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Sound-Guided Semantic Image Manipulation

Nov 30, 2021
Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chan Young Kim, Jinkyu Kim, Sangpil Kim

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A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation

Nov 14, 2021
Francis Indaheng, Edward Kim, Kesav Viswanadha, Jay Shenoy, Jinkyu Kim, Daniel J. Fremont, Sanjit A. Seshia

* Accepted to the NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving 

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SelfReg: Self-supervised Contrastive Regularization for Domain Generalization

Apr 20, 2021
Daehee Kim, Seunghyun Park, Jinkyu Kim, Jaekoo Lee

* 14 pages 

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Attentional Bottleneck: Towards an Interpretable Deep Driving Network

May 08, 2020
Jinkyu Kim, Mayank Bansal

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Grounding Human-to-Vehicle Advice for Self-driving Vehicles

Nov 16, 2019
Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John Canny

* IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019 

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HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

Aug 24, 2019
Raehyun Kim, Chan Ho So, Minbyul Jeong, Sanghoon Lee, Jinkyu Kim, Jaewoo Kang

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Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention

Mar 24, 2019
Ye Xia, Jinkyu Kim, John Canny, Karl Zipser, David Whitney

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Predicting Driver Attention in Critical Situations

Aug 16, 2018
Ye Xia, Danqing Zhang, Jinkyu Kim, Ken Nakayama, Karl Zipser, David Whitney

* In this second version, we modified our manuscript to focus on predicting driver attention for critical situations. We added new experiments. The dataset and the model structure stay the same. A technical modification is added to the sampling method that we proposed 

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Textual Explanations for Self-Driving Vehicles

Jul 30, 2018
Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, Zeynep Akata

* European Conference on Computer Vision (ECCV), 2018 
* Accepted to ECCV 2018 

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Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention

Mar 30, 2017
Jinkyu Kim, John Canny

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