Assistant Professor
Department of Communication, UCLA
jjoo at comm.ucla.edu
News - A new NSF award on robots and AI with Khalid Jawed!
- NRI: FND: Physics-based training of robots for manipulation of ropes and clothes
- We received an NSF award for a collaborative project between UCLA and Stanford! (2018-2021, $1.15M total)
- RIDIR: Collaborative Research: Integrated Communication Database and Computational Tools
- I will give a tutorial at ACM MM 2018
- I received Hellman Fellowship award for my research on fake news and misinformation!
- A paper accepted by ICWSM 2018 on clickbaits on Instagram.
- Our code & dataset for protest activity analysis -- github
- Red Han lab published articles on computational approaches to multimodal human communication.
- A paper accepted by ACM MM 2017 on protest activity analysis using social media images.
-- A feature article at The Register - Three papers were accepted by ICWSM 2017!
Positions- Assistant Professor, Department of Communication, UCLA, 2016 -
- Research Scientist, Facebook, 2015 - 2016
Education
- PhD, Computer Science, UCLA, 2015
- MS, Computer Science, Columbia University, 2010
- BS, Computer Science and Engineering, Seoul National University, 2008
Publications- FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age [pdf]
- Kimmo Kärkkäinen, Jungseock Joo
- arXiv, 2019
- Understanding the Political Ideology of Legislators from Social Media Images [pdf]
- Nan Xi, Di Ma, Marcus Liou, Zachary C. Steinert-Threlkeld, Jason Anastasopoulos, and Jungseock Joo
- The International AAAI Conference on Web and Social Media (ICWSM), 2020. Accepted
- Automated Coding of Televised Leader Displays: Detecting Nonverbal Political Behavior With Computer Vision and Deep Learning
- Jungseock Joo, Erik Bucy, and Claudia Seidel
- International Journal of Communication. 2019.
- Characterizing Clickbaits on Instagram [pdf]
- Yu-I Ha, Jeongmin Kim, Donghyeon Wonn, Meeyoung Cha, and Jungseock Joo
- The International AAAI Conference on Web and Social Media (ICWSM), 2018.
- Toward an Infrastructure for Data-driven Multimodal Communication Research [pdf]
Francis F Steen, Anders Hougaard, Jungseock Joo, Inés Olza, Cristóbal Pagán Cánovas, Anna Pleshakova, Soumya Ray, Peter Uhrig, Javier Valenzuela, Jacek Woźny, Mark Turner
Linguistics Vanguard, 2018.
- Red Hen Lab: Dataset and Tools for Multimodal Human Communication Research [pdf]
Jungseock Joo, Francis F. Steen, and Mark Turner
KI-Künstliche Intelligenz, 2018.
- Protest Activity Detection and Perceived Violence Estimation from Social Media Images [pdf]
Donghyeon Won, Zachary C. Steinert-Threlkeld, and Jungseock Joo
Proceedings of the ACM International Conference on Multimedia (ACM MM), 2017.
- Cultural Diffusion and Trends in Facebook Photographs [pdf] [slides]
Quanzeng You, Darío García-García, Manohar Paluri, Jiebo Luo, and Jungseock Joo
The International AAAI Conference on Web and Social Media (ICWSM), 2017.
- Predicting Popular and Viral Image Cascades in Pinterest [pdf]
Jinyoung Han, Daejin Choi, Jungseock Joo, and Chen-Nee Chuah
The International AAAI Conference on Web and Social Media (ICWSM), 2017.
- Fashion Conversation Data on Instagram [pdf]
- Yu-I Ha, Sejeong Kwon, Meeyoung Cha, and Jungseock Joo
- The International AAAI Conference on Web and Social Media (ICWSM), 2017.
- Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph [pdf]
Weixin Li, Jungseock Joo, Hang Qi, and Song-Chun Zhu
IEEE Transactions on Multimedia, 2017.
- Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face [pdf]
Jungseock Joo, Francis F. Steen, and Song-Chun Zhu
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015.
- Coiling of Elastic Rods on Rigid Substrates [pdf] [html]
Mohammad K Jawed, Fang Da, Jungseock Joo, Eitan Grinspun, and Pedro M Reis
Proceedings of the National Academy of Sciences of the USA (PNAS), 111:41, 14663-14668, 2014.
- Visual Persuasion: Inferring Communicative Intents of Images [pdf] [project]
Jungseock Joo, Weixin Li, Francis F. Steen, and Song-Chun Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
- MEDIA - Is a Picture Worth 1,000 Polls? by Virginia Postrel.
Bloomberg View. June 25, 2014.
- Human Attribute Recognition by Rich Appearance Dictionary [pdf]
Jungseock Joo, Shuo Wang, and Song-Chun Zhu
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2013.
- Weakly Supervised Learning for Attribute Localization in Outdoor Scenes [pdf]
Shuo Wang, Jungseock Joo, Yizhou Wang, and Song-Chun Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
-
Hierarchical Organization by And-Or Tree [pdf]
Jungseock Joo, Shuo Wang, and Song-Chun Zhu
Book chapter in Handbook of Perceptual Organization, eds.J. Wagemans, Springer, 2012
Current Students - Qi Wu, PhD student in Mechanical Engineering
- Alex Chan, Master student in Statistics
- Danni Chen, Undergraduate student in Computer Science
- Chaewon Bak, Undergraduate student in Sociology
- Lawrence Chen, Undergraduate student in Statistics
- Christina Indudhara, Undergraduate student in Statistics
Former Students - Kimmo Kärkkäinen, PhD student in Computer Science
- Claudia Seidel, Master student in Computer Science
- Jimmy Wu, PhD student in Mechanical Engineering
- Di Ma. Master in Computer Science (Salesforce)
- Marcus Liou. Master in Computer Science
- Taylor Caulfield. Master in Computer Science. (Facebook)
- Donghyeon Won. Master in Electrical Engineering. (nuTonomy)
- Taein Kwon. Master in Electrical Engineering. (PhD student in ETHZ)
Teaching
- UCLA CommSt 155: Artificial Intelligence and New Media. 2017 -
- UCLA CommSt 158: Revolutions in Communication Technology. 2015 -
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