Sungjoon Choi

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 76

Top Topics

Autonomous Robot Navigation

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

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 (2024)
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 (2024)
Jiin Koo, Sungjoon Choi, Sangheum Hwang
Generalized Outlier Exposure: Towards a trustworthy out-of-distribution detector without sacrificing accuracy. Neurocomputing 577 (2024)
Taerim Yoon, Dongho Kang, Seungmin Kim, Minsung Ahn, Stelian Coros, Sungjoon Choi
Spatio-Temporal Motion Retargeting for Quadruped Robots. CoRR (2024)
Sangbeom Park, Taerim Yoon, Joonhyung Lee, Sunghyun Park, Sungjoon Choi
Quality-diversity based semi-autonomous teleoperation using reinforcement learning. Neural Networks 179 (2024)
Joonhyung Lee, Sangbeom Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi
SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. ICRA (2024)
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) (2024)
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) (2024)
Seungyoun Shin, Wonho Bae, Junhyug Noh, Sungjoon Choi
Towards Explainable Computer Vision Methods via Uncertainty Activation Map. ACPR (1) (2023)
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)
Seungyoun Shin, Joonhyung Lee, Junhyug Noh, Sungjoon Choi
Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator. ACPR (1) (2023)
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)
Jeongeun Park, Jefferson Silveria, Matthew Pan, Sungjoon Choi
Towards Text-based Human Search and Approach with an Intelligent Robot Dog. CoRR (2023)
Joonhyung Lee, Sangbeom Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi
SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. CoRR (2023)
Jeongeun Park, Seungwon Lim, Joonhyung Lee, Sangbeom Park, Youngjae Yu, Sungjoon Choi
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents. CoRR (2023)
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)
Jeongeun Park, Seungyoun Shin, Sangheum Hwang, Sungjoon Choi
Elucidating robust learning with uncertainty-aware corruption pattern estimation. Pattern Recognit. 138 (2023)
Jihoon Kim, Jiseob Kim, Sungjoon Choi
FLAME: Free-Form Language-Based Motion Synthesis & Editing. AAAI (2023)
Seunggyoon Shin, Seunggyu Chang, Sungjoon Choi
Past as a Guide: Leveraging Retrospective Learning for Python Code Completion. CoRR (2023)
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)
Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi
Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills. ICRA (2022)
Jihoon Kim, Youngjae Yu, Seungyoun Shin, Taehyun Byun, Sungjoon Choi
Learning Joint Representation of Human Motion and Language. CoRR (2022)
Jihoon Kim, Taehyun Byun, Seungyoun Shin, Jungdam Won, Sungjoon Choi
Conditional motion in-betweening. Pattern Recognit. 132 (2022)
Jeongeun Park, Taerim Yoon, Jejoon Hong, Youngjae Yu, Matthew Pan, Sungjoon Choi
Active Visual Search in the Wild. CoRR (2022)
Jihoon Kim, Taehyun Byun, Seungyoun Shin, Jungdam Won, Sungjoon Choi
Conditional Motion In-betweening. CoRR (2022)
Min Sung Ahn, Hosik Chae, Colin Togashi, Dennis W. Hong, Joohyung Kim, Sungjoon Choi
Learning-based Motion Stabilizer Leveraging Offline Temporal Optimization. UR (2022)
Jihoon Kim, Jiseob Kim, Sungjoon Choi
FLAME: Free-form Language-based Motion Synthesis & Editing. CoRR (2022)
Sungjoon Choi, Min Jae Song, Hyemin Ahn, Joohyung Kim
Self-Supervised Motion Retargeting with Safety Guarantee. CoRR (2021)
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 (2021)
Mauricio Delbracio, Ignacio Garcia-Dorado, Sungjoon Choi, Damien Kelly, Peyman Milanfar
Polyblur: Removing Mild Blur by Polynomial Reblurring. IEEE Trans. Computational Imaging 7 (2021)
Jeongeun Park, Seungyoun Shin, Sangheum Hwang, Sungjoon Choi
Elucidating Noisy Data via Uncertainty-Aware Robust Learning. CoRR (2021)
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 (2021)
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 (2021)
Sungjoon Choi, Min Jae Song, Hyemin Ahn, Joohyung Kim
Self-Supervised Motion Retargeting with Safety Guarantee. ICRA (2021)
Joanne Taery Kim, Jeongeun Park, Sungjoon Choi, Sehoon Ha
Learning Robot Structure and Motion Embeddings using Graph Neural Networks. CoRR (2021)
Sungjoon Choi, Matthew K. X. J. Pan, Joohyung Kim
Nonparametric Motion Retargeting for Humanoid Robots on Shared Latent Space. Robotics: Science and Systems (2020)
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)
Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. CVPR (2020)
Mauricio Delbracio, Ignacio Garcia-Dorado, Sungjoon Choi, Damien Kelly, Peyman Milanfar
Polyblur: Removing mild blur by polynomial reblurring. CoRR (2020)
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)
Sungjoon Choi, Joohyung Kim
Cross-Domain Motion Transfer via Safety-Aware Shared Latent Space Modeling. IEEE Robotics Autom. Lett. 5 (2) (2020)
Sungjoon Choi, Joohyung Kim
Trajectory-based Probabilistic Policy Gradient for Learning Locomotion Behaviors. ICRA (2019)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes. IEEE Trans. Robotics 35 (3) (2019)
Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. CoRR (2019)
Sungjoon Choi, Joohyung Kim
Towards a Natural Motion Generator: a Pipeline to Control a Humanoid based on Motion Data. IROS (2019)
Sungjoon Choi, Sanghoon Hong, Sungbin Lim
ChoiceNet: Robust Learning by Revealing Output Correlations. CoRR (2018)
Eunwoo Kim, Sungjoon Choi, Songhwai Oh
Structured Kernel Subspace Learning for Autonomous Robot Navigation. Sensors 18 (2) (2018)
Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh
Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. ICRA (2018)
Yoonseon Oh, Sungjoon Choi, Songhwai Oh
Chance-constrained target tracking using sensors with bounded fan-shaped sensing regions. Auton. Robots 42 (2) (2018)
Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh
Unsupervised Holistic Image Generation from Key Local Patches. ECCV (5) (2018)
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) (2018)
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) (2018)
Hyemin Ahn, Sungjoon Choi, Nuri Kim, Geonho Cha, Songhwai Oh
Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration. CoRR (2018)
Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh
A Nonparametric Motion Flow Model for Human Robot Cooperation. ICRA (2018)
Sungjoon Choi, John Isidoro, Pascal Getreuer, Peyman Milanfar
Fast, Trainable, Multiscale Denoising. ICIP (2018)
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) (2018)
Sungjoon Choi, John Isidoro, Pascal Getreuer, Peyman Milanfar
Fast, Trainable, Multiscale Denoising. CoRR (2018)
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Maximum Causal Tsallis Entropy Imitation Learning. CoRR (2018)
Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar
BLADE: Filter learning for general purpose computational photography. ICCP (2018)
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Maximum Causal Tsallis Entropy Imitation Learning. NeurIPS (2018)
Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh
A Nonparametric Motion Flow Model for Human Robot Cooperation. CoRR (2017)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
Scalable robust learning from demonstration with leveraged deep neural networks. IROS (2017)
Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh
Unsupervised Holistic Image Generation from Key Local Patches. CoRR (2017)
Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling. CoRR (2017)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
A multi-agent coverage algorithm with connectivity maintenance. MFI (2017)
Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh
Real-time nonparametric reactive navigation of mobile robots in dynamic environments. Robotics Auton. Syst. 91 (2017)
Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar
BLADE: Filter Learning for General Purpose Image Processing. CoRR (2017)
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning. CoRR (2017)
Seunggyu Chang, Sungjoon Choi, Songhwai Oh
Self-correcting online navigation via leveraged Gaussian processes. URAI (2017)
Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh
Density Matching Reward Learning. CoRR (2016)
Sungjoon Choi, Qian-Yi Zhou, Stephen Miller, Vladlen Koltun
A Large Dataset of Object Scans. CoRR (2016)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization. ICRA (2016)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
Gaussian random paths for real-time motion planning. IROS (2016)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
Robust modeling and prediction in dynamic environments using recurrent flow networks. IROS (2016)
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Inverse reinforcement learning with leveraged Gaussian processes. IROS (2016)
Junghun Suh, Seungil You, Sungjoon Choi, Songhwai Oh
Vision-Based Coordinated Localization for Mobile Sensor Networks. IEEE Trans Autom. Sci. Eng. 13 (2) (2016)
Sungjoon Choi, Qian-Yi Zhou, Vladlen Koltun
Robust reconstruction of indoor scenes. CVPR (2015)
Yoonseon Oh, Sungjoon Choi, Songhwai Oh
Chance-constrained target tracking for mobile robots. ICRA (2015)
Eunwoo Kim, Sungjoon Choi, Songhwai Oh
Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation. ICRA (2015)
Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh
Leveraged non-stationary Gaussian process regression for autonomous robot navigation. ICRA (2015)
Eunwoo Kim, Sungjoon Choi, Songhwai Oh
A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation. IROS (2014)
Sungjoon Choi, Eunwoo Kim, Songhwai Oh
Real-time navigation in crowded dynamic environments using Gaussian process motion control. ICRA (2014)
Sungjoon Choi, Eunwoo Kim, Songhwai Oh
Human behavior prediction for smart homes using deep learning. RO-MAN (2013)
Sungjoon Choi, Mahdi Jadaliha, Jongeun Choi, Songhwai Oh
Distributed Gaussian process regression for mobile sensor networks under localization uncertainty. CDC (2013)
Jeongkeun Lee, Sung-Ju Lee, Puneet Sharma, Sungjoon Choi
Understanding the Effectiveness of a Co-Located Wireless Channel Monitoring Surrogate System. ICC (2010)
Sungjoon Choi, Nakjung Choi, Yongho Seok, Taekyoung Kwon, Yanghee Choi
Leader-Based Rate Adaptive Multicasting for Wireless LANs. GLOBECOM (2007)