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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 - [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]