About me
I am a first year PhD at Carnegie Mellon University, Robotics Institute, advised by Abhinav Gupta. My interests are in the intersection of computer vision and machine learning. I did my undergrad & masters at Korea University under professor Jaegul Choo(now @ KAIST).
[Google scholar] [Github] contact: seungjoy@andrew.cmu.edu
News
[June 2019] I interned at Adobe Research San Francisco, where I had a wonderful time being mentored by Richard Zhang, Cynthia Liu, and Matt Fisher
[Jan 2019] I received the Adobe Research Women-in-Technology Scholarship Award. Thank you Adobe :)
Publications
-
Multimodal Image Translation with Stochastic Style Representations and Mutual Information Loss
Sanghyeon Na, Seungjoo Yoo, and Jaegul Choo
BMVC 2020 (Oral) -
Exploring Unlabeled Faces for Novel Attribute Discovery
Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, and Jaegul Choo
CVPR 2020
[pdf] -
Coloring with Limited Data: Few-shot Colorization via Memory-Augmented Networks
Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, and Jaegul Choo
CVPR 2019
[pdf][project page] -
Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation
Hyojin Bahng*, Seungjoo Yoo*, Wonwoong Cho*, David K. Park, Ziming Wu, Xiaojuan Ma, and Jaegul Choo (*: equal contribution)
ECCV 2018
[pdf] -
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
David K. Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, and Noseong Park
IJCAI 2018
[pdf]
Other
My name is pronounced “Soongjoo” and I prefer to be called Joo :)
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