-Ping Huang, Junyi Jessy Li
CoNLL 2019
Paper
|
Professional Activities
Journal Reviewer: TPAMI, IJCV, CVIU, Computer Graphics Forum Conference Reviewer (Computer Vision): ECCV'24, ICCV'23, CVPR'23, ECCV'22, CVPR'22, ICCV'21 Conference Reviewer (Artificial Intelligence): IJCAI'24, AAAI'24, IJCAI'23, AAAI'23
|
This page borrows designs from Jon Barron's website.
|
|