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2020 – today
- 2025
[i35]Hogun Kee, Wooseok Oh, Minjae Kang, Hyemin Ahn, Songhwai Oh:
Tidiness Score-Guided Monte Carlo Tree Search for Visual Tabletop Rearrangement. CoRR abs/2502.17235 (2025)- 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) - [c119]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 - [c118]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 - [c117]Jaegoo Choy, Geonho Cha, Hogun Kee, Songhwai Oh:
Unsupervised 3D Part Decomposition via Leveraged Gaussian Splatting. IROS 2024: 2647-2652 - [c116]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. IROS 2024: 2893-2898 - [c115]Howoong Jun, Hyeonwoo Yu, Songhwai Oh:
Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning. IROS 2024: 5635-5640 - [c114]Minjae Kang, Hogun Kee, Yoseph Park, Junseok Kim, Jaeyeon Jeong, Geunje Cheon, Jaewon Lee, Songhwai Oh:
Gradual Receptive Expansion Using Vision Transformer for Online 3D Bin Packing. IROS 2024: 7338-7343 - [c113]Minsoo Kim, Obin Kwon, Howoong Jun, Songhwai Oh:
RNR-Nav: A Real-World Visual Navigation System Using Renderable Neural Radiance Maps. IROS 2024: 12987-12992 - [c112]Hojun Chung, Junseo Lee, Minsoo Kim, Dohyeong Kim, Songhwai Oh:
Adversarial Environment Design via Regret-Guided Diffusion Models. NeurIPS 2024 - [c111]Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh:
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees. NeurIPS 2024 - [i34]Dohyeong Kim, Mineui Hong, Jeongho Park, Songhwai Oh:
Scale-Invariant Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning. CoRR abs/2403.00282 (2024) - [i33]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) - [i32]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) - [i31]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) - [i30]Nuri Kim, Jeongho Park, Mineui Hong, Songhwai Oh:
Semantic Environment Atlas for Object-Goal Navigation. CoRR abs/2410.09081 (2024) - [i29]Hojun Chung, Junseo Lee, Minsoo Kim, Dohyeong Kim, Songhwai Oh:
Adversarial Environment Design via Regret-Guided Diffusion Models. CoRR abs/2410.19715 (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
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