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Journal Articles
- 2024
- [j7]Hyung-Suk Yoon, Ji-Hoon Hwang, Chan Kim, E. In Son, Se-Wook Yoo, Seung-Woo Seo:
Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments. IEEE Robotics Autom. Lett. 9(6): 4902-4909 (2024) - 2023
- [j6]Daeyeon Kim, Yunho Han, Heoncheol Lee, Yunyoung Kim, Hyuck-Hoon Kwon, Chan Kim, Wonseok Choi:
Accelerated Particle Filter With GPU for Real-Time Ballistic Target Tracking. IEEE Access 11: 12139-12149 (2023) - [j5]Jae Jung Urm, Jae Hwan Choi, Chan Kim, Jong Min Lee:
Techno-economic analysis and process optimization of a PET chemical recycling process based on Bayesian optimization. Comput. Chem. Eng. 179: 108451 (2023) - [j4]Se-Wook Yoo, Chan Kim, Jinwoo Choi, Seong-Woo Kim, Seung-Woo Seo:
GIN: Graph-Based Interaction-Aware Constraint Policy Optimization for Autonomous Driving. IEEE Robotics Autom. Lett. 8(2): 464-471 (2023) - 2022
- [j3]Chan Kim, JaeKyung Cho, Hyung-Suk Yoon, Seung-Woo Seo, Seong-Woo Kim:
UNICON: Uncertainty-Conditioned Policy for Robust Behavior in Unfamiliar Scenarios. IEEE Robotics Autom. Lett. 7(4): 9099-9106 (2022) - [j2]Min-Ah Yoon, Chan Kim, Jae-Hyun Kim, Hak-Joo Lee, Kwang-Seop Kim:
Surface Properties of CVD-Grown Graphene Transferred by Wet and Dry Transfer Processes. Sensors 22(10): 3944 (2022) - 2019
- [j1]Tae-Yeon Kim, Chan Kim, Sung-Hyun Kim, Gwang-Pil Jung:
MutBug: A Lightweight and Compact Crawling Robot That Can Run on Both Sides. IEEE Robotics Autom. Lett. 4(2): 1409-1415 (2019)
Conference and Workshop Papers
- 2024
- [c21]Ju-Hyeok Ryu, Chan Kim, Seong-Woo Kim:
Active Automotive Augmented Reality Displays using Reinforcement Learning. ICRA 2024: 5134-5140 - 2023
- [c20]Sang Rak Kim, Chan Kim, Soohyun Shin, Seong-Woo Kim:
Deep Reinforcement Learning for Semi-Active Suspension: A Feasibility Study. ICEIC 2023: 1-5 - [c19]JaeKyung Cho, Chan Kim, Mohamed Khalid M. Jaffar, Michael W. Otte, Seong-Woo Kim:
Low-level controller in response to changes in quadrotor dynamics. ICRA 2023: 5317-5323 - [c18]Chan Kim, JaeKyung Cho, Christophe Bobda, Seung-Woo Seo, Seong-Woo Kim:
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations. IJCAI 2023: 3884-3892 - 2022
- [c17]Jinho Han, Chun-Gi Lyuh, Kyeongsun Shin, Hyun-Mi Kim, Hyunjeong Kwon, Jaehoon Chung, Yong Cheol Peter Cho, Jinkyu Kim, Jeonghui Suk, Chan Kim, Minseok Choi, Youngsu Kwon:
ArtBrain-K: AI Processor based-on 5-PetaFLOPS AI Server System. AICAS 2022: 466-468 - [c16]Chan Kim, JaeKyung Cho, Younghwa Jung, Seung-Woo Seo, Seong-Woo Kim:
Action-Conditioned Traffic Scene Prediction for Interactive Planning. ICEIC 2022: 1-4 - 2021
- [c15]Younghwa Jung, Mingu Jeon, Chan Kim, Seung-Woo Seo, Seong-Woo Kim:
Uncertainty-Aware Fast Curb Detection Using Convolutional Networks in Point Clouds. ICRA 2021: 12882-12888 - [c14]Hyung-Suk Yoon, Chan Kim, Seong-Woo Kim, Seung-Woo Seo:
Self-Balancing Online Dataset for Incremental Driving Intelligence. IROS 2021: 4941-4946 - [c13]Chan Kim, Hyung-Suk Yoon, Seung-Woo Seo, Seong-Woo Kim:
STFP: Simultaneous Traffic Scene Forecasting and Planning for Autonomous Driving. IROS 2021: 6016-6022 - [c12]Hyeji Kim, Jaehoon Chung, Kyoung-Seon Shin, Chun-Gi Lyuh, Hyun-Mi Kim, Chan Kim, Yong Cheol Peter Cho, Jeongmin Yang, Je-Seok Ham, Minseok Choi, Jinho Han, Youngsu Kwon:
Live Demonstration: A Neural Processor for AI Acceleration. ISCAS 2021: 1 - 2019
- [c11]Youngsu Kwon, Jeongmin Yang, Yong Cheol Peter Cho, Kyoung-Seon Shin, Jaehoon Chung, Jinho Han, Chun-Gi Lyuh, Hyun-Mi Kim, Chan Kim, Min-Seok Choi:
Function-Safe Vehicular AI Processor with Nano Core-In-Memory Architecture. AICAS 2019: 127-131 - [c10]Chan Kim, In San Jeon, Young-Su Kwon, Hyun-Mi Kim, Chun-Gi Lyuh, Yong Cheol Peter Cho, Jeongmin Yang, Jaehoon Chung, Kyoung-Seon Shin, Jinho Han, Min-Seok Choi:
Implementation of Yolo-v2 Image Recognition and Other Testbenches for a CNN Accelerator. ICCE-Berlin 2019: 242-247 - [c9]Youngsu Kwon, Yong Cheol Peter Cho, Jeongmin Yang, Jaehoon Chung, Kyoung-Seon Shin, Jinho Han, Chan Kim, Chun-Gi Lyuh, Hyun-Mi Kim, In San Jeon, Min-Seok Choi:
AI 32TFLOPS Autonomous Driving Processor on AI-Ware with Adaptive Power Saving. ISOCC 2019: 174-175 - 2017
- [c8]Chan Kim, Yong Cheol Peter Cho, Youngsu Kwon:
A deep learning convolution architecture for simple embedded applications. ICCE-Berlin 2017: 74-78 - 2015
- [c7]Jae-Jin Lee, Chan Kim, Kyungjin Byun, Nak-Woong Eum:
Virtual prototype based on Aldebarn CPU core. VLSI-SoC 2015: 303-306 - 2013
- [c6]Hong-Chang Shin, Gi Mun Um, Chan Kim, Won-Sik Cheong, Namho Hur:
Depth adjustment of ROI using scalable multiplexing in 3D display. ICCE 2013: 189-190 - 2012
- [c5]Seona Kim, Kyong Joon Lee, Chan Kim, Il Dong Yun, Sang Uk Lee:
A layered inpainting method for virtual view synthesis. SD&A 2012: 82882A - 2007
- [c4]Chan Kim, Tae-Whan Yoo, Bong-Tae Kim:
A Hierarchical Weighted Round Robin EPON DBA Scheme and Its Comparison with Cyclic Water-Filling Algorithm. ICC 2007: 2156-2161 - 2006
- [c3]Chan Kim, Tae-Whan Yoo, Yool Kwon, Bong-Tae Kim:
Design and Implementation of an EPON Master Bridge Function in an ASIC. ISCC 2006: 572-577 - 1997
- [c2]Chan Kim, Yeong Ho Park, Doo Sub Eom, Jae Keun Kim:
A 622 Mbps ATM physical layer ASIC and its "design for test" methods. ISCC 1997: 349-353 - 1995
- [c1]Chan Kim, Jung Hoon Paik:
An implementation of 100 Mbps TAXI subscriber board. LCN 1995: 194-201
Informal and Other Publications
- 2024
- [i5]Donghwi Jung, Chan Kim, Jaekyung Cho, Seong-Woo Kim:
MuNES: Multifloor Navigation Including Elevators and Stairs. CoRR abs/2402.04535 (2024) - [i4]Chan Kim, Keonwoo Kim, Mintaek Oh, Hanbi Baek, Jiyang Lee, Donghwi Jung, Soojin Woo, Younkyung Woo, John Tucker, Roya Firoozi, Seung-Woo Seo, Mac Schwager, Seong-Woo Kim:
E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models. CoRR abs/2409.10027 (2024) - 2023
- [i3]Hwajong Lee, Chan Kim, Seong-Woo Kim:
Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach. CoRR abs/2310.07981 (2023) - [i2]Chan Kim, Jaekyung Cho, Christophe Bobda, Seung-Woo Seo, Seong-Woo Kim:
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations. CoRR abs/2311.03651 (2023) - 2022
- [i1]Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park:
Time Series Forecasting with Hypernetworks Generating Parameters in Advance. CoRR abs/2211.12034 (2022)
Coauthor Index
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last updated on 2024-10-15 20:42 CEST by the dblp team
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