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Jungseock Joo
Jungseock Joo
Principal Engineer, Nvidia; Associate Professor, UCLA
Verified email at cs.ucla.edu - Homepage
Title
Cited by
Cited by
Year
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation
K Karkkainen, J Joo
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
213*2021
Visual persuasion: Inferring communicative intents of images
J Joo, W Li, FF Steen, SC Zhu
Proceedings of the IEEE conference on computer vision and pattern …, 2014
1072014
Protest activity detection and perceived violence estimation from social media images
D Won, ZC Steinert-Threlkeld, J Joo
Proceedings of the 25th ACM international conference on Multimedia, 786-794, 2017
852017
Coiling of elastic rods on rigid substrates
MK Jawed, F Da, J Joo, E Grinspun, PM Reis
Proceedings of the National Academy of Sciences 111 (41), 14663-14668, 2014
832014
Automated facial trait judgment and election outcome prediction: Social dimensions of face
J Joo, FF Steen, SC Zhu
Proceedings of the IEEE international conference on computer vision, 3712-3720, 2015
662015
Weakly supervised learning for attribute localization in outdoor scenes
S Wang, J Joo, Y Wang, SC Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
582013
Human Attribute Recognition by Rich Appearance Dictionary
J Joo, S Wang, SC Zhu
International Conference on Computer Vision (ICCV), 721-728, 2013
562013
Image as data: Automated visual content analysis for political science
J Joo, ZC Steinert-Threlkeld
arXiv preprint arXiv:1810.01544, 2018
452018
Understanding the political ideology of legislators from social media images
N Xi, D Ma, M Liou, ZC Steinert-Threlkeld, J Anastasopoulos, J Joo
Proceedings of the international aaai conference on web and social media 14 …, 2020
43*2020
News and Geolocated Social Media Accurately Measure Protest Size Variation
A SOBOLEV, MK CHEN, J JOO, ZC STEINERT-THRELKELD
American Political Science Review, 1-9, 2020
31*2020
Automated Coding of Televised Leader Displays: Detecting Nonverbal Political Behavior With Computer Vision and Deep Learning.
J Joo, EP Bucy, C Seidel
International Journal of Communication 13, 4044-4066, 2019
312019
Joint image-text news topic detection and tracking by multimodal topic and-or graph
W Li, J Joo, H Qi, SC Zhu
IEEE Transactions on Multimedia 19 (2), 367-381, 2016
312016
Toward an infrastructure for data-driven multimodal communication research
FF Steen, A Hougaard, J Joo, I Olza, CP Cánovas, A Pleshakova, S Ray, ...
Linguistics Vanguard 4 (1), 2018
282018
Fashion Conversation Data on Instagram
YI Ha, S Kwon, M Cha, J Joo
International AAAI Conference on Web and Social Media (ICWSM), 418-427, 2017
282017
Red Hen Lab: Dataset and tools for multimodal human communication research
J Joo, FF Steen, M Turner
KI-Künstliche Intelligenz 31 (4), 357-361, 2017
262017
Gender slopes: Counterfactual fairness for computer vision models by attribute manipulation
J Joo, K Kärkkäinen
Proceedings of the 2nd international workshop on fairness, accountability …, 2020
222020
Characterizing clickbaits on instagram
Y Ha, J Kim, D Won, M Cha, J Joo
Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018
182018
Cultural Diffusion and Trends in Facebook Photographs
Q You, D García-García, M Paluri, J Luo, J Joo
International AAAI Conference on Web and Social Media (ICWSM), 347-356, 2017
182017
How state and protester violence affect protest dynamics
ZC Steinert-Threlkeld, AM Chan, J Joo
The Journal of Politics 84 (2), 798-813, 2022
16*2022
FairFace: face attribute dataset for balanced race, gender, and age. arXiv
K Kärkkäinen, J Joo
arXiv preprint arXiv:1908.04913, 2019
16*2019
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Articles 1–20