Leader-Based Rate Adaptive Multicasting for Wireless LANs. - Sungjoon Choi; Nakjung Choi; Yongho Seok; Taekyoung Kwon 001; Yanghee Choi (GLOBECOM, 2007)

Understanding the Effectiveness of a Co-Located Wireless Channel Monitoring Surrogate System. - Jeongkeun Lee; Sung-Ju Lee; Puneet Sharma; Sungjoon Choi (ICC, 2010)

Distributed Gaussian process regression for mobile sensor networks under localization uncertainty. - Sungjoon Choi; Mahdi Jadaliha; Jongeun Choi; Songhwai Oh (CDC, 2013)

Human behavior prediction for smart homes using deep learning. - Sungjoon Choi; Eunwoo Kim; Songhwai Oh (RO-MAN, 2013)

Real-time navigation in crowded dynamic environments using Gaussian process motion control. - Sungjoon Choi; Eunwoo Kim; Songhwai Oh (ICRA, 2014)

A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation. - Eunwoo Kim; Sungjoon Choi; Songhwai Oh (IROS, 2014)

Robust reconstruction of indoor scenes. - Sungjoon Choi; Qian-Yi Zhou; Vladlen Koltun (CVPR, 2015)

Leveraged non-stationary Gaussian process regression for autonomous robot navigation. - Sungjoon Choi; Eunwoo Kim; Kyungjae Lee 001; Songhwai Oh (ICRA, 2015)

Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation. - Eunwoo Kim; Sungjoon Choi; Songhwai Oh (ICRA, 2015)

Chance-constrained target tracking for mobile robots. - Yoonseon Oh; Sungjoon Choi; Songhwai Oh (ICRA, 2015)

Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (ICRA, 2016)

Gaussian random paths for real-time motion planning. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (IROS, 2016)

Robust modeling and prediction in dynamic environments using recurrent flow networks. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (IROS, 2016)

Inverse reinforcement learning with leveraged Gaussian processes. - Kyungjae Lee 001; Sungjoon Choi; Songhwai Oh (IROS, 2016)

Density Matching Reward Learning. - Sungjoon Choi; Kyungjae Lee 001; Hyungju Andy Park; Songhwai Oh (CoRR, 2016)

A Large Dataset of Object Scans. - Sungjoon Choi; Qian-Yi Zhou; Stephen Miller; Vladlen Koltun (CoRR, 2016)

Vision-Based Coordinated Localization for Mobile Sensor Networks. - Junghun Suh; Seungil You; Sungjoon Choi; Songhwai Oh (IEEE Trans Autom. Sci. Eng., 2016)

Scalable robust learning from demonstration with leveraged deep neural networks. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (IROS, 2017)

A multi-agent coverage algorithm with connectivity maintenance. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (MFI, 2017)

Self-correcting online navigation via leveraged Gaussian processes. - Seunggyu Chang; Sungjoon Choi; Songhwai Oh (URAI, 2017)

BLADE: Filter Learning for General Purpose Image Processing. - Pascal Getreuer; Ignacio Garcia-Dorado; John Isidoro; Sungjoon Choi; Frank Ong; Peyman Milanfar (CoRR, 2017)

Real-time nonparametric reactive navigation of mobile robots in dynamic environments. - Sungjoon Choi; Eunwoo Kim; Kyungjae Lee 001; Songhwai Oh (Robotics Auton. Syst., 2017)

Unsupervised Holistic Image Generation from Key Local Patches. - Donghoon Lee 004; Sangdoo Yun; Sungjoon Choi; Hwiyeon Yoo; Ming-Hsuan Yang 001; Songhwai Oh (ECCV (5), 2018)

BLADE: Filter learning for general purpose computational photography. - Pascal Getreuer; Ignacio Garcia-Dorado; John Isidoro; Sungjoon Choi; Frank Ong; Peyman Milanfar (ICCP, 2018)

Fast, Trainable, Multiscale Denoising. - Sungjoon Choi; John Isidoro; Pascal Getreuer; Peyman Milanfar (ICIP, 2018)

Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. - Sungjoon Choi; Kyungjae Lee 001; Sungbin Lim; Songhwai Oh (ICRA, 2018)

A Nonparametric Motion Flow Model for Human Robot Cooperation. - Sungjoon Choi; Kyungjae Lee 001; Hyungju Andy Park; Songhwai Oh (ICRA, 2018)

Maximum Causal Tsallis Entropy Imitation Learning. - Kyungjae Lee 001; Sungjoon Choi; Songhwai Oh (NeurIPS, 2018)

Chance-constrained target tracking using sensors with bounded fan-shaped sensing regions. - Yoonseon Oh; Sungjoon Choi; Songhwai Oh (Auton. Robots, 2018)

ChoiceNet: Robust Learning by Revealing Output Correlations. - Sungjoon Choi; Sanghoon Hong; Sungbin Lim (CoRR, 2018)

Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration. - Hyemin Ahn 001; Sungjoon Choi; Nuri Kim; Geonho Cha; Songhwai Oh (CoRR, 2018)

Interactive Text2Pickup Networks for Natural Language-Based Human-Robot Collaboration. - Hyemin Ahn 001; Sungjoon Choi; Nuri Kim; Geonho Cha; Songhwai Oh (IEEE Robotics Autom. Lett., 2018)

Online Learning to Approach a Person With No Regret. - Hyemin Ahn 001; Yoonseon Oh; Sungjoon Choi; Claire J. Tomlin; Songhwai Oh (IEEE Robotics Autom. Lett., 2018)

Sparse Markov Decision Processes With Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning. - Kyungjae Lee 001; Sungjoon Choi; Songhwai Oh (IEEE Robotics Autom. Lett., 2018)

Structured Kernel Subspace Learning for Autonomous Robot Navigation. - Eunwoo Kim; Sungjoon Choi; Songhwai Oh (Sensors, 2018)

Trajectory-based Probabilistic Policy Gradient for Learning Locomotion Behaviors. - Sungjoon Choi; Joohyung Kim (ICRA, 2019)

Towards a Natural Motion Generator: a Pipeline to Control a Humanoid based on Motion Data. - Sungjoon Choi; Joohyung Kim (IROS, 2019)

Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. - Kyungjae Lee 001; Sungyub Kim; Sungbin Lim; Sungjoon Choi; Songhwai Oh (CoRR, 2019)

Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (IEEE Trans. Robotics, 2019)

Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. - Sungjoon Choi; Sanghoon Hong; Kyungjae Lee 001; Sungbin Lim (CVPR, 2020)

Realistic and Interactive Robot Gaze. - Matthew K. X. J. Pan; Sungjoon Choi; James Kennedy; Kyna McIntosh; Daniel Campos Zamora; Günter Niemeyer; Joohyung Kim; Alexis Wieland; David L. Christensen (IROS, 2020)

Nonparametric Motion Retargeting for Humanoid Robots on Shared Latent Space. - Sungjoon Choi; Matthew K. X. J. Pan; Joohyung Kim (Robotics: Science and Systems, 2020)

Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots. - Kyungjae Lee 001; Sungyub Kim; Sungbin Lim; Sungjoon Choi; Mineui Hong; Jae In Kim; Yong-Lae Park; Songhwai Oh (Robotics: Science and Systems, 2020)

Cross-Domain Motion Transfer via Safety-Aware Shared Latent Space Modeling. - Sungjoon Choi; Joohyung Kim (IEEE Robotics Autom. Lett., 2020)

Self-Supervised Motion Retargeting with Safety Guarantee. - Sungjoon Choi; Min Jae Song; Hyemin Ahn 001; Joohyung Kim (ICRA, 2021)

Learning Robot Structure and Motion Embeddings using Graph Neural Networks. - Joanne Taery Kim; Jeongeun Park 002; Sungjoon Choi; Sehoon Ha (CoRR, 2021)

Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving. - Gunmin Lee; Wooseok Oh; Seungyoun Shin; Dohyeong Kim; Jeongwoo Oh; Jaeyeon Jeong; Sungjoon Choi; Songhwai Oh (CoRR, 2021)

Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation. - Sangbeom Park; Yoonbyung Chai; Sunghyun Park; Jeongeun Park 002; Kyungjae Lee 001; Sungjoon Choi (CoRR, 2021)

Elucidating Noisy Data via Uncertainty-Aware Robust Learning. - Jeongeun Park 002; Seungyoun Shin; Sangheum Hwang; Sungjoon Choi (CoRR, 2021)

Polyblur: Removing Mild Blur by Polynomial Reblurring. - Mauricio Delbracio; Ignacio Garcia-Dorado; Sungjoon Choi; Damien Kelly; Peyman Milanfar (IEEE Trans. Computational Imaging, 2021)

Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills. - Sangbeom Park; Yoonbyung Chai; Sunghyun Park; Jeongeun Park 002; Kyungjae Lee 001; Sungjoon Choi (ICRA, 2022)

Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities. - Jeongwoo Oh; Gunmin Lee; Jeongeun Park 002; Wooseok Oh; Jaeseok Heo; Hojun Chung; Do Hyung Kim 003; Byungkyu Park; Chang-Gun Lee; Sungjoon Choi; Songhwai Oh (IROS, 2022)

Learning-based Motion Stabilizer Leveraging Offline Temporal Optimization. - Min Sung Ahn; Hosik Chae; Colin Togashi; Dennis W. Hong; Joohyung Kim; Sungjoon Choi (UR, 2022)

Active Visual Search in the Wild. - Jeongeun Park 002; Taerim Yoon; Jejoon Hong; Youngjae Yu; Matthew K. X. J. Pan; Sungjoon Choi (CoRR, 2022)

Learning Joint Representation of Human Motion and Language. - Jihoon Kim; Youngjae Yu; Seungyoun Shin; Taehyun Byun; Sungjoon Choi (CoRR, 2022)

Conditional motion in-betweening. - Jihoon Kim; Taehyun Byun; Seungyoun Shin; Jungdam Won; Sungjoon Choi (Pattern Recognit., 2022)

FLAME: Free-Form Language-Based Motion Synthesis & Editing. - Jihoon Kim; Jiseob Kim; Sungjoon Choi (AAAI, 2023)

Towards Explainable Computer Vision Methods via Uncertainty Activation Map. - Seungyoun Shin; Wonho Bae; Junhyug Noh; Sungjoon Choi (ACPR (1), 2023)

Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator. - Seungyoun Shin; Joonhyung Lee; Junhyug Noh; Sungjoon Choi (ACPR (1), 2023)

Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants. - Jeongeun Park 002; Taerim Yoon; Jejoon Hong; Youngjae Yu; Matthew K. X. J. Pan; Sungjoon Choi (ICRA, 2023)

Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces. - Sungbin Lim; Eun-Bi Yoon; Taehyun Byun; Taewon Kang; Seungwoo Kim; Kyungjae Lee 001; Sungjoon Choi (NeurIPS, 2023)

Flexible Control and Task Manager System for Non-Contact Delivery Robots in COVID-19 Isolated Facilities. - Sungjoon Choi; Yisoo Lee; KangGeon Kim; Yong Seok Ihn; Jun-Sik Kim 001; Bum-Jae You (RO-MAN, 2023)

Towards Text-based Human Search and Approach with an Intelligent Robot Dog. - Jeongeun Park 002; Jefferson Silveria; Matthew K. X. J. Pan; Sungjoon Choi (CoRR, 2023)

Past as a Guide: Leveraging Retrospective Learning for Python Code Completion. - Seunggyoon Shin; Seunggyu Chang; Sungjoon Choi (CoRR, 2023)

Elucidating robust learning with uncertainty-aware corruption pattern estimation. - Jeongeun Park 002; Seungyoun Shin; Sangheum Hwang; Sungjoon Choi (Pattern Recognit., 2023)

Perturbation-driven data augmentation for time series anomaly detection improvement in predictive maintenance. - Hyeyoung Lee; Sangkyun Lee; Sungjoon Choi (IEEE Big Data, 2024)

Generating Realistic Sound with Prosthetic Hand: A Reinforcement Learning Approach. - Taemoon Jeong; Sankalp Yamsani; Jooyoung Hong; Kyungseo Park; Joohyung Kim; Sungjoon Choi (EMBC, 2024)

Towards Natural Prosthetic Hand Gestures: A Common-Rig and Diffusion Inpainting Pipeline. - Seungyup Ka; Taemoon Jeong; Sunwoo Kim; Sankalp Yamsani; Joohyung Kim; Sungjoon Choi (EMBC, 2024)

Walking Speed and Uncertainty Estimation Using Mixture Density Networks for Dynamic Ambulatory Environments. - Jewoo Lee; Bokman Lim; Sungjoon Choi (EMBC, 2024)

Learning Tone: Towards Robotic Xylophone Mastery. - Jiawei Zhang; Taemoon Jeong; Sankalp Yamsani; Sungjoon Choi; Joohyung Kim (Humanoids, 2024)

SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. - Joonhyung Lee; Sangbeom Park; Jeongeun Park 002; Kyungjae Lee 001; Sungjoon Choi (ICRA, 2024)

Visual Preference Inference: An Image Sequence-Based Preference Reasoning in Tabletop Object Manipulation. - Joonhyung Lee; Sangbeom Park; Yongin Kwon; Jemin Lee; Minwook Ahn; Sungjoon Choi (IROS, 2024)

Towards Text-based Human Search and Approach using a Robot Dog. - Jeongeun Park 002; Jefferson Silveria; Matthew K. X. J. Pan; Sungjoon Choi (RO-MAN, 2024)

Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematics (MASK). - Jeongeun Park 002; Taemoon Jeong; Hyeonseong Kim; Taehyun Byun; Seungyoon Shin; Keunjun Choi; Jaewoon Kwon; Taeyoon Lee; Matthew K. X. J. Pan; Sungjoon Choi (CoRR, 2024)

Spatio-Temporal Motion Retargeting for Quadruped Robots. - Taerim Yoon; Dongho Kang; Seungmin Kim; Minsung Ahn; Stelian Coros; Sungjoon Choi (CoRR, 2024)

Versatile Motion Language Models for Multi-Turn Interactive Agents. - Jeongeun Park 002; Sungjoon Choi; Sangdoo Yun (CoRR, 2024)

Generalized Outlier Exposure: Towards a trustworthy out-of-distribution detector without sacrificing accuracy. - Jiin Koo; Sungjoon Choi; Sangheum Hwang (Neurocomputing, 2024)

Quality-diversity based semi-autonomous teleoperation using reinforcement learning. - Sangbeom Park; Taerim Yoon; Joonhyung Lee; Sunghyun Park; Sungjoon Choi (Neural Networks, 2024)

Kinematics-Informed Neural Networks: Enhancing Generalization Performance of Soft Robot Model Identification. - Taerim Yoon; Yoonbyung Chai; Yeonwoo Jang; Hajun Lee; Junghyo Kim; Jaewoon Kwon; Jiyun Kim; Sungjoon Choi (IEEE Robotics Autom. Lett., 2024)

CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents. - Jeongeun Park 002; Seungwon Lim; Joonhyung Lee; Sangbeom Park; Minsuk Chang; Youngjae Yu; Sungjoon Choi (IEEE Robotics Autom. Lett., 2024)

Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematic (MASK). - Jeongeun Park 002; Taemoon Jeong; Hyeonseong Kim; Taehyun Byun; Seungyoun Shin; Keunjun Choi; Jaewoon Kwon; Taeyoon Lee; Matthew K. X. J. Pan; Sungjoon Choi (IEEE Robotics Autom. Lett., 2024)

3D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation. - Gyeongrok Oh; Sungjune Kim; Heeju Ko; Hyung-gun Chi; Jinkyu Kim; Dongwook Lee; Daehyun Ji; Sungjoon Choi; Sujin Jang; Sangpil Kim (CVPR, 2025)

Learning-based Dynamic Robot-to-Human Handover. - Hyeonseong Kim; Chanwoo Kim; Matthew K. X. J. Pan; Kyungjae Lee; Sungjoon Choi (CoRR, 2025)

Learning Steerable Imitation Controllers from Unstructured Animal Motions. - Dongho Kang; Jin Cheng 002; Fatemeh Zargarbashi; Taerim Yoon; Sungjoon Choi; Stelian Coros (CoRR, 2025)