default search action
Songhwai Oh
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j56]Nuri Kim, Jeongho Park, Mineui Hong, Songhwai Oh:
Semantic Environment Atlas for Object-Goal Navigation. Knowl. Based Syst. 304: 112446 (2024) - [j55]Hwiyeon Yoo, Yunho Choi, Jeongho Park, Songhwai Oh:
Commonsense-Aware Object Value Graph for Object Goal Navigation. IEEE Robotics Autom. Lett. 9(5): 4423-4430 (2024) - [c112]Obin Kwon, Dongki Jung, Youngji Kim, Soohyun Ryu, Suyong Yeon, Songhwai Oh, Donghwan Lee:
WayIL: Image-based Indoor Localization with Wayfinding Maps. ICRA 2024: 6274-6281 - [c111]Hojun Chung, Jeongwoo Oh, Jaeseok Heo, Gunmin Lee, Songhwai Oh:
MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity. ICRA 2024: 15233-15239 - [i32]Dohyeong Kim, Mineui Hong, Jeongho Park, Songhwai Oh:
Scale-Invariant Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning. CoRR abs/2403.00282 (2024) - [i31]Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh:
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees. CoRR abs/2405.18698 (2024) - [i30]Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh:
Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards. CoRR abs/2407.02245 (2024) - [i29]Dohyeong Kim, Hyeokjin Kwon, Junseok Kim, Gunmin Lee, Songhwai Oh:
Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach. CoRR abs/2409.15755 (2024) - 2023
- [j54]Wooseok Oh, Hwiyeon Yoo, Taeoh Ha, Songhwai Oh:
Local Selective Vision Transformer for Depth Estimation Using a Compound Eye Camera. Pattern Recognit. Lett. 167: 82-89 (2023) - [j53]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): 7815-7822 (2023) - [c110]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: 6683-6693 - [c109]Obin Kwon, Jeongho Park, Songhwai Oh:
Renderable Neural Radiance Map for Visual Navigation. CVPR 2023: 9099-9108 - [c108]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: 7576-7582 - [c107]Hogun Kee, Minjae Kang, Dohyeong Kim, Jaegoo Choy, Songhwai Oh:
SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects. ICRA 2023: 8054-8060 - [c106]Minjae Kang, Junseok Kim, Hogun Kee, Songhwai Oh:
Object Rearrangement Planning for Target Retrieval in a Confined Space with Lateral View. IROS 2023: 2004-2009 - [c105]Junseo Lee, Jaeseok Heo, Dohyeong Kim, Gunmin Lee, Songhwai Oh:
Dual Variable Actor-Critic for Adaptive Safe Reinforcement Learning. IROS 2023: 7568-7573 - [c104]Mineui Hong, Minjae Kang, Songhwai Oh:
Diffused Task-Agnostic Milestone Planner. NeurIPS 2023 - [c103]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 - [c102]Dohyeong Kim, Kyungjae Lee, Songhwai Oh:
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints. NeurIPS 2023 - [i28]Dohyeong Kim, Kyungjae Lee, Songhwai Oh:
Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic. CoRR abs/2301.10923 (2023) - [i27]Obin Kwon, Jeongho Park, Songhwai Oh:
Renderable Neural Radiance Map for Visual Navigation. CoRR abs/2303.00304 (2023) - [i26]Minyoung Hwang, Jaeyeon Jeong, Minsoo Kim, Yoonseon Oh, Songhwai Oh:
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding. CoRR abs/2303.04077 (2023) - [i25]Dohyeong Kim, Songhwai Oh:
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk. CoRR abs/2312.00342 (2023) - [i24]Dohyeong Kim, Songhwai Oh:
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning. CoRR abs/2312.00344 (2023) - [i23]Mineui Hong, Minjae Kang, Songhwai Oh:
Diffused Task-Agnostic Milestone Planner. CoRR abs/2312.03395 (2023) - 2022
- [j52]Chanho Ahn, Eunwoo Kim, Songhwai Oh:
Incremental Learning With Adaptive Model Search and a Nominal Loss Model. IEEE Access 10: 16052-16062 (2022) - [j51]Minjae Kang, Songhwai Oh:
Deep latent-space sequential skill chaining from incomplete demonstrations. Intell. Serv. Robotics 15(2): 203-213 (2022) - [j50]Dohyeong Kim, Songhwai Oh:
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning. IEEE Robotics Autom. Lett. 7(2): 2621-2628 (2022) - [j49]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): 3388-3395 (2022) - [j48]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): 7124-7131 (2022) - [j47]Dohyeong Kim, Songhwai Oh:
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value At Risk. IEEE Robotics Autom. Lett. 7(3): 7644-7651 (2022) - [c101]Seunggyu Chang, Jungchan Cho, Songhwai Oh:
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. AAAI 2022: 203-211 - [c100]Nuri Kim, Obin Kwon, Hwiyeon Yoo, Yunho Choi, Jeongho Park, Songhwai Oh:
Topological Semantic Graph Memory for Image-Goal Navigation. CoRL 2022: 393-402 - [c99]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: 675-682 - [c98]Dohyeong Kim, Yunho Kim, Kyungjae Lee, Songhwai Oh:
Safety Guided Policy Optimization. IROS 2022: 2462-2467 - [c97]Dohyeong Kim, Jaeseok Heo, Songhwai Oh:
SafeTAC: Safe Tsallis Actor-Critic Reinforcement Learning for Safer Exploration. IROS 2022: 4070-4075 - [c96]Timothy Ha, Jeongwoo Oh, Hojun Chung, Gunmin Lee, Songhwai Oh:
RIANet: Road Graph and Image Attention Network for Urban Autonomous Driving. IROS 2022: 4805-4810 - [c95]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: 10921-10926 - [c94]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 - [i22]Seunggyu Chang, Jungchan Cho, Songhwai Oh:
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. CoRR abs/2203.06901 (2022) - [i21]Nuri Kim, Obin Kwon, Hwiyeon Yoo, Yunho Choi, Jeongho Park, Songhwai Oh:
Topological Semantic Graph Memory for Image-Goal Navigation. CoRR abs/2209.08274 (2022) - 2021
- [j46]Eunwoo Kim, Chanho Ahn, Songhwai Oh:
Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning. Neurocomputing 442: 116-124 (2021) - [j45]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): 623-637 (2021) - [j44]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): 5816-5829 (2021) - [c93]Obin Kwon, Nuri Kim, Yunho Choi, Hwiyeon Yoo, Jeongho Park, Songhwai Oh:
Visual Graph Memory with Unsupervised Representation for Visual Navigation. ICCV 2021: 15870-15879 - [c92]Timothy Ha, Gunmin Lee, Dohyeong Kim, Songhwai Oh:
Road Graphical Neural Networks for Autonomous Roundabout Driving. IROS 2021: 162-167 - [c91]Yunho Choi, Songhwai Oh:
Image-Goal Navigation via Keypoint-Based Reinforcement Learning. UR 2021: 18-21 - [c90]Hwiyeon Yoo, Songhwai Oh:
Localizability-based Topological Local Object Occupancy Map for Homing Navigation. UR 2021: 22-25 - [i20]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) - [i19]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) - 2020
- [j43]Eunwoo Kim, Minsik Lee, Songhwai Oh:
Nonconvex Sparse Representation With Slowly Vanishing Gradient Regularizers. IEEE Access 8: 132489-132501 (2020) - [j42]Seunggyu Chang, Chanho Ahn, Minsik Lee, Songhwai Oh:
Graph-matching-based correspondence search for nonrigid point cloud registration. Comput. Vis. Image Underst. 192: 102899 (2020) - [j41]Nuri Kim, Donghoon Lee, Songhwai Oh:
Learning instance-aware object detection using determinantal point processes. Comput. Vis. Image Underst. 201: 103061 (2020) - [j40]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): 2317-2324 (2020) - [c89]Yunho Choi, Hogun Kee, Kyungjae Lee, Jaegoo Choy, Junhong Min, Sohee Lee, Songhwai Oh:
Hierarchical 6-DoF Grasping with Approaching Direction Selection. ICRA 2020: 1553-1559 - [c88]Gunmin Lee, Dohyeong Kim, Wooseok Oh, Kyungjae Lee, Songhwai Oh:
MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities. IROS 2020: 5425-5430 - [c87]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: 7957-7962 - [c86]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: 9620-9625 - [c85]Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh:
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. NeurIPS 2020 - [c84]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 - [c83]Jaegoo Choy, Kyungjae Lee, Songhwai Oh:
Sparse Actor-Critic: Sparse Tsallis Entropy Regularized Reinforcement Learning in a Continuous Action Space. UR 2020: 68-73 - [c82]Timothy Ha, Kyunghoon Cho, Geonho Cha, Kyungjae Lee, Songhwai Oh:
Vehicle Control with Prediction Model Based Monte-Carlo Tree Search. UR 2020: 303-308 - [c81]Kyungjae Lee, Yunho Choi, Songhwai Oh:
Inverse Optimal Control from Demonstrations with Mixed Qualities. UR 2020: 581-586 - [i18]Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh:
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. CoRR abs/2010.12866 (2020) - [i17]Hyemin Ahn, Obin Kwon, Kyoungdo Kim, Dongheui Lee, Songhwai Oh:
Visually Grounding Instruction for History-Dependent Manipulation. CoRR abs/2012.08977 (2020)
2010 – 2019
- 2019
- [j39]Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh:
Deep pose consensus networks. Comput. Vis. Image Underst. 182: 64-70 (2019) - [j38]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): 107-120 (2019) - [j37]Eunwoo Kim, Minsik Lee, Songhwai Oh:
A Scalable Framework for Data-Driven Subspace Representation and Clustering. Pattern Recognit. Lett. 125: 742-749 (2019) - [j36]Hwiyeon Yoo, Geonho Cha, Songhwai Oh:
Deep Ego-Motion Classifiers for Compound Eye Cameras. Sensors 19(23): 5275 (2019) - [j35]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) - [c80]Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh:
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. CVPR 2019: 2710-2719 - [c79]Geonho Cha, Minsik Lee, Songhwai Oh:
Unsupervised 3D Reconstruction Networks. ICCV 2019: 3848-3857 - [c78]Chanho Ahn, Eunwoo Kim, Songhwai Oh:
Deep Elastic Networks With Model Selection for Multi-Task Learning. ICCV 2019: 6528-6537 - [c77]Yunho Choi, Kyungjae Lee, Songhwai Oh:
Distributional Deep Reinforcement Learning with a Mixture of Gaussians. ICRA 2019: 9791-9797 - [c76]Kyunghoon Cho, Timothy Ha, Gunmin Lee, Songhwai Oh:
Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules. IROS 2019: 2076-2081 - [c75]Minjae Kang, Kyungjae Lee, Songhwai Oh:
Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space. IROS 2019: 5028-5033 - [i16]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) - [i15]Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh:
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. CoRR abs/1904.04562 (2019) - [i14]Chanho Ahn, Eunwoo Kim, Songhwai Oh:
Deep Elastic Networks with Model Selection for Multi-Task Learning. CoRR abs/1909.04860 (2019) - [i13]Hyemin Ahn, Jaehun Kim, Kihyun Kim, Songhwai Oh:
Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music. CoRR abs/1911.04069 (2019) - 2018
- [j34]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) - [j33]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: 51-65 (2018) - [j32]Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh:
Non-rigid surface recovery with a robust local-rigidity prior. Pattern Recognit. Lett. 110: 51-57 (2018) - [j31]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) - [j30]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) - [j29]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) - [j28]Eunwoo Kim, Sungjoon Choi, Songhwai Oh:
Structured Kernel Subspace Learning for Autonomous Robot Navigation. Sensors 18(2): 582 (2018) - [c74]Eunwoo Kim, Chanho Ahn, Songhwai Oh:
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks. CVPR 2018: 8669-8678 - [c73]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 - [c72]Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, Songhwai Oh:
Text2Action: Generative Adversarial Synthesis from Language to Action. ICRA 2018: 1-5 - [c71]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 - [c70]Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh:
A Nonparametric Motion Flow Model for Human Robot Cooperation. ICRA 2018: 7211-7218 - [c69]Kyunghoon Cho, Songhwai Oh:
Learning-Based Model Predictive Control Under Signal Temporal Logic Specifications. ICRA 2018: 7322-7329 - [c68]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Maximum Causal Tsallis Entropy Imitation Learning. NeurIPS 2018: 4408-4418 - [c67]Yoonseon Oh, Kyunghoon Cho, Songhwai Oh:
Robust Multi-Objective Path Planning for Flying Robots under Wind Disturbance. UR 2018: 670-675 - [i12]Donghoon Lee, Ming-Hsuan Yang, Songhwai Oh:
Generative Single Image Reflection Separation. CoRR abs/1801.04102 (2018) - [i11]Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh:
Deep Pose Consensus Networks. CoRR abs/1803.08190 (2018) - [i10]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Maximum Causal Tsallis Entropy Imitation Learning. CoRR abs/1805.08336 (2018) - [i9]Nuri Kim, Donghoon Lee, Songhwai Oh:
Learning Instance-Aware Object Detection Using Determinantal Point Processes. CoRR abs/1805.10765 (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
- [j27]Jungchan Cho, Minsik Lee, Songhwai Oh:
Single image 3D human pose estimation using a procrustean normal distribution mixture model and model transformation. Comput. Vis. Image Underst. 155: 150-161 (2017) - [j26]Minsik Lee, Jungchan Cho, Songhwai Oh:
Procrustean Normal Distribution for Non-Rigid Structure from Motion. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1388-1400 (2017) - [j25]Kyunghoon Cho, Junghun Suh, Claire J. Tomlin, Songhwai Oh:
Cost-Aware Path Planning Under Co-Safe Temporal Logic Specifications. IEEE Robotics Autom. Lett. 2(4): 2308-2315 (2017) - [j24]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) - [j23]Junghun Suh, Joonsig Gong, Songhwai Oh:
Fast Sampling-Based Cost-Aware Path Planning With Nonmyopic Extensions Using Cross Entropy. IEEE Trans. Robotics 33(6): 1313-1326 (2017) - [c66]Yoonseon Oh, Kyunghoon Cho, Yunho Choi, Songhwai Oh:
Robust multi-layered sampling-based path planning for temporal logic-based missions. CDC 2017: 1675-1680 - [c65]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Scalable robust learning from demonstration with leveraged deep neural networks. IROS 2017: 3926-3931 - [c64]Hwiyeon Yoo, Donghoon Lee, Geonho Cha, Songhwai Oh:
Estimating objectness using a compound eye camera. MFI 2017: 131-136 - [c63]Yunho Choi, Inhwan Hwang, Songhwai Oh:
Wearable gesture control of agile micro quadrotors. MFI 2017: 266-271 - [c62]Inhwan Hwang, Geonho Cha, Songhwai Oh:
Multi-modal human action recognition using deep neural networks fusing image and inertial sensor data. MFI 2017: 278-283 - [c61]Geonho Cha, Hwiyeon Yoo, Donghoon Lee, Songhwai Oh:
Light-weight semantic segmentation for compound images. MFI 2017: 295-300 - [c60]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
A multi-agent coverage algorithm with connectivity maintenance. MFI 2017: 512-517 - [c59]Kyunghoon Cho, Yunho Choi, Songhwai Oh:
Reactive controller synthesis for UAV mission planning. URAI 2017: 238-241 - [c58]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]Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, Songhwai Oh:
Text2Action: Generative Adversarial Synthesis from Language to Action. CoRR abs/1710.05298 (2017) - [i2]Eunwoo Kim, Chanho Ahn, Songhwai Oh:
Learning Nested Sparse Structures in Deep Neural Networks. CoRR abs/1712.03781 (2017) - 2016
- [j22]Jungchan Cho, Minsik Lee, Songhwai Oh:
Complex Non-rigid 3D Shape Recovery Using a Procrustean Normal Distribution Mixture Model. Int. J. Comput. Vis. 117(3): 226-246 (2016) - [j21]Jungchan Cho, Inhwan Hwang, Songhwai Oh:
VibePhone: efficient surface recognition for smartphones using vibration. Pattern Anal. Appl. 19(1): 251-265 (2016) - [j20]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) - [j19]Eunwoo Kim, Minsik Lee, Songhwai Oh:
Robust Elastic-Net Subspace Representation. IEEE Trans. Image Process. 25(9): 4245-4259 (2016) - [c57]Junghun Suh, Kyunghoon Cho, Songhwai Oh:
Efficient graph-based informative path planning using cross entropy. CDC 2016: 5894-5899 - [c56]Minsik Lee, Jungchan Cho, Songhwai Oh:
Consensus of Non-rigid Reconstructions. CVPR 2016: 4670-4678 - [c55]Donghoon Lee, Geonho Cha, Ming-Hsuan Yang, Songhwai Oh:
Individualness and Determinantal Point Processes for Pedestrian Detection. ECCV (6) 2016: 330-346 - [c54]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization. ICRA 2016: 470-475 - [c53]Yoonseon Oh, Songhwai Oh:
Multiple-hypothesis chance-constrained target tracking under identity uncertainty. ICRA 2016: 5702-5707 - [c52]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Gaussian random paths for real-time motion planning. IROS 2016: 1456-1461 - [c51]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Robust modeling and prediction in dynamic environments using recurrent flow networks. IROS 2016: 1737-1742 - [c50]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Inverse reinforcement learning with leveraged Gaussian processes. IROS 2016: 3907-3912 - [i1]Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh:
Density Matching Reward Learning. CoRR abs/1608.03694 (2016) - 2015
- [j18]Eunwoo Kim, Songhwai Oh:
Robust orthogonal matrix factorization for efficient subspace learning. Neurocomputing 167: 218-229 (2015) - [j17]Kwang Moo Yi, Hawook Jeong, Soo Wan Kim, Shimin Yin, Songhwai Oh, Jin Young Choi:
Visual tracking of non-rigid objects with partial occlusion through elastic structure of local patches and hierarchical diffusion. Image Vis. Comput. 39: 23-37 (2015) - [j16]Eunwoo Kim, Minsik Lee, Chong-Ho Choi, Nojun Kwak, Songhwai Oh:
Efficient l1-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method. IEEE Trans. Neural Networks Learn. Syst. 26(2): 237-251 (2015) - [c49]Moonsub Byeon, Songhwai Oh, Kikyung Kim, Haan-Ju Yoo, Jin Young Choi:
Efficient Spatio-Temporal Data Association Using Multidimensional Assignment in Multi-Camera Multi-Target Tracking. BMVC 2015: 68.1-68.12 - [c48]Inhwan Hwang, Songhwai Oh:
A Non-visual Sensor Triggered Life Logging System Using Canonical Correlation Analysis. CPSNA 2015: 31-36 - [c47]Eunwoo Kim, Minsik Lee, Songhwai Oh:
Elastic-net regularization of singular values for robust subspace learning. CVPR 2015: 915-923 - [c46]Junghun Suh, Joonsig Gong, Songhwai Oh:
Energy-efficient high-dimensional motion planning for humanoids using stochastic optimization. Humanoids 2015: 564-569 - [c45]Donghoon Lee, Ming-Hsuan Yang, Songhwai Oh:
Fast and Accurate Head Pose Estimation via Random Projection Forests. ICCV 2015: 1958-1966 - [c44]Eunwoo Kim, Sungjoon Choi, Songhwai Oh:
Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation. ICRA 2015: 69-74 - [c43]Yoonseon Oh, Sungjoon Choi, Songhwai Oh:
Chance-constrained target tracking for mobile robots. ICRA 2015: 409-414 - [c42]Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh:
Leveraged non-stationary Gaussian process regression for autonomous robot navigation. ICRA 2015: 473-478 - [c41]Jin Young Choi, Sunwoo Lee, Yoonseon Oh, Songhwai Oh:
Pedestrian-following service robot applications using chance-constrained target tracking. URAI 2015: 504-506 - 2014
- [j15]Donghoon Lee, Inhwan Hwang, Songhwai Oh:
OPTIMUS: online persistent tracking and identification of many users for smart spaces. Mach. Vis. Appl. 25(4): 901-917 (2014) - [j14]Jungchan Cho, Minsik Lee, Hyung Jin Chang, Songhwai Oh:
Robust action recognition using local motion and group sparsity. Pattern Recognit. 47(5): 1813-1825 (2014) - [j13]Hyeongseok Oh, Geonho Cha, Songhwai Oh:
Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks. Sensors 14(3): 5516-5535 (2014) - [j12]Inhwan Hwang, Jungchan Cho, Songhwai Oh:
VibeComm: Radio-Free Wireless Communication for Smart Devices Using Vibration. Sensors 14(11): 21151-21173 (2014) - [c40]Geonho Cha, Joonsig Gong, Songhwai Oh:
SmartPTA: A Smartphone-Based Human Motion Evaluation System. CPSNA 2014: 43-48 - [c39]Hyemin Ahn, Hyunjun Kim, Yoonseon Oh, Songhwai Oh:
Smartphone-Controlled Telerobotic Systems. CPSNA 2014: 77-80 - [c38]Minsik Lee, Chong-Ho Choi, Songhwai Oh:
A Procrustean Markov Process for Non-rigid Structure Recovery. CVPR 2014: 1550-1557 - [c37]Sungjoon Choi, Eunwoo Kim, Songhwai Oh:
Real-time navigation in crowded dynamic environments using Gaussian process motion control. ICRA 2014: 3221-3226 - [c36]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
- [j11]Jungchan Cho, Minsik Lee, Chong-Ho Choi, Songhwai Oh:
EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modeling. Comput. Vis. Image Underst. 117(11): 1549-1559 (2013) - [j10]Sangseok Yoon, Hyeongseok Oh, Donghoon Lee, Songhwai Oh:
PASU: A personal area situation understanding system using wireless camera sensor networks. Pers. Ubiquitous Comput. 17(4): 713-727 (2013) - [j9]Phoebus Chen, Kirak Hong, Nikhil Naikal, S. Shankar Sastry, J. Doug Tygar, Posu Yan, Allen Y. Yang, Lung-Chung Chang, Leon Lin, Simon Wang, Edgar J. Lobaton, Songhwai Oh, Parvez Ahammad:
A low-bandwidth camera sensor platform with applications in smart camera networks. ACM Trans. Sens. Networks 9(2): 21:1-21:23 (2013) - [c35]Hyung Jin Chang, Jiyun Kim, Jungchan Cho, Songhwai Oh, Kwang Moo Yi, Jin Young Choi:
Action Chart: A Representation for Efficient Recognition of Complex Activity. BMVC 2013 - [c34]Sungjoon Choi, Mahdi Jadaliha, Jongeun Choi, Songhwai Oh:
Distributed Gaussian process regression for mobile sensor networks under localization uncertainty. CDC 2013: 4766-4771 - [c33]Donghoon Lee, Songhwai Oh:
Understanding human-place interaction from tracking and identification of many users. CPSNA 2013: 112-115 - [c32]Minsik Lee, Jungchan Cho, Chong-Ho Choi, Songhwai Oh:
Procrustean Normal Distribution for Non-rigid Structure from Motion. CVPR 2013: 1280-1287 - [c31]Sangmin Lee, Jae Hyun Ahn, Hwiyeon Yoo, Suk Won Jung, Songhwai Oh, S. Park, Dong-Il Dan Cho:
Electrical characteristics of 2D and 3D microelectrodes for high-resolution retinal prostheses. EMBC 2013: 3535-3538 - [c30]Sungjoon Choi, Eunwoo Kim, Songhwai Oh:
Human behavior prediction for smart homes using deep learning. RO-MAN 2013: 173-179 - 2012
- [j8]Songhwai Oh:
A Scalable Multi-Target Tracking Algorithm for Wireless Sensor Networks. Int. J. Distributed Sens. Networks 8 (2012) - [j7]Zaihong Shuai, Sangseok Yoon, Songhwai Oh, Ming-Hsuan Yang:
Traffic modeling and prediction using sensor networks: Who will go where and when? ACM Trans. Sens. Networks 9(1): 6:1-6:28 (2012) - [c29]Junghun Suh, Seungil You, Songhwai Oh:
A cooperative localization algorithm for mobile sensor networks. CASE 2012: 1126-1131 - [c28]Junyoung Kim, Juyong Kim, Seungil You, Yoonseon Oh, Songhwai Oh:
Actionable topological mapping for navigation using nearby objects. CASE 2012: 1162-1167 - [c27]Junghun Suh, Songhwai Oh:
A cost-aware path planning algorithm for mobile robots. IROS 2012: 4724-4729 - [c26]Inhwan Hwang, Jungchan Cho, Songhwai Oh:
Privacy-Aware Communication for Smartphones Using Vibration. RTCSA 2012: 447-452 - [c25]Jungchan Cho, Inhwan Hwang, Songhwai Oh:
Vibration-Based Surface Recognition for Smartphones. RTCSA 2012: 459-464 - 2011
- [j6]Shimin Yin, Jin Hee Na, Jin Young Choi, Songhwai Oh:
Hierarchical Kalman-particle filter with adaptation to motion changes for object tracking. Comput. Vis. Image Underst. 115(6): 885-900 (2011) - [j5]Hoam Chung, Songhwai Oh, David Hyunchul Shim, S. Shankar Sastry:
Toward Robotic Sensor Webs: Algorithms, Systems, and Experiments. Proc. IEEE 99(9): 1562-1586 (2011) - [j4]Yunfei Xu, Jongeun Choi, Songhwai Oh:
Mobile Sensor Network Navigation Using Gaussian Processes With Truncated Observations. IEEE Trans. Robotics 27(6): 1118-1131 (2011) - [c24]Songhwai Oh:
A distributed deterministic approximation algorithm for data association. DCOSS 2011: 1-8 - [c23]Sangseok Yoon, Hyeongseok Oh, Donghoon Lee, Songhwai Oh:
Virtual Lock: A Smartphone Application for Personal Surveillance Using Camera Sensor Networks. RTCSA (2) 2011: 77-82 - 2010
- [c22]Songhwai Oh, Jongeun Choi:
Distributed learning in mobile sensor networks using cross validation. CDC 2010: 3845-3850 - [c21]Songhwai Oh, Yunfei Xu, Jongeun Choi:
Explorative navigation of mobile sensor networks using sparse Gaussian processes. CDC 2010: 3851-3856 - [c20]Zaihong Shuai, Songhwai Oh, Ming-Hsuan Yang:
Traffic modeling and prediction using camera sensor networks. ICDSC 2010: 49-56 - [c19]Soo Wan Kim, Kwang Moo Yi, Songhwai Oh, Jin Young Choi:
Recovery Video Stabilization Using MRF-MAP Optimization. ICPR 2010: 2804-2807 - [p1]Manish Kushwaha, Songhwai Oh, Isaac Amundson, Xenofon D. Koutsoukos, Ákos Lédeczi:
Tracking in Urban Environments Using Sensor Networks Based on Audio-Video Fusion. Handbook of Ambient Intelligence and Smart Environments 2010: 117-148
2000 – 2009
- 2009
- [j3]Jongeun Choi, Songhwai Oh, Roberto Horowitz:
Distributed learning and cooperative control for multi-agent systems. Autom. 45(12): 2802-2814 (2009) - [j2]Songhwai Oh, Stuart Russell, Shankar Sastry:
Markov Chain Monte Carlo Data Association for Multi-Target Tracking. IEEE Trans. Autom. Control. 54(3): 481-497 (2009) - [c18]Kirak Hong, Posu Yan, Phoebus Chen, Shankar Sastry, Songhwai Oh:
Poster abstract: Multihop routing in camera sensor networks - An experimental study. IPSN 2009: 381-382 - 2008
- [c17]Manish Kushwaha, Songhwai Oh, Isaac Amundson, Xenofon D. Koutsoukos, Ákos Lédeczi:
Target tracking in urban environments using audio-video signal processing in heterogeneous wireless sensor networks. ACSCC 2008: 1606-1610 - [c16]Jongeun Choi, Joonho Lee, Songhwai Oh:
Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes. ACC 2008: 135-140 - [c15]Phoebus Chen, Parvez Ahammad, Colby Boyer, Shih-I Huang, Leon Lin, Edgar J. Lobaton, Marci Meingast, Songhwai Oh, Simon Wang, Posu Yan, Allen Y. Yang, Chuohao Yeo, Lung-Chung Chang, J. Doug Tygar, Shankar Sastry:
CITRIC: A low-bandwidth wireless camera network platform. ICDSC 2008: 1-10 - [c14]Marci Meingast, Manish Kushwaha, Songhwai Oh, Xenofon D. Koutsoukos, Ákos Lédeczi, Shankar Sastry:
Fusion-based localization for a Heterogeneous camera network. ICDSC 2008: 1-8 - [c13]Manish Kushwaha, Songhwai Oh, Isaac Amundson, Xenofon D. Koutsoukos, Ákos Lédeczi:
Target tracking in heterogeneous sensor networks using audio and video sensor fusion. MFI 2008: 14-19 - 2007
- [j1]Songhwai Oh, Luca Schenato, Phoebus Chen, Shankar Sastry:
Tracking and Coordination of Multiple Agents Using Sensor Networks: System Design, Algorithms and Experiments. Proc. IEEE 95(1): 234-254 (2007) - [c12]Songhwai Oh, Shankar Sastry:
Approximate Estimation of Distributed Networked Control Systems. ACC 2007: 997-1002 - [c11]Jongeun Choi, Songhwai Oh, Roberto Horowitz:
Cooperatively learning mobile agents for gradient climbing. CDC 2007: 3139-3144 - [c10]Marci Meingast, Songhwai Oh, Shankar Sastry:
Automatic Camera Network Localization using Object Image Tracks. ICCV 2007: 1-8 - 2006
- [c9]Songhwai Oh, Shankar Sastry:
Distributed Networked Control System with Lossy Links: State Estimation and Stabilizing Communication Control. CDC 2006: 1942-1947 - [c8]Songhwai Oh, Phoebus Chen, Michael Manzo, Shankar Sastry:
Instrumenting Wireless Sensor Networks for Real-time Surveillance. ICRA 2006: 3128-3133 - 2005
- [c7]Songhwai Oh, Shankar Sastry:
A polynomial-time approximation algorithm for joint probabilistic data association. ACC 2005: 1283-1288 - [c6]Songhwai Oh, Shankar Sastry:
An Efficient Algorithm for Tracking Multiple Maneuvering Targets. CDC/ECC 2005: 4010-4015 - [c5]Songhwai Oh, Luca Schenato, Shankar Sastry:
A Hierarchical Multiple-Target Tracking Algorithm for Sensor Networks. ICRA 2005: 2197-2202 - [c4]Luca Schenato, Songhwai Oh, Shankar Sastry, Prasanta K. Bose:
Swarm Coordination for Pursuit Evasion Games using Sensor Networks. ICRA 2005: 2493-2498 - [c3]Songhwai Oh, Shankar Sastry:
Tracking on a graph. IPSN 2005: 195-202 - 2004
- [c2]Songhwai Oh, Jin Kim, Shankar Sastry:
A sampling-based approach to nonparametric dynamic system identification and estimation. ACC 2004: 873-879 - [c1]Songhwai Oh, Stuart Russell, Shankar Sastry:
Markov chain Monte Carlo data association for general multiple-target tracking problems. CDC 2004: 735-742
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint