Research

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.

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation (WACV 2021)

• github (code & data)

• paper

Communicative Learning via Instructional Gestures for Embodied Navigation Agents (IROS 2021)

• GesTHOR: Simulation framework for human-agent interaction via gestures

• https://sites.google.com/view/iros2021-gesthor/home

Protest Activity Detection and Perceived Violence Estimation (ACM MM 2017)

• code

• Contact me for the dataset