Jong-Hwan Kim

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 107

Top Venues

Publications

Yewon Hwang, Jong-Hwan Kim
EASUM: Enhancing Affective State Understanding through Joint Sentiment and Emotion Modeling for Multimodal Tasks. WACV (2024)
Ki-In Na, Ue-Hwan Kim, Jong-Hwan Kim
SPU-BERT: Faster human multi-trajectory prediction from socio-physical understanding of BERT. Knowl. Based Syst. 274 (2023)
Inug Yoon, Jong-Hwan Kim
Incrementally Learned Angular Representations for Few-Shot Class-Incremental Learning. IEEE Access 11 (2023)
Guk Han, Jongoh Jeong, Jong-Hwan Kim
Adaptive Bayesian Optimization for Fast Exploration Under Safety Constraints. IEEE Access 11 (2023)
Yewon Hwang, Jong-Hwan Kim
Self-Supervised Unimodal Label Generation Strategy Using Recalibrated Modality Representations for Multimodal Sentiment Analysis. EACL (Findings) (2023)
Sun-Kyung Lee, Jong-Hwan Kim
Video Multimodal Emotion Recognition System for Real World Applications. CoRR (2023)
Tae-Min Choi, Jong-Hwan Kim
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach. ICRA (2023)
Inug Yoon, Tae-Min Choi, Young-Min Kim, Jong-Hwan Kim
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning. CoRR (2023)
Ue-Hwan Kim, Yewon Hwang, Sun-Kyung Lee, Jong-Hwan Kim
Writing in the Air: Unconstrained Text Recognition From Finger Movement Using Spatio-Temporal Convolution. IEEE Trans. Artif. Intell. 4 (6) (2023)
Tae-Min Choi, Ji-Su Kang, Jong-Hwan Kim
RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data. IEEE Access 11 (2023)
Sun-Kyung Lee, Jong-Hwan Kim
Video Multimodal Emotion Recognition System for Real World Applications. INTERSPEECH (2023)
Inug Yoon, Tae-Min Choi, Sun-Kyung Lee, Young-Min Kim, Jong-Hwan Kim
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning. CoRR (2023)
Jongoh Jeong, Jong-Hwan Kim
Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather. CoRR (2022)
Taek-Jin Song, Jongoh Jeong, Jong-Hwan Kim
End-to-End Real-Time Obstacle Detection Network for Safe Self-Driving via Multi-Task Learning. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Dong He, Furqan Abid, Young-Min Kim, Jong-Hwan Kim
SectorGSnet: Sector Learning for Efficient Ground Segmentation of Outdoor LiDAR Point Clouds. IEEE Access 10 (2022)
Jae-Woo Choi, Gyeong-Moon Park, Jong-Hwan Kim
SR-EM: Episodic Memory Aware of Semantic Relations Based on Hierarchical Clustering Resonance Network. IEEE Trans. Cybern. 52 (10) (2022)
Curie Kim, Yewon Hwang, Jong-Hwan Kim
Deep Q-Network for AI Soccer. CoRR (2022)
Curie Kim, Ue-Hwan Kim, Jong-Hwan Kim
Self-supervised 3D Object Detection from Monocular Pseudo-LiDAR. CoRR (2022)
Curie Kim, Yewon Hwang, Jong-Hwan Kim
Deep Q-Network for AI Soccer. RiTA (2022)
Jae-Woo Choi, Chan-Woo Park, Jong-Hwan Kim
FMCW Radar-Based Real-Time Hand Gesture Recognition System Capable of Out-of-Distribution Detection. IEEE Access 10 (2022)
Ki-In Na, Sunglok Choi, Jong-Hwan Kim
Adaptive Target Tracking With Interacting Heterogeneous Motion Models. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Yong-Ho Yoo, Ue-Hwan Kim, Jong-Hwan Kim
Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection. IEEE Trans. Cybern. 52 (6) (2022)
Curie Kim, Ue-Hwan Kim, Jong-Hwan Kim
Self-supervised 3D Object Detection from Monocular Pseudo-LiDAR. MFI (2022)
Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim
SimVODIS++: Neural Semantic Visual Odometry in Dynamic Environments. IEEE Robotics Autom. Lett. 7 (2) (2022)
Jin-Man Park, Ue-Hwan Kim, Seon-Hoon Lee, Jong-Hwan Kim
Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches. CVPR (2022)
Yong-Ho Yoo, Ue-Hwan Kim, Jong-Hwan Kim
Recurrent Reconstructive Network for Sequential Anomaly Detection. IEEE Trans. Cybern. 51 (3) (2021)
Ue-Hwan Kim, Yewon Hwang, Sun-Kyung Lee, Jong-Hwan Kim
Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution. CoRR (2021)
Sahng-Min Yoo, Ue-Hwan Kim, Yewon Hwang, Jong-Hwan Kim
Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard. IJCAI (2021)
Gyeong-Moon Park, Jong-Hwan Kim
Adaptive Developmental Resonance Network. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Sun-Kyung Lee, Jong-Hwan Kim
Air-Text: Air-Writing and Recognition System. ACM Multimedia (2021)
Gyeong-Moon Park, Sahng-Min Yoo, Jong-Hwan Kim
Convolutional Neural Network With Developmental Memory for Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Ju-Youn Park, Jong-Hwan Kim
Online incremental hierarchical classification resonance network. Pattern Recognit. 111 (2021)
Dong He, Jie Cheng, Jong-Hwan Kim
GSECnet: Ground Segmentation of Point Clouds for Edge Computing. CoRR (2021)
Young-Min Kim, Inug Yoon, Hyun Myung, Jong-Hwan Kim
Bi-Directional Convolutional Recurrent Reconstructive Network for Welding Defect Detection. IEEE Access 9 (2021)
Chansol Hong, In-Bae Jeong, Luiz Felipe Vecchietti, Dongsoo Har, Jong-Hwan Kim
AI World Cup: Robot-Soccer-Based Competitions. IEEE Trans. Games 13 (4) (2021)
Sahng-Min Yoo, Ue-Hwan Kim, Yewon Hwang, Jong-Hwan Kim
Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard. CoRR (2021)
Jin-Man Park, Jae-Hyuk Jang, Sahng-Min Yoo, Sun-Kyung Lee, Ue-Hwan Kim, Jong-Hwan Kim
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments. CoRR (2021)
Inug Yoon, Ue-Hwan Kim, Hyun Myung, Jong-Hwan Kim
s-DRN: Stabilized Developmental Resonance Network. RiTA (2021)
Ue-Hwan Kim, Gyeong-Min Lee, Jong-Hwan Kim
Revisiting Self-supervised Monocular Depth Estimation. RiTA (2021)
Jin-Man Park, Jae-Hyuk Jang, Sahng-Min Yoo, Sun-Kyung Lee, Ue-Hwan Kim, Jong-Hwan Kim
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments. IROS (2021)
Chansol Hong, Gyeong-Min Lee, Jae-Woo Choi, Jong-Hwan Kim
Field Friction Recognition and State Inference in AI Soccer. RiTA (2021)
Ue-Hwan Kim, Sahng-Min Yoo, Jong-Hwan Kim
I-Keyboard: Fully Imaginary Keyboard on Touch Devices Empowered by Deep Neural Decoder. IEEE Trans. Cybern. 51 (9) (2021)
Ue-Hwan Kim, Jong-Hwan Kim
Revisiting Self-Supervised Monocular Depth Estimation. CoRR (2021)
Woo-Hyun Kim, Jong-Hwan Kim
Individualized AI Tutor Based on Developmental Learning Networks. IEEE Access 8 (2020)
Ju-Youn Park, Yewon Hwang, Dukyoung Lee, Jong-Hwan Kim
MarsNet: Multi-Label Classification Network for Images of Various Sizes. IEEE Access 8 (2020)
Alexander C. Holston, Jong-Hwan Kim
Reoriented Short-Cuts (RSC): An Adjustment Method for Locally Optimal Path Short-Cutting in High DoF Configuration Spaces. ICRA (2020)
Ju-Youn Park, Jong-Hwan Kim
Incremental Class Learning for Hierarchical Classification. IEEE Trans. Cybern. 50 (1) (2020)
Joonhyuk Kim, Sahng-Min Yoo, Gyeong-Moon Park, Jong-Hwan Kim
Continual Unsupervised Domain Adaptation with Adversarial Learning. CoRR (2020)
Ue-Hwan Kim, Dongho Ka, Hwasoo Yeo, Jong-Hwan Kim
A Real-time Vision Framework for Pedestrian Behavior Recognition and Intention Prediction at Intersections Using 3D Pose Estimation. CoRR (2020)
Ue-Hwan Kim, Jin-Man Park, Taek-Jin Song, Jong-Hwan Kim
3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents. IEEE Trans. Cybern. 50 (12) (2020)
Joonhyuk Kim, Inug Yoon, Gyeong-Moon Park, Jong-Hwan Kim
Non-Probabilistic Cosine Similarity Loss for Few-Shot Image Classification. BMVC (2020)
Jin-Man Park, Yong-Ho Yoo, Ue-Hwan Kim, Dukyoung Lee, Jong-Hwan Kim
PointNet: Dual-Level Defect Detection PointNet for Solder Paste Printer in Surface Mount Technology. IEEE Access 8 (2020)
Ki-In Na, Byungjae Park, Jong-Hwan Kim
SPriorSeg: Fast Road-Object Segmentation using Deep Semantic Prior for Sparse 3D Point Clouds. SMC (2020)
Ue-Hwan Kim, Jong-Hwan Kim
A Stabilized Feedback Episodic Memory (SF-EM) and Home Service Provision Framework for Robot and IoT Collaboration. IEEE Trans. Cybern. 50 (5) (2020)
Ju-Youn Park, Jong-Hwan Kim
Online Incremental Classification Resonance Network and Its Application to Human-Robot Interaction. IEEE Trans. Neural Networks Learn. Syst. 31 (5) (2020)
Sunglok Choi, Jong-Hwan Kim
Leveraging Localization Accuracy With Off-Centered GPS. IEEE Trans. Intell. Transp. Syst. 21 (6) (2020)
Ue-Hwan Kim, Sahng-Min Yoo, Jong-Hwan Kim
I-Keyboard: Fully Imaginary Keyboard on Touch Devices Empowered by Deep Neural Decoder. CoRR (2019)
Rituparna Datta, Kalyanmoy Deb, Jong-Hwan Kim
CHIP: Constraint Handling with Individual Penalty approach using a hybrid evolutionary algorithm. Neural Comput. Appl. 31 (9) (2019)
Inug Yoon, Ue-Hwan Kim, Jong-Hwan Kim
s-DRN: Stabilized Developmental Resonance Network. CoRR (2019)
Ue-Hwan Kim, Jong-Hwan Kim
A Stabilized Feedback Episodic Memory (SF-EM) and Home Service Provision Framework for Robot and IoT Collaboration. CoRR (2019)
Ue-Hwan Kim, Jin-Man Park, Taek-Jin Song, Jong-Hwan Kim
3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents. CoRR (2019)
Sun-Kyung Lee, Jong-Hwan Kim
BALD-VAE: Generative Active Learning based on the Uncertainties of Both Labeled and Unlabeled Data. RiTA (2019)
Jae-Woo Choi, Si-Jung Ryu, Jong-Hwan Kim
Short-Range Radar Based Real-Time Hand Gesture Recognition Using LSTM Encoder. IEEE Access 7 (2019)
Joonhyuk Kim, Gyeong-Moon Park, Jong-Hwan Kim
. RiTA (2019)
Yong-Ho Yoo, Ue-Hwan Kim, Jong-Hwan Kim
Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection. CoRR (2019)
Gyeong-Moon Park, Jae-Woo Choi, Jong-Hwan Kim
Developmental Resonance Network. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Jauwairia Nasir, Deok-Hwa Kim, Jong-Hwan Kim
ART neural network-based integration of episodic memory and semantic memory for task planning for robots. Auton. Robots 43 (8) (2019)
Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation. CoRR (2019)
In-Bae Jeong, Seung-Jae Lee, Jong-Hwan Kim
Quick-RRT*: Triangular inequality-based implementation of RRT* with improved initial solution and convergence rate. Expert Syst. Appl. 123 (2019)
Seung-Jae Lee, Jin-Man Park, Deok-Hwa Kim, Jong-Hwan Kim
Adaptive Task Planner for Performing Home Service Tasks in Cooperation with a Human. IROS (2018)
Won-Hyong Lee, Jong-Hwan Kim
Hierarchical emotional episodic memory for social human robot collaboration. Auton. Robots 42 (5) (2018)
Won-Hyong Lee, Jong-Hwan Kim
Social Relationship Development between Human and Robot through Real-time Face Identification and Emotional Interaction. HRI (Companion) (2018)
Won-Hyong Lee, Sahng-Min Yoo, Jae-Woo Choi, Ue-Hwan Kim, Jong-Hwan Kim
Human Robot Social Interaction Framework Based on Emotional Episodic Memory. RiTA (2018)
Jauwairia Nasir, Yong-Ho Yoo, Deok-Hwa Kim, Jong-Hwan Kim
User Preference-Based Dual-Memory Neural Model With Memory Consolidation Approach. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Woo-Ri Ko, Jong-Hwan Kim
Novel Siamese Robot Platform for Multi-human Robot Interaction. ICSR (2018)
Gyeong-Moon Park, Yong-Ho Yoo, Deok-Hwa Kim, Jong-Hwan Kim
Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots. IEEE Trans. Cybern. 48 (6) (2018)
Sunglok Choi, Jong-Hwan Kim
Fast and reliable minimal relative pose estimation under planar motion. Image Vis. Comput. 69 (2018)
Ue-Hwan Kim, Jong-Hwan Kim
Integration of Semantic and Episodic Memories for Task Intelligence. RiTA (2018)
Sadaf Gulshad, Jong-Hwan Kim
Deep convolutional and recurrent writer. IJCNN (2017)
Alexander C. Holston, Deok-Hwa Kim, Jong-Hwan Kim
Fast-BIT∗: Modified heuristic for sampling-based optimal planning with a faster first solution and convergence in implicit random geometric graphs. ROBIO (2017)
Sadaf Gulshad, Dick Sigmund, Jong-Hwan Kim
Learning to reproduce stochastic time series using stochastic LSTM. IJCNN (2017)
Dick Sigmund, Gyeong-Moon Park, Jong-Hwan Kim
Context preference-based deep adaptive resonance theory: Integrating user preferences into episodic memory encoding and retrieval. IJCNN (2017)
Sheir Afgen Zaheer, Jong-Hwan Kim
Facial Emotion Recognition in Presence of Speech using a Default ARTMAP Classifier. IJCCI (2017)
Sanghyun Cho, Won-Hyong Lee, Jong-Hwan Kim
Implementation of human-robot VQA interaction system with dynamic memory networks. SMC (2017)
Jin-Man Park, Jong-Hwan Kim
Online recurrent extreme learning machine and its application to time-series prediction. IJCNN (2017)
Deok-Hwa Kim, Gyeong-Moon Park, Yong-Ho Yoo, Si-Jung Ryu, In-Bae Jeong, Jong-Hwan Kim
Realization of task intelligence for service robots in an unstructured environment. Annu. Rev. Control. 44 (2017)
In-Bae Jeong, Woo-Ri Ko, Gyeong-Moon Park, Deok-Hwa Kim, Yong-Ho Yoo, Jong-Hwan Kim
Task Intelligence of Robots: Neural Model-Based Mechanism of Thought and Online Motion Planning. IEEE Trans. Emerg. Top. Comput. Intell. 1 (1) (2017)
Ji-Hyeong Han, Seung-Jae Lee, Jong-Hwan Kim
Behavior Hierarchy-Based Affordance Map for Recognition of Human Intention and Its Application to Human-Robot Interaction. IEEE Trans. Hum. Mach. Syst. 46 (5) (2016)
Min-Joo Kim, Seung-Hwan Baek, Se-Hyoung Cho, Jong-Hwan Kim
Approach to integrate episodic memory into cogency-based behavior planner for robots. SMC (2016)
Ju-Youn Park, Yong-Ho Yoo, Deok-Hwa Kim, Jong-Hwan Kim
Integrated adaptive resonance theory neural model for episodic memory with task memory for task performance of robots. CEC (2016)
Ju-Youn Park, Woo-Ri Ko, Jong-Hwan Kim
Multimedia recommendation system using Adaptive Resonance Theory neural model for digital storytelling. IJCNN (2016)
Deok-Hwa Kim, Jong-Hwan Kim
Effective Background Model-Based RGB-D Dense Visual Odometry in a Dynamic Environment. IEEE Trans. Robotics 32 (6) (2016)
Bum-Soo Yoo, Jong-Hwan Kim
Evolutionary Fuzzy Integral-Based Gaze Control With Preference of Human Gaze. IEEE Trans. Cogn. Dev. Syst. 8 (3) (2016)
Gyeong-Moon Park, Jong-Hwan Kim
Deep Adaptive Resonance Theory for learning biologically inspired episodic memory. IJCNN (2016)
Gyeong-Moon Park, Sanghyun Cho, Jong-Hwan Kim
Biologically-inspired episodic memory model considering the context information. SMC (2016)
Ue-Hwan Kim, Jong-Hwan Kim
A fuzzy expert system for designing customized workout programs. FUZZ-IEEE (2016)
Seung-Hwan Baek, Si-Jeong Ryu, Jong-Hwan Kim
DMQEA-FCM: An approach for preference-based decision support. FUZZ-IEEE (2016)
Se-Hyoung Cho, Seung-Hwan Baek, Deok-Hwa Kim, Yong-Ho Yoo, Sanghyun Cho, Jong-Hwan Kim
Cogent confabulation-based hierarchical behavior planner for task performance. SMC (2016)
Dick Sigmund, Jong-Hwan Kim
Reference point-based nondominated sorting multi-objective quantum-inspired evolutionary algorithm. CEC (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jong-Hwan Kim