Songhwai Oh

ORCID

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 137

Top Venues

CoRR

IROS

ICRA

IEEE Robotics Autom. Lett.

Publications

Wooseok Oh, Hwiyeon Yoo, Taeoh Ha, Songhwai Oh
Local Selective Vision Transformer for Depth Estimation Using a Compound Eye Camera. Pattern Recognit. Lett. 167 (2023)
Jeongwoo Oh, Jaeseok Heo, Junseo Lee, Gunmin Lee, Minjae Kang, Jeongho Park, Songhwai Oh
SCAN: Socially-Aware Navigation Using Monte Carlo Tree Search. ICRA (2023)
Mineui Hong, Minjae Kang, Songhwai Oh
Diffused Task-Agnostic Milestone Planner. CoRR (2023)
Obin Kwon, Jeongho Park, Songhwai Oh
Renderable Neural Radiance Map for Visual Navigation. CVPR (2023)
Minyoung Hwang, Jaeyeon Jeong, Minsoo Kim, Yoonseon Oh, Songhwai Oh
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding. CVPR (2023)
Minjae Kang, Junseok Kim, Hogun Kee, Songhwai Oh
Object Rearrangement Planning for Target Retrieval in a Confined Space with Lateral View. IROS (2023)
Hogun Kee, Minjae Kang, Dohyeong Kim, Jaegoo Choy, Songhwai Oh
SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects. ICRA (2023)
Dohyeong Kim, Songhwai Oh
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning. CoRR (2023)
Minyoung Hwang, Jaeyeon Jeong, Minsoo Kim, Yoonseon Oh, Songhwai Oh
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding. CoRR (2023)
Mineui Hong, Minjae Kang, Songhwai Oh
Diffused Task-Agnostic Milestone Planner. NeurIPS (2023)
Dohyeong Kim, Kyungjae Lee, Songhwai Oh
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints. NeurIPS (2023)
Obin Kwon, Jeongho Park, Songhwai Oh
Renderable Neural Radiance Map for Visual Navigation. CoRR (2023)
Taeoh Ha, Jeongwoo Oh, Gunmin Lee, Jaeseok Heo, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Songhwai Oh
RIANet++: Road Graph and Image Attention Networks for Robust Urban Autonomous Driving Under Road Changes. IEEE Robotics Autom. Lett. 8 (11) (2023)
Dohyeong Kim, Songhwai Oh
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk. CoRR (2023)
Minyoung Hwang, Gunmin Lee, Hogun Kee, Chan Woo Kim, Kyungjae Lee, Songhwai Oh
Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback. NeurIPS (2023)
Dohyeong Kim, Kyungjae Lee, Songhwai Oh
Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic. CoRR (2023)
Junseo Lee, Jaeseok Heo, Dohyeong Kim, Gunmin Lee, Songhwai Oh
Dual Variable Actor-Critic for Adaptive Safe Reinforcement Learning. IROS (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)
Dohyeong Kim, Songhwai Oh
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value At Risk. IEEE Robotics Autom. Lett. 7 (3) (2022)
Mineui Hong, Kyungjae Lee, Minjae Kang, Wonsuhk Jung, Songhwai Oh
Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning. IEEE Robotics Autom. Lett. 7 (2) (2022)
Dohyeong Kim, Songhwai Oh
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning. IEEE Robotics Autom. Lett. 7 (2) (2022)
Minjae Kang, Hogun Kee, Junseok Kim, Songhwai Oh
Grasp Planning for Occluded Objects in a Confined Space with Lateral View Using Monte Carlo Tree Search. IROS (2022)
Timothy Ha, Jeongwoo Oh, Hojun Chung, Gunmin Lee, Songhwai Oh
RIANet: Road Graph and Image Attention Network for Urban Autonomous Driving. IROS (2022)
Seunggyu Chang, Jungchan Cho, Songhwai Oh
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. CoRR (2022)
Dohyeong Kim, Yunho Kim, Kyungjae Lee, Songhwai Oh
Safety Guided Policy Optimization. IROS (2022)
Jaegoo Choy, Geonho Cha, Songhwai Oh
Unsupervised 3D Link Segmentation of Articulated Objects With a Mixture of Coherent Point Drift. IEEE Robotics Autom. Lett. 7 (3) (2022)
Seunggyu Chang, Jungchan Cho, Songhwai Oh
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. AAAI (2022)
Nuri Kim, Obin Kwon, Hwiyeon Yoo, Yunho Choi, Jeongho Park, Songhwai Oh
Topological Semantic Graph Memory for Image-Goal Navigation. CoRR (2022)
Chanho Ahn, Eunwoo Kim, Songhwai Oh
Incremental Learning With Adaptive Model Search and a Nominal Loss Model. IEEE Access 10 (2022)
Hyemin Ahn, Obin Kwon, Kyungdo Kim, Jaeyeon Jeong, Howoong Jun, Hongjung Lee, Dongheui Lee, Songhwai Oh
Visually Grounding Language Instruction for History-Dependent Manipulation. ICRA (2022)
Minjae Kang, Songhwai Oh
Deep latent-space sequential skill chaining from incomplete demonstrations. Intell. Serv. Robotics 15 (2) (2022)
Nuri Kim, Obin Kwon, Hwiyeon Yoo, Yunho Choi, Jeongho Park, Songhwai Oh
Topological Semantic Graph Memory for Image-Goal Navigation. CoRL (2022)
Dohyeong Kim, Jaeseok Heo, Songhwai Oh
SafeTAC: Safe Tsallis Actor-Critic Reinforcement Learning for Safer Exploration. IROS (2022)
Hwiyeon Yoo, Songhwai Oh
Localizability-based Topological Local Object Occupancy Map for Homing Navigation. UR (2021)
Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh
Reconstruct as Far as You Can: Consensus of Non-Rigid Reconstruction from Feasible Regions. IEEE Trans. Pattern Anal. Mach. Intell. 43 (2) (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)
Obin Kwon, Nuri Kim, Yunho Choi, Hwiyeon Yoo, Jeongho Park, Songhwai Oh
Visual Graph Memory with Unsupervised Representation for Visual Navigation. ICCV (2021)
Yoonseon Oh, Kyunghoon Cho, Yunho Choi, Songhwai Oh
Chance-Constrained Multilayered Sampling-Based Path Planning for Temporal Logic-Based Missions. IEEE Trans. Autom. Control. 66 (12) (2021)
Yunho Choi, Songhwai Oh
Image-Goal Navigation via Keypoint-Based Reinforcement Learning. UR (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)
Eunwoo Kim, Chanho Ahn, Songhwai Oh
Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning. Neurocomputing 442 (2021)
Timothy Ha, Gunmin Lee, Dohyeong Kim, Songhwai Oh
Road Graphical Neural Networks for Autonomous Roundabout Driving. IROS (2021)
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)
Nuri Kim, Donghoon Lee, Songhwai Oh
Learning instance-aware object detection using determinantal point processes. Comput. Vis. Image Underst. 201 (2020)
Timothy Ha, Kyunghoon Cho, Geonho Cha, Kyungjae Lee, Songhwai Oh
Vehicle Control with Prediction Model Based Monte-Carlo Tree Search. UR (2020)
Seunggyu Chang, Chanho Ahn, Minsik Lee, Songhwai Oh
Graph-matching-based correspondence search for nonrigid point cloud registration. Comput. Vis. Image Underst. 192 (2020)
Gunmin Lee, Dohyeong Kim, Wooseok Oh, Kyungjae Lee, Songhwai Oh
MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities. IROS (2020)
Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. CoRR (2020)
Jaegoo Choy, Kyungjae Lee, Songhwai Oh
Sparse Actor-Critic: Sparse Tsallis Entropy Regularized Reinforcement Learning in a Continuous Action Space. UR (2020)
Kyungdo Kim, Yoon Kyung Lee, Hyemin Ahn, Sowon Hahn, Songhwai Oh
Pedestrian Intention Prediction for Autonomous Driving Using a Multiple Stakeholder Perspective Model. IROS (2020)
Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. NeurIPS (2020)
Kyungjae Lee, Jaegu Choy, Yunho Choi, Hogun Kee, Songhwai Oh
No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping. IROS (2020)
Hyemin Ahn, Obin Kwon, Kyoungdo Kim, Dongheui Lee, Songhwai Oh
Visually Grounding Instruction for History-Dependent Manipulation. CoRR (2020)
Eunwoo Kim, Minsik Lee, Songhwai Oh
Nonconvex Sparse Representation With Slowly Vanishing Gradient Regularizers. IEEE Access 8 (2020)
Yunho Choi, Hogun Kee, Kyungjae Lee, Jaegoo Choy, Junhong Min, Sohee Lee, Songhwai Oh
Hierarchical 6-DoF Grasping with Approaching Direction Selection. ICRA (2020)
Kyungjae Lee, Yunho Choi, Songhwai Oh
Inverse Optimal Control from Demonstrations with Mixed Qualities. UR (2020)
Jae In Kim, Mineui Hong, Kyungjae Lee, DongWook Kim, Yong-Lae Park, Songhwai Oh
Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators With Entropy Adaptive Reinforcement Learning. IEEE Robotics Autom. Lett. 5 (2) (2020)
Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. CVPR (2019)
Eunwoo Kim, Minsik Lee, Songhwai Oh
A Scalable Framework for Data-Driven Subspace Representation and Clustering. Pattern Recognit. Lett. 125 (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)
Chanho Ahn, Eunwoo Kim, Songhwai Oh
Deep Elastic Networks With Model Selection for Multi-Task Learning. ICCV (2019)
Hwiyeon Yoo, Geonho Cha, Songhwai Oh
Deep Ego-Motion Classifiers for Compound Eye Cameras. Sensors 19 (23) (2019)
Kyunghoon Cho, Timothy Ha, Gunmin Lee, Songhwai Oh
Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules. IROS (2019)
Chanho Ahn, Eunwoo Kim, Songhwai Oh
Deep Elastic Networks with Model Selection for Multi-Task Learning. CoRR (2019)
Hyemin Ahn, Jaehun Kim, Kihyun Kim, Songhwai Oh
Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music. CoRR (2019)
Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh
Deep pose consensus networks. Comput. Vis. Image Underst. 182 (2019)
Yunho Choi, Kyungjae Lee, Songhwai Oh
Distributional Deep Reinforcement Learning with a Mixture of Gaussians. ICRA (2019)
Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. CoRR (2019)
Geonho Cha, Minsik Lee, Songhwai Oh
Unsupervised 3D Reconstruction Networks. ICCV (2019)
Minjae Kang, Kyungjae Lee, Songhwai Oh
Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space. IROS (2019)
Donghoon Lee, Ming-Hsuan Yang, Songhwai Oh
Head and Body Orientation Estimation Using Convolutional Random Projection Forests. IEEE Trans. Pattern Anal. Mach. Intell. 41 (1) (2019)
Nuri Kim, Donghoon Lee, Songhwai Oh
Learning Instance-Aware Object Detection Using Determinantal Point Processes. CoRR (2018)
Donghoon Lee, Ming-Hsuan Yang, Songhwai Oh
Generative Single Image Reflection Separation. CoRR (2018)
Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh
Non-rigid surface recovery with a robust local-rigidity prior. Pattern Recognit. Lett. 110 (2018)
Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh
Deep Pose Consensus Networks. 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)
Kyunghoon Cho, Songhwai Oh
Learning-Based Model Predictive Control Under Signal Temporal Logic Specifications. ICRA (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)
Yoonseon Oh, Kyunghoon Cho, Songhwai Oh
Robust Multi-Objective Path Planning for Flying Robots under Wind Disturbance. UR (2018)
Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, Songhwai Oh
Text2Action: Generative Adversarial Synthesis from Language to Action. ICRA (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)
Moonsub Byeon, Haan-Ju Yoo, Kikyung Kim, Songhwai Oh, Jin Young Choi
Unified optimization framework for localization and tracking of multiple targets with multiple cameras. Comput. Vis. Image Underst. 166 (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)
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Maximum Causal Tsallis Entropy Imitation Learning. CoRR (2018)
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Maximum Causal Tsallis Entropy Imitation Learning. NeurIPS (2018)
Eunwoo Kim, Chanho Ahn, Songhwai Oh
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks. CVPR (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)
Junghun Suh, Joonsig Gong, Songhwai Oh
Fast Sampling-Based Cost-Aware Path Planning With Nonmyopic Extensions Using Cross Entropy. IEEE Trans. Robotics 33 (6) (2017)
Kyunghoon Cho, Yunho Choi, Songhwai Oh
Reactive controller synthesis for UAV mission planning. URAI (2017)

Songhwai Oh.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Songhwai Oh