Social Sciences, CSS and Data Science
How Information Flows from the World to China. Y Lu, J Schaefer, K Park, J Joo, J Pan. The International Journal of Press/Politics. 2022
Image as Data: Automated Content Analysis for Visual Presentations of Political Actors and Events. Jungseock Joo and Zachary C. Steinert-Threlkeld. Computational Communication Research. 2022
How State and Protester Violence Affect Protest Dynamics. Zachary C. Steinert-Threlkeld, Alex Chan, and Jungseock Joo. The Journal of Politics. 2022
Automatically Detecting Image-Text Mismatch on Instagram with Deep Learning. Yui Ha, Kunwoo Park, Su Jung Kim, Jungseock Joo, Meeyoung Cha. Journal of Advertising. 2020
News and Geolocated Social Media Accurately Measure Protest Size Variation Anton Sobolev, Keith Chen, Jungseock Joo, and Zachary C. Steinert-Threlkeld American Political Science Review. 2020
Understanding the Political Ideology of Legislators from Social Media Images. 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.
Image as data: Automated visual content analysis for political science. Jungseock Joo and Zachary C. Steinert-Threlkeld. 2019
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.
Cultural Diffusion and Trends in Facebook Photographs. Quanzeng You, Darío García-García, Manohar Paluri, Jiebo Luo, and Jungseock Joo. The International AAAI Conference on Web and Social Media (ICWSM), 2017.
Fashion Conversation Data on Instagram. Yu-I Ha, Sejeong Kwon, Meeyoung Cha, and Jungseock Joo The International AAAI Conference on Web and Social Media (ICWSM), 2017.
Computer Science and Engineering
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification. X Lin, S Kim, J Joo. ECCV 2022
Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation. Y Yang, A Gupta, J Feng, P Singhal, V Yadav, Y Wu, P Natarajan, V Hedau, J Joo. AIES 2022
Explaining Deep Neural Networks by Unsupervised Visual-Semantic Attention Projection. Yu Yang, Seungbae Kim, and Jungseock Joo. CVPR 2022
Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers. Andrew Choi, Mohammad K. Jawed, and Jungseock Joo. ICRA 2022
Understanding and Mitigating Annotation Bias in Facial Expression Recognition. Yunliang Chen and Jungseock Joo. ICCV 2021
Communicative Learning via Instructional Gestures for Embodied Navigation Agents. Qi Wu, Jimmy Wu, Yixin Zhu, and Jungseock Joo. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2021
Implicit Contact Model for Discrete Elastic Rods in Knot Tying. Andrew Choi, Dezhong Tong, Mohammad K. Jawed, and Jungseock Joo. Journal of Applied Mechanics. 2021
Who Blames or Endorses Whom? Extracting Directed Sentiment between Political Entities in News Articles. Kunwoo Park, Zhufeng Pan, and Jungseock Joo. Findings of ACL. 2021
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation. Kimmo Kärkkäinen, Jungseock Joo. Winter Conference on Applications of Computer Vision (WACV), 2021
Protest Activity Detection and Perceived Violence Estimation from Social Media Images. Donghyeon Won, Zachary C. Steinert-Threlkeld, and Jungseock Joo Proceedings of the ACM International Conference on Multimedia, 2017.
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face. 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), 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.
Human Attribute Recognition by Rich Appearance Dictionary. Jungseock Joo, Shuo Wang, and Song-Chun Zhu. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2013.
Grants and Awards
NSF "RIDIR: Collaborative Research: Integrated Communication Database and Computational Tools". 2018-2022. $1.15M
PI: Jungseock Joo. Co-PI: Tim Groeling, Francis Steen, Zachary Steinert-Threlkeld (UCLA), Jennifer Pan (Stanford)
NSF "NRI: FND: Physics-based training of robots for manipulation of ropes and clothes". 2019-2022. $750K
PI: Khalid Jawed (UCLA). Co-PI: Jungseock Joo
Samsung Display. 2020-2021. $150K
UCLA Faculty Career Development Award
Code and Datasets
Communicative Learning via Instructional Gestures for Embodied Navigation Agents (IROS 2021)
GesTHOR: Simulation framework for human-agent interaction via gestures
Protest Activity Detection and Perceived Violence Estimation (ACM MM 2017)
Contact me for the dataset