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ORCIDSungjoon Choi
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2020 – today
- 2024
[j17]Jiin Koo, Sungjoon Choi, Sangheum Hwang
:
Generalized Outlier Exposure: Towards a trustworthy out-of-distribution detector without sacrificing accuracy. Neurocomputing 577: 127371 (2024)- [j16]Sangbeom Park, Taerim Yoon, Joonhyung Lee, Sunghyun Park, Sungjoon Choi:
Quality-diversity based semi-autonomous teleoperation using reinforcement learning. Neural Networks 179: 106543 (2024) - [j15]Jeongeun Park, Seungwon Lim, Joonhyung Lee, Sangbeom Park, Minsuk Chang, Youngjae Yu, Sungjoon Choi:
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents. IEEE Robotics Autom. Lett. 9(2): 1059-1066 (2024) - [j14]Taerim Yoon, Yoonbyung Chai, Yeonwoo Jang, Hajun Lee, Junghyo Kim, Jaewoon Kwon, Jiyun Kim, Sungjoon Choi:
Kinematics-Informed Neural Networks: Enhancing Generalization Performance of Soft Robot Model Identification. IEEE Robotics Autom. Lett. 9(4): 3068-3075 (2024) - [j13]Jeongeun Park, Taemoon Jeong, Hyeonseong Kim, Taehyun Byun, Seungyoun Shin, Keunjun Choi, Jaewoon Kwon, Taeyoon Lee, Matthew Pan, Sungjoon Choi:
Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematic (MASK). IEEE Robotics Autom. Lett. 9(10): 8826-8833 (2024) - [c41]Joonhyung Lee, Sangbeom Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi:
SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. ICRA 2024: 17786-17792 - [c40]Jeongeun Park, Jefferson Silveria, Matthew Pan, Sungjoon Choi:
Towards Text-based Human Search and Approach using a Robot Dog. RO-MAN 2024: 317-324 - [i30]Jeongeun Park, Taemoon Jeong, Hyeonseong Kim, Taehyun Byun, Seungyoon Shin, Keunjun Choi, Jaewoon Kwon, Taeyoon Lee, Matthew Pan, Sungjoon Choi:
Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematics (MASK). CoRR abs/2403.10041 (2024) - [i29]Joonhyung Lee, Sangbeom Park, Yongin Kwon, Jemin Lee, Minwook Ahn, Sungjoon Choi:
Visual Preference Inference: An Image Sequence-Based Preference Reasoning in Tabletop Object Manipulation. CoRR abs/2403.11513 (2024) - [i28]Taerim Yoon, Dongho Kang, Seungmin Kim, Minsung Ahn, Stelian Coros, Sungjoon Choi:
Spatio-Temporal Motion Retargeting for Quadruped Robots. CoRR abs/2404.11557 (2024) - 2023
- [j12]Jeongeun Park, Seungyoun Shin, Sangheum Hwang, Sungjoon Choi:
Elucidating robust learning with uncertainty-aware corruption pattern estimation. Pattern Recognit. 138: 109387 (2023) - [c39]Jihoon Kim, Jiseob Kim, Sungjoon Choi:
FLAME: Free-Form Language-Based Motion Synthesis & Editing. AAAI 2023: 8255-8263 - [c38]Seungyoun Shin, Wonho Bae, Junhyug Noh, Sungjoon Choi:
Towards Explainable Computer Vision Methods via Uncertainty Activation Map. ACPR (1) 2023: 1-14 - [c37]Seungyoun Shin, Joonhyung Lee, Junhyug Noh, Sungjoon Choi:
Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator. ACPR (1) 2023: 15-28 - [c36]Jeongeun Park, Taerim Yoon, Jejoon Hong, Youngjae Yu, Matthew Pan, Sungjoon Choi:
Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants. ICRA 2023: 2004-2010 - [c35]Sungbin Lim, Eun-Bi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, Sungjoon Choi:
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces. NeurIPS 2023 - [c34]Sungjoon Choi, Yisoo Lee, KangGeon Kim, Yong Seok Ihn, Jun-Sik Kim, Bum-Jae You:
Flexible Control and Task Manager System for Non-Contact Delivery Robots in COVID-19 Isolated Facilities. RO-MAN 2023: 484-489 - [i27]Jeongeun Park, Jefferson Silveria, Matthew Pan, Sungjoon Choi:
Towards Text-based Human Search and Approach with an Intelligent Robot Dog. CoRR abs/2302.05324 (2023) - [i26]Jeongeun Park, Seungwon Lim, Joonhyung Lee, Sangbeom Park, Minsuk Chang, Youngjae Yu, Sungjoon Choi:
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents. CoRR abs/2306.10376 (2023) - [i25]Joonhyung Lee, Sangbeom Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi:
SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. CoRR abs/2309.13937 (2023) - [i24]Seunggyoon Shin, Seunggyu Chang, Sungjoon Choi:
Past as a Guide: Leveraging Retrospective Learning for Python Code Completion. CoRR abs/2311.07635 (2023) - 2022
- [j11]Jihoon Kim, Taehyun Byun, Seungyoun Shin, Jungdam Won, Sungjoon Choi:
Conditional motion in-betweening. Pattern Recognit. 132: 108894 (2022) - [c33]Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi:
Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills. ICRA 2022: 9295-9301 - [c32]Jeongwoo Oh, Gunmin Lee, Jeongeun Park, Wooseok Oh, Jaeseok Heo, Hojun Chung, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Sungjoon Choi, Songhwai Oh:
Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities. IROS 2022: 12528-12533 - [c31]Min Sung Ahn, Hosik Chae, Colin Togashi, Dennis W. Hong, Joohyung Kim, Sungjoon Choi:
Learning-based Motion Stabilizer Leveraging Offline Temporal Optimization. UR 2022: 129-136 - [i23]Jihoon Kim, Taehyun Byun, Seungyoun Shin, Jungdam Won, Sungjoon Choi:
Conditional Motion In-betweening. CoRR abs/2202.04307 (2022) - [i22]Jihoon Kim, Jiseob Kim, Sungjoon Choi:
FLAME: Free-form Language-based Motion Synthesis & Editing. CoRR abs/2209.00349 (2022) - [i21]Jeongeun Park, Taerim Yoon, Jejoon Hong, Youngjae Yu, Matthew Pan, Sungjoon Choi:
Active Visual Search in the Wild. CoRR abs/2209.08803 (2022) - [i20]Jihoon Kim, Youngjae Yu, Seungyoun Shin, Taehyun Byun, Sungjoon Choi:
Learning Joint Representation of Human Motion and Language. CoRR abs/2210.15187 (2022) - 2021
- [j10]Mauricio Delbracio, Ignacio Garcia-Dorado, Sungjoon Choi, Damien Kelly, Peyman Milanfar:
Polyblur: Removing Mild Blur by Polynomial Reblurring. IEEE Trans. Computational Imaging 7: 837-848 (2021) - [c30]Sungjoon Choi, Min Jae Song, Hyemin Ahn, Joohyung Kim:
Self-Supervised Motion Retargeting with Safety Guarantee. ICRA 2021: 8097-8103 - [i19]Sungjoon Choi, Min Jae Song, Hyemin Ahn, Joohyung Kim:
Self-Supervised Motion Retargeting with Safety Guarantee. CoRR abs/2103.06447 (2021) - [i18]Joanne Taery Kim, Jeongeun Park, Sungjoon Choi, Sehoon Ha:
Learning Robot Structure and Motion Embeddings using Graph Neural Networks. CoRR abs/2109.07543 (2021) - [i17]Jeongwoo Oh, Gunmin Lee, Jeongeun Park, Wooseok Oh, Jaeseok Heo, Hojun Chung, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Sungjoon Choi, Songhwai Oh:
Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities. CoRR abs/2109.07995 (2021) - [i16]Gunmin Lee, Wooseok Oh, Seungyoun Shin, Dohyeong Kim, Jeongwoo Oh, Jaeyeon Jeong, Sungjoon Choi, Songhwai Oh:
Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving. CoRR abs/2109.11280 (2021) - [i15]Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi:
Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation. CoRR abs/2109.13081 (2021) - [i14]Jeongeun Park, Seungyoun Shin, Sangheum Hwang, Sungjoon Choi:
Elucidating Noisy Data via Uncertainty-Aware Robust Learning. CoRR abs/2111.01632 (2021) - 2020
- [j9]Sungjoon Choi, Joohyung Kim:
Cross-Domain Motion Transfer via Safety-Aware Shared Latent Space Modeling. IEEE Robotics Autom. Lett. 5(2): 2634-2641 (2020) - [c29]Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim:
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. CVPR 2020: 3871-3880 - [c28]Matthew K. X. J. Pan, Sungjoon Choi, James Kennedy, Kyna McIntosh, Daniel Campos Zamora, Günter Niemeyer, Joohyung Kim, Alexis Wieland, David L. Christensen:
Realistic and Interactive Robot Gaze. IROS 2020: 11072-11078 - [c27]Sungjoon Choi, Matthew K. X. J. Pan, Joohyung Kim:
Nonparametric Motion Retargeting for Humanoid Robots on Shared Latent Space. Robotics: Science and Systems 2020 - [c26]Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Mineui Hong, Jae In Kim, Yong-Lae Park, Songhwai Oh:
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots. Robotics: Science and Systems 2020 - [i13]Mauricio Delbracio, Ignacio Garcia-Dorado, Sungjoon Choi, Damien Kelly, Peyman Milanfar:
Polyblur: Removing mild blur by polynomial reblurring. CoRR abs/2012.09322 (2020)
2010 – 2019
- 2019
- [j8]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes. IEEE Trans. Robotics 35(3): 564-576 (2019) - [c25]Sungjoon Choi, Joohyung Kim:
Trajectory-based Probabilistic Policy Gradient for Learning Locomotion Behaviors. ICRA 2019: 1-7 - [c24]Sungjoon Choi, Joohyung Kim:
Towards a Natural Motion Generator: a Pipeline to Control a Humanoid based on Motion Data. IROS 2019: 4373-4380 - [i12]Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh:
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. CoRR abs/1902.00137 (2019) - 2018
- [j7]Yoonseon Oh, Sungjoon Choi, Songhwai Oh:
Chance-constrained target tracking using sensors with bounded fan-shaped sensing regions. Auton. Robots 42(2): 307-327 (2018) - [j6]Hyemin Ahn, Yoonseon Oh, Sungjoon Choi, Claire J. Tomlin, Songhwai Oh:
Online Learning to Approach a Person With No Regret. IEEE Robotics Autom. Lett. 3(1): 52-59 (2018) - [j5]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Sparse Markov Decision Processes With Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning. IEEE Robotics Autom. Lett. 3(2): 1466-1473 (2018) - [j4]Hyemin Ahn, Sungjoon Choi, Nuri Kim, Geonho Cha, Songhwai Oh:
Interactive Text2Pickup Networks for Natural Language-Based Human-Robot Collaboration. IEEE Robotics Autom. Lett. 3(4): 3308-3315 (2018) - [j3]Eunwoo Kim, Sungjoon Choi, Songhwai Oh:
Structured Kernel Subspace Learning for Autonomous Robot Navigation. Sensors 18(2): 582 (2018) - [c23]Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh:
Unsupervised Holistic Image Generation from Key Local Patches. ECCV (5) 2018: 21-37 - [c22]Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar:
BLADE: Filter learning for general purpose computational photography. ICCP 2018: 1-11 - [c21]Sungjoon Choi, John Isidoro, Pascal Getreuer, Peyman Milanfar:
Fast, Trainable, Multiscale Denoising. ICIP 2018: 963-967 - [c20]Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh:
Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. ICRA 2018: 6915-6922 - [c19]Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh:
A Nonparametric Motion Flow Model for Human Robot Cooperation. ICRA 2018: 7211-7218 - [c18]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Maximum Causal Tsallis Entropy Imitation Learning. NeurIPS 2018: 4408-4418 - [i11]Sungjoon Choi, John Isidoro, Pascal Getreuer, Peyman Milanfar:
Fast, Trainable, Multiscale Denoising. CoRR abs/1802.06130 (2018) - [i10]Sungjoon Choi, Sanghoon Hong, Sungbin Lim:
ChoiceNet: Robust Learning by Revealing Output Correlations. CoRR abs/1805.06431 (2018) - [i9]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Maximum Causal Tsallis Entropy Imitation Learning. CoRR abs/1805.08336 (2018) - [i8]Hyemin Ahn, Sungjoon Choi, Nuri Kim, Geonho Cha, Songhwai Oh:
Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration. CoRR abs/1805.10799 (2018) - 2017
- [j2]Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh:
Real-time nonparametric reactive navigation of mobile robots in dynamic environments. Robotics Auton. Syst. 91: 11-24 (2017) - [c17]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Scalable robust learning from demonstration with leveraged deep neural networks. IROS 2017: 3926-3931 - [c16]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
A multi-agent coverage algorithm with connectivity maintenance. MFI 2017: 512-517 - [c15]Seunggyu Chang, Sungjoon Choi, Songhwai Oh:
Self-correcting online navigation via leveraged Gaussian processes. URAI 2017: 868-873 - [i7]Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh:
Unsupervised Holistic Image Generation from Key Local Patches. CoRR abs/1703.10730 (2017) - [i6]Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh:
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling. CoRR abs/1709.02249 (2017) - [i5]Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh:
A Nonparametric Motion Flow Model for Human Robot Cooperation. CoRR abs/1709.03211 (2017) - [i4]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning. CoRR abs/1709.06293 (2017) - [i3]Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar:
BLADE: Filter Learning for General Purpose Image Processing. CoRR abs/1711.10700 (2017) - 2016
- [j1]Junghun Suh, Seungil You, Sungjoon Choi, Songhwai Oh:
Vision-Based Coordinated Localization for Mobile Sensor Networks. IEEE Trans Autom. Sci. Eng. 13(2): 611-620 (2016) - [c14]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization. ICRA 2016: 470-475 - [c13]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Gaussian random paths for real-time motion planning. IROS 2016: 1456-1461 - [c12]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Robust modeling and prediction in dynamic environments using recurrent flow networks. IROS 2016: 1737-1742 - [c11]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Inverse reinforcement learning with leveraged Gaussian processes. IROS 2016: 3907-3912 - [i2]Sungjoon Choi, Qian-Yi Zhou, Stephen Miller, Vladlen Koltun:
A Large Dataset of Object Scans. CoRR abs/1602.02481 (2016) - [i1]Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh:
Density Matching Reward Learning. CoRR abs/1608.03694 (2016) - 2015
- [c10]Sungjoon Choi, Qian-Yi Zhou, Vladlen Koltun:
Robust reconstruction of indoor scenes. CVPR 2015: 5556-5565 - [c9]Eunwoo Kim, Sungjoon Choi, Songhwai Oh:
Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation. ICRA 2015: 69-74 - [c8]Yoonseon Oh, Sungjoon Choi, Songhwai Oh:
Chance-constrained target tracking for mobile robots. ICRA 2015: 409-414 - [c7]Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh:
Leveraged non-stationary Gaussian process regression for autonomous robot navigation. ICRA 2015: 473-478 - 2014
- [c6]Sungjoon Choi, Eunwoo Kim, Songhwai Oh:
Real-time navigation in crowded dynamic environments using Gaussian process motion control. ICRA 2014: 3221-3226 - [c5]Eunwoo Kim, Sungjoon Choi, Songhwai Oh:
A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation. IROS 2014: 4396-4401 - 2013
- [c4]Sungjoon Choi, Mahdi Jadaliha, Jongeun Choi, Songhwai Oh:
Distributed Gaussian process regression for mobile sensor networks under localization uncertainty. CDC 2013: 4766-4771 - [c3]Sungjoon Choi, Eunwoo Kim, Songhwai Oh:
Human behavior prediction for smart homes using deep learning. RO-MAN 2013: 173-179 - 2010
- [c2]Jeongkeun Lee, Sung-Ju Lee, Puneet Sharma, Sungjoon Choi:
Understanding the Effectiveness of a Co-Located Wireless Channel Monitoring Surrogate System. ICC 2010: 1-6
2000 – 2009
- 2007
- [c1]Sungjoon Choi, Nakjung Choi, Yongho Seok, Taekyoung Kwon, Yanghee Choi:
Leader-Based Rate Adaptive Multicasting for Wireless LANs. GLOBECOM 2007: 3656-3660
Coauthor Index
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