Jinkyu Kim

Assistant Professor

Computer Science and Engineering

Dept. of Data Science (affiliated)

School of Smart Mobility (affiliated)

Korea Robot Manufacturing (Board Member)

Biography

Jinkyu Kim is an Assistant Professor of the Department of Computer Science and Engineering at Korea University. He was a research scientist at Waymo (formerly the Google’s self-driving car project), conducting cutting edge research to develop new solutions related to autonomous driving, in particular, to solve outstanding challenges in planning and behavior prediction. He received his Ph.D. in Computer Science from UC Berkeley (advisor: Prof. John Canny) and was part of Berkeley AI Research (BAIR) and Berkeley DeepDrive (BDD). He researched to build explainable and advisable models that can explain their rationale, characterize their strengths and weaknesses, and convey an understanding of how they will behave in the future. Currently, He is interested in (1) Image, Text, Sound Multi-modal Representation Learning, (2) Machine Learning for Self-driving Vehicles at Scale, (3) Continual and Life-long Learning, (4)Domain Adaptation and Generalization.

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Interests

Image, Text, Sound Multi-modal Representation Learning
Machine Learning for Self-driving Vehicles at Scale
Continual and Life-long Learning
Domain Adaptation and Generalization

Education

PhD in CS, 2019

Univ. of California, Berkeley
MS in ECE, 2010

Korea University
BS in EE, 2008

Korea University

Recent Publications

Nokyung Park, Daewon Chae, Jeongyong Shim, Sangpil Kim, Eun-sol Kim, Jinkyu Kim (2024). Bridging the Domain Gap by Clustering-based Image-Text Graph Matching. In ArXiv.

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Seokha Moon, Hongbeen Park, Jungphil Kwon, Jaekoo Lee, Jinkyu Kim (2024). Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection. In ArXiv.

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Seung Hyun Lee, Hyung-gun Chi, Gyeongrok Oh, Wonmin Byeon, Sang Ho Yoon, Hyunje Park, Wonjun Cho, Jinkyu Kim, Sangpil Kim (2024). Robust Sound-guided Image Manipulation. In Neural Networks.

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Jinbae Im, Jeongyeon Nam, Nokyung Park, Hyungmin Lee, Seunghyun Park (2024). EGTR: Extracting Graph from Transformer for Scene Graph Generation. In CVPR2024.

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Sungjune Kim, Hyung-gun Chi, Hyerin Lim, Karthik Ramani, Jinkyu Kim, Sangpil Kim (2024). Higher-order Relational Reasoning for Pedestrian Trajectory Prediction. In CVPR2024.

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Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R. Mortensen (2024). Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding. In ArXiv.

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Gyusam Chang, Wonseok Roh, Sujin Jang, Dongwook Lee, Daehyun Ji, Gyeongrok Oh, Jinsun Park, Jinkyu Kim, Sangpil Kim (2024). CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-based 3D Object Detection. In AAAI2024.

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Daewon Chae, Nokyung Park, Jinkyu Kim, Kimin Lee (2024). InstructBooth: Instruction-following Personalized Text-to-Image Generation. In ArXiv.

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Mincheol Chang, Seokha Moon, Reza Mahjourian, Jinkyu Kim (2024). BEVMap: Map-Aware BEV Modeling for 3D Perception. In WACV2024.

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Seongbeom Park, Suhong Moon, Seunghyun Park, Jinkyu Kim (2024). Localization and Manipulation of Immoral Visual Cues for Safe Text-to-Image Generation. In WACV2024.

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