Jinkyu Kim
Jinkyu Kim
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Interpretable learning for self-driving cars by visualizing causal attention
J Kim, J Canny
Proceedings of the IEEE international conference on computer vision, 2942-2950, 2017
RNA design rules from a massive open laboratory
J Lee, W Kladwang, M Lee, D Cantu, M Azizyan, H Kim, A Limpaecher, ...
Proceedings of the National Academy of Sciences 111 (6), 2122-2127, 2014
Textual explanations for self-driving vehicles
J Kim, A Rohrbach, T Darrell, J Canny, Z Akata
Proceedings of the European conference on computer vision (ECCV), 563-578, 2018
Selfreg: Self-supervised contrastive regularization for domain generalization
D Kim, Y Yoo, S Park, J Kim, J Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Predicting driver attention in critical situations
Y Xia, D Zhang, J Kim, K Nakayama, K Zipser, D Whitney
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
HiTRACE: high-throughput robust analysis for capillary electrophoresis
S Yoon, J Kim, J Hum, H Kim, S Park, W Kladwang, R Das
Bioinformatics 27 (13), 1798-1805, 2011
Grounding human-to-vehicle advice for self-driving vehicles
J Kim, T Misu, YT Chen, A Tawari, J Canny
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Occupancy flow fields for motion forecasting in autonomous driving
R Mahjourian, J Kim, Y Chai, M Tan, B Sapp, D Anguelov
IEEE Robotics and Automation Letters 7 (2), 5639-5646, 2022
Periphery-fovea multi-resolution driving model guided by human attention
Y Xia, J Kim, J Canny, K Zipser, T Canas-Bajo, D Whitney
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
Advisable learning for self-driving vehicles by internalizing observation-to-action rules
J Kim, S Moon, A Rohrbach, T Darrell, J Canny
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Sound-guided semantic image manipulation
SH Lee, W Roh, W Byeon, SH Yoon, C Kim, J Kim, S Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Entropy-based analysis and bioinformatics-inspired integration of global economic information transfer
J Kim, G Kim, S An, YK Kwon, S Yoon
PloS one 8 (1), e51986, 2013
Deep traffic light detection for self-driving cars from a large-scale dataset
J Kim, H Cho, M Hwangbo, J Choi, J Canny, YP Kwon
2018 21st International Conference on Intelligent Transportation Systems …, 2018
Collaborative analytics for data silos
J Kim, H Ha, BG Chun, S Yoon, SK Cha
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 743-754, 2016
A robust peak detection method for RNA structure inference by high-throughput contact mapping
J Kim, S Yu, B Shim, H Kim, H Min, EY Chung, R Das, S Yoon
Bioinformatics 25 (9), 1137-1144, 2009
Grounding visual representations with texts for domain generalization
S Min, N Park, S Kim, S Park, J Kim
European Conference on Computer Vision, 37-53, 2022
Toward explainable and advisable model for self‐driving cars
J Kim, A Rohrbach, Z Akata, S Moon, T Misu, YT Chen, T Darrell, J Canny
Applied AI Letters 2 (4), e56, 2021
Stopnet: Scalable trajectory and occupancy prediction for urban autonomous driving
J Kim, R Mahjourian, S Ettinger, M Bansal, B White, B Sapp, D Anguelov
2022 International Conference on Robotics and Automation (ICRA), 8957-8963, 2022
Sound-guided semantic video generation
SH Lee, G Oh, W Byeon, C Kim, WJ Ryoo, SH Yoon, H Cho, J Bae, J Kim, ...
European Conference on Computer Vision, 34-50, 2022
Attentional bottleneck: Towards an interpretable deep driving network
J Kim, M Bansal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
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