Weakly Supervised Learning for Attribute Localization in Outdoor Scenes. - Shuo Wang; Jungseock Joo; Yizhou Wang 001; Song Chun Zhu (CVPR, 2013)

Human Attribute Recognition by Rich Appearance Dictionary. - Jungseock Joo; Shuo Wang; Song-Chun Zhu (ICCV, 2013)

Visual Persuasion: Inferring Communicative Intents of Images. - Jungseock Joo; Weixin Li 001; Francis F. Steen; Song-Chun Zhu (CVPR, 2014)

Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face. - Jungseock Joo; Francis F. Steen; Song-Chun Zhu (ICCV, 2015)

Joint Image-Text News Topic Detection and Tracking with And-Or Graph Representation. - Weixin Li 001; Jungseock Joo; Hang Qi 001; Song-Chun Zhu (CoRR, 2015)

Visual Persuasion in Mass Media: A Computational Framework for Understanding Visual Communication. - Jungseock Joo (2015)

Fashion Conversation Data on Instagram. - Yu-i Ha; Sejeong Kwon; Meeyoung Cha; Jungseock Joo (ICWSM, 2017)

Predicting Popular and Viral Image Cascades in Pinterest. - Jinyoung Han; Daejin Choi; Jungseock Joo; Chen-Nee Chuah (ICWSM, 2017)

Cultural Diffusion and Trends in Facebook Photographs. - Quanzeng You; Dario García-García; Manohar Paluri; Jiebo Luo 001; Jungseock Joo (ICWSM, 2017)

Protest Activity Detection and Perceived Violence Estimation from Social Media Images. - Donghyeon Won; Zachary C. Steinert-Threlkeld; Jungseock Joo (ACM Multimedia, 2017)

Red Hen Lab: Dataset and Tools for Multimodal Human Communication Research. - Jungseock Joo; Francis F. Steen; Mark Turner 005 (Künstliche Intell., 2017)

Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph. - Weixin Li 001; Jungseock Joo; Hang Qi 001; Song-Chun Zhu (IEEE Trans. Multim., 2017)

Characterizing Clickbaits on Instagram. - Yu-i Ha; Jeongmin Kim; Donghyeon Won; Meeyoung Cha; Jungseock Joo (ICWSM, 2018)

Social and Political Event Analysis based on Rich Media. - Jungseock Joo; Zachary C. Steinert-Threlkeld; Jiebo Luo 001 (ACM Multimedia, 2018)

Image as Data: Automated Visual Content Analysis for Political Science. - Jungseock Joo; Zachary C. Steinert-Threlkeld (CoRR, 2018)

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age. - Kimmo Kärkkäinen; Jungseock Joo (CoRR, 2019)

Understanding Political Communication Styles in Televised Debates via Body Movements. - Zhiqi Kang; Christina Indudhara; Kaushik Mahorker; Erik P. Bucy; Jungseock Joo (ECCV Workshops (1), 2020)

Understanding the Political Ideology of Legislators from Social Media Images. - Nan Xi; Di Ma; Marcus Liou; Zachary C. Steinert-Threlkeld; Jason Anastasopoulos; Jungseock Joo (ICWSM, 2020)

Cross-Domain Classification of Facial Appearance of Leaders. - Jeewoo Yoon; Jungseock Joo; Eunil Park; Jinyoung Han (SocInfo, 2020)

Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation. - Jungseock Joo; Kimmo Kärkkäinen (CoRR, 2020)

Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text. - Kunwoo Park; Zhufeng Pan; Jungseock Joo (ACL/IJCNLP (Findings), 2021)

Understanding and Mitigating Annotation Bias in Facial Expression Recognition. - Yunliang Chen 003; Jungseock Joo (ICCV, 2021)

Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene. - Qi Wu; Cheng-Ju Wu; Yixin Zhu 001; Jungseock Joo (IROS, 2021)

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation. - Kimmo Kärkkäinen; Jungseock Joo (WACV, 2021)

Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation. - Yu Yang; Aayush Gupta; Jianwei Feng; Prateek Singhal; Vivek Yadav; Yue Wu 001; Pradeep Natarajan; Varsha Hedau; Jungseock Joo (AIES, 2022)

Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention. - Yu Yang; Seungbae Kim; Jungseock Joo (CVPR, 2022)

FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification. - Xiaofeng Lin 005; Seungbae Kim; Jungseock Joo (ECCV (13), 2022)

Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers. - Andrew Choi; Mohammad Khalid Jawed; Jungseock Joo (ICRA, 2022)

MMCHIVED: Multimodal Chile and Venezuela Protest Event Data. - Zachary C. Steinert-Threlkeld; Jungseock Joo (ICWSM, 2022)

Predicting Emotional Intensity in Political Debates via Non-verbal Signals. - Jeewoo Yoon; Jinyoung Han; Erik P. Bucy; Jungseock Joo (INTERSPEECH, 2022)

Emergent Graphical Conventions in a Visual Communication Game. - Shuwen Qiu; Sirui Xie; Lifeng Fan; Tao Gao 004; Jungseock Joo; Song-Chun Zhu; Yixin Zhu 001 (NeurIPS, 2022)

A Fully Implicit Method for Robust Frictional Contact Handling in Elastic Rods. - Dezhong Tong; Andrew Choi; Jungseock Joo; Mohammad Khalid Jawed (CoRR, 2022)

Towards Viewpoint Robustness in Bird's Eye View Segmentation. - Tzofi Klinghoffer; Jonah Philion; Wenzheng Chen; Or Litany; Zan Gojcic; Jungseock Joo; Ramesh Raskar; Sanja Fidler; José M. Álvarez 004 (ICCV, 2023)

Deep Learning of Force Manifolds from the Simulated Physics of Robotic Paper Folding. - Dezhong Tong; Andrew Choi; Demetri Terzopoulos; Jungseock Joo; Mohammad Khalid Jawed (CoRR, 2023)

Sim2Real Physically Informed Neural Controllers for Robotic Deployment of Deformable Linear Objects. - Dezhong Tong; Andrew Choi; Longhui Qin; Weicheng Huang; Jungseock Joo; Mohammad Khalid Jawed (CoRR, 2023)

mBEST: Realtime Deformable Linear Object Detection Through Minimal Bending Energy Skeleton Pixel Traversals. - Andrew Choi; Dezhong Tong; Brian Park; Demetri Terzopoulos; Jungseock Joo; Mohammad Khalid Jawed (IEEE Robotics Autom. Lett., 2023)

Perceived masculinity from Facebook photographs of candidates predicts electoral success. - Kunwoo Park; Jungseock Joo (EPJ Data Sci., 2023)

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation. - Arvind Vepa; Zukang Yang; Andrew Choi; Jungseock Joo; Fabien Scalzo; Yizhou Sun (NeurIPS, 2024)

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation. - Arvind Murari Vepa; Zukang Yang; Andrew Choi; Jungseock Joo; Fabien Scalzo; Yizhou Sun (CoRR, 2024)

Sim2Real Neural Controllers for Physics-Based Robotic Deployment of Deformable Linear Objects. - Dezhong Tong; Andrew Choi; Longhui Qin; Weicheng Huang; Jungseock Joo; Mohammad Khalid Jawed (Int. J. Robotics Res., 2024)

Insightful Instance Features for 3D Instance Segmentation. - Wonseok Roh; Hwanhee Jung; Giljoo Nam; Dong In Lee; Hyeongcheol Park; Sang Ho Yoon; Jungseock Joo; Sangpil Kim (CVPR, 2025)

Learning Neural Force Manifolds for Sim2Real Robotic Symmetrical Paper Folding. - Andrew Choi; Dezhong Tong; Demetri Terzopoulos; Jungseock Joo; Mohammad Khalid Jawed (IEEE Trans Autom. Sci. Eng., 2025)