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2020 – today
- 2024
[j37]Eojin Rho
, Woongbae Kim, Jungwook Mun, Sung Yol Yu, Kyu-Jin Cho, Sungho Jo:
Impact of Physical Parameters and Vision Data on Deep Learning-Based Grip Force Estimation for Fluidic Origami Soft Grippers. IEEE Robotics Autom. Lett. 9(3): 2487-2494 (2024)- [j36]Juho Lee, Jin Woo Choi, Sungho Jo:
Selective Multi-Source Domain Adaptation Network for Cross-Subject Motor Imagery Discrimination. IEEE Trans. Cogn. Dev. Syst. 16(3): 923-934 (2024) - [j35]Eojin Rho, Hochang Lee, Yechan Lee, Kun-Do Lee, Jungwook Mun, Min Kim, Daekyum Kim, Hyung-Soon Park, Sungho Jo:
Multiple Hand Posture Rehabilitation System Using Vision-Based Intention Detection and Soft-Robotic Glove. IEEE Trans. Ind. Informatics 20(4): 6499-6509 (2024) - [c56]Khang Truong Giang, Soohwan Song, Sungho Jo:
Learning to Produce Semi-Dense Correspondences for Visual Localization. CVPR 2024: 19468-19478 - [c55]Junyong Park, Saelyne Yang, Sungho Jo:
Silent Impact: Tracking Tennis Shots from the Passive Arm. UIST 2024: 115:1-115:15 - [i8]Khang Truong Giang, Soohwan Song, Sungho Jo:
Learning to Produce Semi-dense Correspondences for Visual Localization. CoRR abs/2402.08359 (2024) - 2023
- [j34]Soohwan Song, Khang Truong Giang, Daekyum Kim, Sungho Jo:
Prior depth-based multi-view stereo network for online 3D model reconstruction. Pattern Recognit. 136: 109198 (2023) - [j33]Byung Hyung Kim, Jin Woo Choi, Honggu Lee, Sungho Jo:
A discriminative SPD feature learning approach on Riemannian manifolds for EEG classification. Pattern Recognit. 143: 109751 (2023) - [j32]Jungwook Mun, Khang Truong Giang, Yunghee Lee, Nayoung Oh, Sejoon Huh, Min Kim, Sungho Jo:
HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot Grasping. IEEE Robotics Autom. Lett. 8(12): 8390-8397 (2023) - [c54]Khang Truong Giang, Soohwan Song, Sungho Jo:
TopicFM: Robust and Interpretable Topic-Assisted Feature Matching. AAAI 2023: 2447-2455 - [c53]Jin Woo Choi, Jaehoon Choi, Sungho Jo:
Reference Bank Multi-Feature Extraction for EEG-Based Concentration Discrimination. BCI 2023: 1-5 - [c52]Chaeeun Hwang, Jin Woo Choi, Sungho Jo:
Effect of Grasping Speed During Wearable Robotic Glove-Based Motor Imagery Training. BCI 2023: 1-4 - [c51]Haram Kwon, Jaehoon Choi, Jin Woo Choi, Sungho Jo:
Subject-Aware User State Classification with Deep Learning Models: An Exploratory Study. BCI 2023: 1-4 - [c50]Netiwit Kaongoen, Sungho Jo:
Adapting Artifact Subspace Reconstruction Method for SingleChannel EEG using Signal Decomposition Techniques. EMBC 2023: 1-4 - [c49]Jaejun Lee, Chanyoung Chung, Hochang Lee, Sungho Jo, Joyce Jiyoung Whang:
VISTA: Visual-Textual Knowledge Graph Representation Learning. EMNLP (Findings) 2023: 7314-7328 - [i7]Khang Truong Giang, Soohwan Song, Sungho Jo:
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching. CoRR abs/2307.00485 (2023) - 2022
- [j31]Netiwit Kaongoen, Jaehoon Choi, Sungho Jo:
A novel online BCI system using speech imagery and ear-EEG for home appliances control. Comput. Methods Programs Biomed. 224: 107022 (2022) - [j30]Junyong Park, Daekyum Kim, Sejoon Huh, Sungho Jo:
Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction. Pattern Recognit. 129: 108764 (2022) - [j29]Ji Ho Kwak, Jaejun Lee, Joyce Jiyoung Whang, Sungho Jo:
Semantic Grasping Via a Knowledge Graph of Robotic Manipulation: A Graph Representation Learning Approach. IEEE Robotics Autom. Lett. 7(4): 9397-9404 (2022) - [j28]Byung Hyung Kim, Sungho Jo, Sunghee Choi:
ALIS: Learning Affective Causality Behind Daily Activities From a Wearable Life-Log System. IEEE Trans. Cybern. 52(12): 13212-13224 (2022) - [c48]Jaehoon Choi, Netiwit Kaongoen, Sungho Jo:
Investigation on Effect of Speech Imagery EEG Data Augmentation with Actual Speech. BCI 2022: 1-5 - [c47]Netiwit Kaongoen, Jonghee Jeon, Sungho Jo:
Enhancing the Performance of P300-based BCIs by tDCS of the Left VL-PFC. BCI 2022: 1-5 - [c46]Haram Kwon, Chaeeun Hwang, Sungho Jo:
Vision Combined with MI-Based BCI in Soft Robotic Glove Control. BCI 2022: 1-5 - [c45]Khang Truong Giang, Soohwan Song, Sungho Jo:
Curvature-Guided Dynamic Scale Networks for Multi-View Stereo. ICLR 2022 - [i6]Khang Truong Giang, Soohwan Song, Sungho Jo:
TopicFM: Robust and Interpretable Feature Matching with Topic-assisted. CoRR abs/2207.00328 (2022) - 2021
- [j27]Min Kim, Hyungmin Choi, Kyu-Jin Cho, Sungho Jo:
Single to Multi: Data-Driven High Resolution Calibration Method for Piezoresistive Sensor Array. IEEE Robotics Autom. Lett. 6(3): 4970-4977 (2021) - [j26]Eojin Rho, Daekyum Kim, Hochang Lee, Sungho Jo:
Learning Fingertip Force to Grasp Deformable Objects for Soft Wearable Robotic Glove With TSM. IEEE Robotics Autom. Lett. 6(4): 8126-8133 (2021) - [c44]Juho Lee, Jin Woo Choi, Sungho Jo:
Subject-Independent Motor Imagery EEG Classification Based on Graph Convolutional Network. ACPR (2) 2021: 268-281 - [c43]Jin Woo Choi, Byung Hyung Kim, Sungho Jo:
Asynchronous Motor Imagery Brain-Computer Interface for Simulated Drone Control. BCI 2021: 1-5 - [c42]Netiwit Kaongoen, Jaehoon Choi, Sungho Jo:
Transcranial Direct-Current Stimulation Effect on a Speech-Imagery-based BCI. BCI 2021: 1-5 - [c41]Byung Hyung Kim, Jin Woo Choi, Sungho Jo:
Rank-based Discriminative Feature Learning for Motor Imagery Classification in EEG signals. BCI 2021: 1-4 - [c40]Moonyoung Lee, Youngsun Kwon, Sebin Lee, Jonghun Choe, Junyong Park, Hyobin Jeong, Yujin Heo, Min-Su Kim, Sungho Jo, Sung-Eui Yoon, Jun-Ho Oh:
Dynamic Humanoid Locomotion Over Rough Terrain With Streamlined Perception-Control Pipeline. IROS 2021: 4111-4117 - [c39]Byung Hyung Kim, Ji Ho Kwak, Minuk Kim, Sungho Jo:
Affect-driven Robot Behavior Learning System using EEG Signals for Less Negative Feelings and More Positive Outcomes. IROS 2021: 4162-4167 - [c38]Nayoung Oh, Junyong Park, Ji Ho Kwak, Sungho Jo:
A Robot Capable of Proactive Assistance through Handovers for Sequential Tasks. UR 2021: 296-301 - [i5]Khang Truong Giang, Soohwan Song, Sungho Jo:
Curvature-guided dynamic scale networks for Multi-view Stereo. CoRR abs/2112.05999 (2021) - 2020
- [j25]Byung Hyung Kim, Seunghun Koh, Sejoon Huh, Sungho Jo, Sunghee Choi:
Improved Explanatory Efficacy on Human Affect and Workload Through Interactive Process in Artificial Intelligence. IEEE Access 8: 189013-189024 (2020) - [j24]Soohwan Song, Daekyum Kim, Sungho Jo:
Online coverage and inspection planning for 3D modeling. Auton. Robots 44(8): 1431-1450 (2020) - [j23]Jin Woo Choi, Sejoon Huh, Sungho Jo:
Improving performance in motor imagery BCI-based control applications via virtually embodied feedback. Comput. Biol. Medicine 127: 104079 (2020) - [j22]Brian Byunghyun Kang, Daekyum Kim, Hyungmin Choi, Useok Jeong, Kyu Bum Kim, Sungho Jo, Kyu-Jin Cho:
Learning-Based Fingertip Force Estimation for Soft Wearable Hand Robot With Tendon-Sheath Mechanism. IEEE Robotics Autom. Lett. 5(2): 946-953 (2020) - [j21]Byung Hyung Kim, Sungho Jo:
Deep Physiological Affect Network for the Recognition of Human Emotions. IEEE Trans. Affect. Comput. 11(2): 230-243 (2020) - [j20]Netiwit Kaongoen, Moonwon Yu, Sungho Jo:
Two-Factor Authentication System Using P300 Response to a Sequence of Human Photographs. IEEE Trans. Syst. Man Cybern. Syst. 50(3): 1178-1185 (2020) - [c37]Jaehoon Choi, Sungho Jo:
Application of Hybrid Brain-Computer Interface with Augmented Reality on Quadcopter Control. BCI 2020: 1-5 - [c36]Netiwit Kaongoen, Sungho Jo:
An Ear-EEG-based Brain-Computer Interface using Concentration Level for Control. BCI 2020: 1-4 - [c35]Byung Hyung Kim, Yoon-Je Suh, Honggu Lee, Sungho Jo:
Nonlinear Ranking Loss on Riemannian Potato Embedding. ICPR 2020: 4348-4355 - [c34]Soohwan Song, Daekyum Kim, Sungho Jo:
Active 3D Modeling via Online Multi-View Stereo. ICRA 2020: 5284-5291 - [i4]Moonyoung Lee, Youngsun Kwon, Sebin Lee, Jonghun Choe, Junyong Park, Hyobin Jeong, Yujin Heo, Min-Su Kim, Sungho Jo, Sung-Eui Yoon, Jun-Ho Oh:
Dynamic Humanoid Locomotion over Uneven Terrain With Streamlined Perception-Control Pipeline. CoRR abs/2011.15020 (2020)
2010 – 2019
- 2019
- [j19]Dooyoung Kim, Min Kim, Junghan Kwon, Yong-Lae Park, Sungho Jo:
Semi-Supervised Gait Generation With Two Microfluidic Soft Sensors. IEEE Robotics Autom. Lett. 4(3): 2501-2507 (2019) - [j18]Brian Byunghyun Kang, Kyu Bum Kim, Hyungmin Choi, Jeesoo Ha, Kyu-Jin Cho, Sungho Jo:
Eyes are faster than hands: A soft wearable robot learns user intention from the egocentric view. Sci. Robotics 4(26) (2019) - [j17]Jung Guk Park, Sungho Jo:
Bayesian Weight Decay on Bounded Approximation for Deep Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2866-2875 (2019) - [c33]Junyong Park, Jin Woo Choi, Sungho Jo:
A SLAM Integrated Hybrid Brain-Computer Interface for Accurate and Concise Control. BCI 2019: 1-5 - [c32]Jin Woo Choi, Taehyean Choi, Shinjeong Kim, Sungho Jo:
Towards Utilization of Error-Related Potentials for Brain-to-Vehicle Communication. BCI 2019: 1-6 - [c31]Seunghun Koh, Hee Ju Wi, Byung Hyung Kim, Sungho Jo:
Personalizing the Prediction: Interactive and Interpretable machine learning. UR 2019: 354-359 - [i3]Byung Hyung Kim, Sungho Jo:
Wearable Affective Life-Log System for Understanding Emotion Dynamics in Daily Life. CoRR abs/1911.01072 (2019) - [i2]Byung Hyung Kim, Sungho Jo:
An Affective Situation Labeling System from Psychological Behaviors in Emotion Recognition. CoRR abs/1911.01158 (2019) - [i1]Byung Hyung Kim, Seunghun Koh, Sejoon Huh, Sungho Jo:
Improved explanatory efficacy on human affect and workload through interactive process in artificial intelligence. CoRR abs/1912.07416 (2019) - 2018
- [j16]Seunghyun Han, Taekyoung Kim, Dooyoung Kim, Yong-Lae Park, Sungho Jo:
Use of Deep Learning for Characterization of Microfluidic Soft Sensors. IEEE Robotics Autom. Lett. 3(2): 873-880 (2018) - [c30]Sungho Jo, Jin Woo Choi:
Effective motor imagery training with visual feedback for non-invasive brain computer interface. BCI 2018: 1-4 - [c29]Netiwit Kaongoen, Sungho Jo:
An auditory P300-based brain-computer interface using Ear-EEG. BCI 2018: 1-4 - [c28]Eojin Rho, Sungho Jo:
OctoMap-based semi-autonomous quadcopter navigation with biosignal classification. BCI 2018: 1-4 - [c27]Soohwan Song, Sungho Jo:
Surface-Based Exploration for Autonomous 3D Modeling. ICRA 2018: 1-8 - [c26]Jin Woo Choi, Eojin Rho, Sejoon Huh, Sungho Jo:
An EOG/EEG-Based Hybrid Brain-Computer Interface for Chess. SMC 2018: 129-134 - [c25]Xin Zhang, Sara Modarres Razavi, Fredrik Gunnarsson, Kjell Larsson, Jawad Manssour, Minsoo Na, Changsoon Choi, Sungho Jo:
Beam-based vehicular position estimation in 5G radio access. WCNC 2018: 1-6 - 2017
- [j15]Honggu Lee, Kiho Kwak, Sungho Jo:
An incremental nonparametric Bayesian clustering-based traversable region detection method. Auton. Robots 41(4): 795-810 (2017) - [j14]Youngjin Na, Sangjoon J. Kim, Sungho Jo, Jung Kim:
Ranking hand movements for myoelectric pattern recognition considering forearm muscle structure. Medical Biol. Eng. Comput. 55(8): 1507-1518 (2017) - [c24]Netiwit Kaongoen, Sungho Jo:
The effect of selective attention on multiple ASSRs for future BCI application. BCI 2017: 9-12 - [c23]Byung Hyung Kim, Sungho Jo:
An empirical study on effect of physiological asymmetry for affective stimuli. BCI 2017: 103-105 - [c22]Soohwan Song, Sungho Jo:
Online inspection path planning for autonomous 3D modeling using a micro-aerial vehicle. ICRA 2017: 6217-6224 - [c21]Kent Sommer, Keonhee Kim, Youngji Kim, Sungho Jo:
Towards accurate kidnap resolution through deep learning. URAI 2017: 502-506 - [c20]Kjell Larsson, Björn Halvarsson, Damanjit Singh, Ranvir Chana, Jawad Manssour, Minsoo Na, Changsoon Choi, Sungho Jo:
High-Speed Beam Tracking Demonstrated Using a 28 GHz 5G Trial System. VTC Fall 2017: 1-5 - 2016
- [j13]Jung Guk Park, Sungho Jo:
Approximate Bayesian MLP regularization for regression in the presence of noise. Neural Networks 83: 75-85 (2016) - [c19]Jinsung Chun, Byeonguk Bae, Sungho Jo:
BCI based hybrid interface for 3D object control in virtual reality. BCI 2016: 1-4 - [c18]Moonwon Yu, Netiwit Kaongoen, Sungho Jo:
P300-BCI-based authentication system. BCI 2016: 1-4 - [c17]Honggu Lee, Soohwan Song, Sungho Jo:
3D Reconstruction using a sparse laser scanner and a single camera for outdoor autonomous vehicle. ITSC 2016: 629-634 - 2015
- [j12]Hyonyoung Han, Sungho Jo, Jung Kim:
Comparative study of a muscle stiffness sensor and electromyography and mechanomyography under fatigue conditions. Medical Biol. Eng. Comput. 53(7): 577-588 (2015) - [c16]Bongjae Choi, Sungho Jo:
Unification of neural systems between human and humanoid robot. ASCC 2015: 1-6 - [c15]Byung Hyung Kim, Sungho Jo:
Real-time motion artifact detection and removal for ambulatory BCI. BCI 2015: 1-4 - [c14]Yongwon Kim, Sungho Jo:
Wearable hybrid brain-computer interface for daily life application. BCI 2015: 1-4 - [c13]Minsam Ko, Chayanin Wong, Sunmin Son, Euigon Jung, Uichin Lee, Seung-Woo Choi, Sungho Jo, Min H. Kim:
Lock n' LoL: Mitigating Smartphone Disturbance in Co-located Social Interactions. CHI Extended Abstracts 2015: 1561-1566 - [c12]Byung Hyung Kim, Jinsung Chun, Sungho Jo:
Dynamic motion artifact removal using inertial sensors for mobile BCI. NER 2015: 37-40 - 2014
- [j11]Byung Hyung Kim, Minho Kim, Sungho Jo:
Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking. Comput. Biol. Medicine 51: 82-92 (2014) - [j10]Hyonyoung Han, Sungho Jo:
Supervised Hierarchical Bayesian Model-Based Electomyographic Control and Analysis. IEEE J. Biomed. Health Informatics 18(4): 1214-1224 (2014) - [c11]Soohwan Song, Sungho Jo:
Traversability Classification Using Super-voxel Method in Unstructured Terrain. RiTA 2014: 595-604 - 2013
- [j9]Sumin Cho, Sungho Jo:
Incremental Online Learning of Robot Behaviors From Selected Multiple Kinesthetic Teaching Trials. IEEE Trans. Syst. Man Cybern. Syst. 43(3): 730-740 (2013) - [c10]Minho Kim, Yongwook Chae, Sungho Jo:
Hybrid EEG and eye movement interface to multi-directional target selection. EMBC 2013: 763-766 - [c9]Hyonyoung Han, Sungho Jo:
sEMG pattern classification using hierarchical Bayesian model. EMBC 2013: 6647-6650 - [c8]Honggu Lee, Sungho Jo:
Design of a Bipedal Walker with a Passive Knee and Parted Foot. RiTA 2013: 369-380 - 2012
- [j8]Yongwook Chae, Jaeseung Jeong, Sungho Jo:
Toward Brain-Actuated Humanoid Robots: Asynchronous Direct Control Using an EEG-Based BCI. IEEE Trans. Robotics 28(5): 1131-1144 (2012) - [c7]Minho Kim, Sihyun Joo, Sungho Jo:
3D Human-Pose Tracking through a Monocular Vision. RiTA 2012: 241-253 - [c6]Honggu Lee, Keonhong Lee, Sungho Jo:
Overlapped Object Recognition Using Range and Image Data for a Service Robot. RiTA 2012: 441-452 - 2011
- [c5]Yongwook Chae, Jaeseung Jeong, Sungho Jo:
Noninvasive Brain-Computer Interface-based control of humanoid navigation. IROS 2011: 685-691 - [c4]Bonggun Shin, Sungho Jo:
Pattern-preserving-based motion imitation for robots. URAI 2011: 20-25 - 2010
- [c3]Hyunwoo Yuk, Jennifer Hyunjung Shin, Sungho Jo:
Design and control of thermal SMA based small crawling robot mimicking C. elegans. IROS 2010: 407-412 - [c2]Jaeyoung Park, Kee-Eung Kim, Sungho Jo:
A POMDP approach to P300-based brain-computer interfaces. IUI 2010: 1-10
2000 – 2009
- 2008
- [j7]Sungho Jo:
Adaptive biomimetic control of robot arm motions. Neurocomputing 71(16-18): 3625-3630 (2008) - [j6]Sungho Jo:
Hypothetical neural control of human bipedal walking with voluntary modulation. Medical Biol. Eng. Comput. 46(2): 179-193 (2008) - 2007
- [j5]Sungho Jo, Steve G. Massaquoi:
A model of cerebrocerebello-spinomuscular interaction in the sagittal control of human walking. Biol. Cybern. 96(3): 279-307 (2007) - [j4]Sungho Jo:
A neurobiological model of the recovery strategies from perturbed walking. Biosyst. 90(3): 750-768 (2007) - [c1]Myongran Oh, Hyoung-Gon Lee, Sungho Jo, Jinwoo Park:
Utility Value and Fairness Consideration for Information Sharing in a Supply Chain. APMS 2007: 213-220 - 2006
- [b1]Sungho Jo:
Hierarchical neural control of human postural balance and bipedal walking in sagittal plane. Massachusetts Institute of Technology, Cambridge, MA, USA, 2006 - 2005
- [j3]Sungho Jo:
A robust approach to empirical PDF estimate. Neurocomputing 67: 288-296 (2005) - [j2]Sungho Jo, Jijun Yin, Zhi-Hong Mao:
Random neural networks with state-dependent firing neurons. IEEE Trans. Neural Networks 16(4): 980-983 (2005) - 2004
- [j1]Sungho Jo, Steve G. Massaquoi:
A model of cerebellum stabilized and scheduled hybrid long-loop control of upright balance. Biol. Cybern. 91(3): 188-202 (2004)
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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