Search Results for author: Jungseock Joo

Found 19 papers, 6 papers with code

Towards Viewpoint Robustness in Bird's Eye View Segmentation

no code implementations ICCV 2023 Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, Jose M. Alvarez

We introduce a technique for novel view synthesis and use it to transform collected data to the viewpoint of target rigs, allowing us to train BEV segmentation models for diverse target rigs without any additional data collection or labeling cost.

Autonomous Vehicles Novel View Synthesis

FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification

1 code implementation22 Jul 2022 Xiaofeng Lin, Seungbae Kim, Jungseock Joo

Existing pruning techniques preserve deep neural networks' overall ability to make correct predictions but may also amplify hidden biases during the compression process.

Attribute Fairness

Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention

1 code implementation CVPR 2022 Yu Yang, Seungbae Kim, Jungseock Joo

We also demonstrate a novel application of our method for unsupervised dataset bias analysis which allows us to automatically discover hidden biases in datasets or compare different subsets without using additional labels.

Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers

no code implementations1 Mar 2022 Andrew Choi, Mohammad Khalid Jawed, Jungseock Joo

To minimize such idle time, the robot must preemptively predict the human intent of where the object will be placed.

Motion Planning Object

Understanding and Mitigating Annotation Bias in Facial Expression Recognition

no code implementations ICCV 2021 Yunliang Chen, Jungseock Joo

We demonstrate that many expression datasets contain significant annotation biases between genders, especially when it comes to the happy and angry expressions, and that traditional methods cannot fully mitigate such biases in trained models.

Facial Expression Recognition Facial Expression Recognition (FER)

Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene

1 code implementation5 Aug 2021 Qi Wu, Cheng-Ju Wu, Yixin Zhu, Jungseock Joo

In a series of experiments, we demonstrate that human gesture cues, even without predefined semantics, improve the object-goal navigation for an embodied agent, outperforming various state-of-the-art methods.

Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation

no code implementations21 May 2020 Jungseock Joo, Kimmo Kärkkäinen

Automated computer vision systems have been applied in many domains including security, law enforcement, and personal devices, but recent reports suggest that these systems may produce biased results, discriminating against people in certain demographic groups.

Attribute counterfactual +1

Understanding the Political Ideology of Legislators from Social Media Images

no code implementations22 Jul 2019 Nan Xi, Di Ma, Marcus Liou, Zachary C. Steinert-Threlkeld, Jason Anastasopoulos, Jungseock Joo

In this paper, we seek to understand how politicians use images to express ideological rhetoric through Facebook images posted by members of the U. S. House and Senate.

Image as Data: Automated Visual Content Analysis for Political Science

no code implementations3 Oct 2018 Jungseock Joo, Zachary C. Steinert-Threlkeld

Image data provide unique information about political events, actors, and their interactions which are difficult to measure from or not available in text data.

Protest Activity Detection and Perceived Violence Estimation from Social Media Images

1 code implementation18 Sep 2017 Donghyeon Won, Zachary C. Steinert-Threlkeld, Jungseock Joo

We also release the UCLA Protest Image Dataset, our novel dataset of 40, 764 images (11, 659 protest images and hard negatives) with various annotations of visual attributes and sentiments.

Action Detection Activity Detection

Cultural Diffusion and Trends in Facebook Photographs

no code implementations24 May 2017 Quanzeng You, Darío García-García, Mahohar Paluri, Jiebo Luo, Jungseock Joo

Online social media is a social vehicle in which people share various moments of their lives with their friends, such as playing sports, cooking dinner or just taking a selfie for fun, via visual means, that is, photographs.

Fashion Conversation Data on Instagram

no code implementations13 Apr 2017 Yu-I Ha, Sejeong Kwon, Meeyoung Cha, Jungseock Joo

The fashion industry is establishing its presence on a number of visual-centric social media like Instagram.

Marketing

Joint Image-Text News Topic Detection and Tracking with And-Or Graph Representation

no code implementations15 Dec 2015 Weixin Li, Jungseock Joo, Hang Qi, Song-Chun Zhu

The AOG embeds a context sensitive grammar that can describe the hierarchical composition of news topics by semantic elements about people involved, related places and what happened, and model contextual relationships between elements in the hierarchy.

Clustering

Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face

no code implementations ICCV 2015 Jungseock Joo, Francis F. Steen, Song-Chun Zhu

Secondly, our model can categorize the political party affiliations of politicians, i. e., Democrats vs. Republicans, with the accuracy of 62. 6% (male) and 60. 1% (female).

Weakly Supervised Learning for Attribute Localization in Outdoor Scenes

no code implementations CVPR 2013 Shuo Wang, Jungseock Joo, Yizhou Wang, Song-Chun Zhu

We evaluate the proposed method by (i) showing the improvement of attribute recognition accuracy; and (ii) comparing the average precision of localizing attributes to the scene parts.

Attribute Weakly-supervised Learning

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