International Publications
* IF : Impact Factor
† Corresponding author
* IF : Impact Factor
† Corresponding author
Taeheon Lim, Joohyung Lee, Kyungjae Lee†, and Jungchan Cho†, "Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection,"
Under Review
Joohyung Lee, Jungchan Cho†, Wonjun Lee, Mohamed Seif, and H Vincent Poor, "Game-Theoretic Joint Incentive and Cut Layer Selection Mechanism in Split Federated Learning,"
Under Review
Juhan Park, Kyungjae Lee†, Hyung Jin Chang, and Jungchan Cho†, "Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration,"
Under Review
Go-Eun Lee, Sang Tae Choi, Seon Ho Kim, Jaewoo Chung, Jungchan Cho†, and Sang-Il Choi†, "Text-guided cross-position attention for image analysis: Case of medical image,"
Computers in Biology and Medicine (CBM), vol. 193, no. 1, pp. 110297, Jul. 2025. [SCI/E, Q1, IF: 7-Top 2.3%]
Joohyung Lee*, Jungchan Cho*†, and H. Vincent Poor, "A Lyapunov Optimization Enabled Energy-Efficient Dynamic Cut Layer Control Mechanism,"
IEEE Wireless Communications Letters, vol. 14, no. 6, pp. 1782-1785, Jun. 2025. [SCI/E, Q1]
* indicates co-first authors.
Yoonjung Heo, Go-Eun Lee, Jungchan Cho†, and Sang-Il Choi†, "Deep Learning-Based Aortic Diameter Measurement in Traumatic Hemorrhage Using Shallow Attention Network: A Path Forward,"
Diagnostics, May 2025. [SCI/E, Q1]
Joohyung Lee, Mohamed Seif, Jungchan Cho†, and H. Vincent Poor, "Optimizing Privacy and Latency Tradeoffs in Split Federated Learning over Wireless Networks,"
IEEE Wireless Communications Letters, vol. 38, no. 6, pp. 388-395, Dec. 2024. [SCI/E, Q1]
Joohyung Lee, Mohamed Seif, Jungchan Cho†, and H. Vincent Poor, "Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning,"
IEEE Network , vol. 38, no. 6, pp. 388-395, Nov. 2024. [SCI, Q1, IF: 9.3-Top 4.7%]
Yejun Lee, Jinah Kim, Jungchan Cho†, and Jhonghyun An†, "Improving Visual Pedestrian Attributes Discernment with Textual Reconstruction,"
IEEE Access, vol. 12, no. 1, pp. 16417 - 164189, Nov. 2024. [SCI/E, Q2]
Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, and Jin Young Choi, "Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding,"
in Proc. of the AAAI Conference on Artificial Intelligence (AAAI), Feb. 2024. [Top-tier Conference]
Go-Eun Lee, Seon Ho Kim, Jungchan Cho, Sangtae Choi†, and Sang-il Choi†, "Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image,"
in Proc. of the Medical Image Computing and Computer Assisted Intervention Society (MICCAI), Oct. 2023. [Top-tier Conference]
Go-Eun Lee, Jungchan Cho†, and Sang-il Choi†, "Shallow and Reverse Attention Network for Colon Polyp Segmentation,"
Scientific Reports, vol. 13, no. 1, pp. 15243, Sep. 2023.
Geonu Lee, Kimin Yun, Jungchan Cho†, "Occluded Pedestrian-Attribute Recognition for Video Sensors Using Group Sparsity,"
Sensors, vol 22, no. 17, pp. 6626, Sep. 2022.
Geonu Lee and Jungchan Cho†, "STDP-Net: Improved Pedestrian Attribute Recognition Using Swin Transformer and Semantic Self-Attention,"
IEEE ACCESS, vol. 10, no.1, pp. 82656 - 82667, Aug. 2022.
Jinah Kim and Jungchan Cho†, "Background-Aware Robust Context Learning for Weakly-Supervised Temporal Action Localization,"
IEEE ACCESS, vol. 10, no. 1, pp. 65315 - 65325, Jun. 2022.
Seunggyu Chang, Jungchan Cho, and Songhwai Oh, "Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucination,"
in Proc. of the AAAI Conference on Artificial Intelligence (AAAI), Feb. 2022. [Top-tier Conference]
Jungchan Cho†, "Synthetic Source Universal Domain Adaptation through Contrastive Learning,"
Sensors, vol. 21, no. 22, pp. 7539, Nov. 2021.
Kangmin Bae, Kimin Yun, Jungchan Cho, and Yuseok Base, "The Dataset and Baseline Models to Detect Human Postural States Robustly against Irregular Postures,"
in Proc. of the IEEE Int'l Conf on Advanced Video and Signal-based Surveillance (AVSS), Nov. 2021.
Geonu Lee, Kimin Yun, and Jungchan Cho†, "Improved Human-Object Interaction Detection through On-the-Fly Stacked Generalization,"
IEEE ACCESS, vol. 9, no. 1, pp. 34251-34263, Feb. 2021.
[SCIE, IF: 3.745-Top 22.115%]
Geonho Cha, Minsik Lee†, Jungchan Cho, and Songhwai Oh, "Reconstruct as Far as You Can: Consensus of Non-Rigid Reconstruction from Feasible Regions,"
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 43, no. 2, pp. 623-637, Feb. 2021.
[SCI, IF: 17.861-Top 0.37%]
Sora Kim, Youngjae Jo, Jungchan Cho, Jiwoo Song, Younyoung Lee, and Minsik Lee†, "Spatially Variant Convolutional Autoencoder Based on Patch Division for Pill Defect Detection,"
IEEE ACCESS , vol. 8, no. 1, pp. 216781 - 216792, Dec. 2020.
[SCIE, IF: 4.098-Top 14.52%]
Jungchan Cho and Hyoseok Hwang†, "Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition using a Three-Dimensional Convolutional Neural Network,"
Sensors, vol. 20, no. 12, pp. 3491, Jun. 2020.
[SCIE, IF: 3.301-Top 23.77%]
Bhishan Bhandari, Geonu Lee, and Jungchan Cho†, "Body-Part-Aware and Multitask-Aware Single-Image-Based Action Recognition,"
Applied Sciences, vol. 10, no. 4, pp. 1531-1548, Feb. 2020.
[SCIE, IF: 2.474]
Kimin Yun, Jongyoul Park, and Jungchan Cho†, "Robust Human Pose Estimation for Rotation via Self-Supervised Learning,"
IEEE ACCESS, vol. 8, no. 1, pp. 32502 - 32517, Feb. 2020.
[SCIE, IF: 4.098-Top 14.52%]
Jungchan Cho and Minsik Lee†, "Building a Compact Convolutional Neural Network for Embedded Intelligent Sensor Systems Using Group Sparsity and Knowledge Distillation,"
Sensors, vol. 19, no. 19, pp. 4307, Oct. 2019.
[SCIE, IF: 3.301-Top 23.77%]
Geonho Cha, Minsik Lee†, Jungchan Cho, and Songhwai Oh, "Deep Pose Consensus Networks,"
Computer Vision and Image Understanding (CVIU), vol. 182, pp. 64-70, May 2019.
[SCI, IF: 2.645]
Geonho Cha, Minsik Lee†, Jungchan Cho, and Songhwai Oh, "Non-Rigid Surface Recovery with a Robust Local-Rigidity Prior,"
Pattern Recognition Letters (PRL), vol. 110, pp. 51-57, Jul. 2018.
[SCIE, IF:2.810]
Minsik Lee†, Jungchan Cho, and Songhwai Oh, "Procrustean Normal Distribution for Non-Rigid Structure from Motion,"
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 7, pp. 1388-1400, Jul. 2017.
[SCI, IF: 17.730-Top 0.19%]
Jungchan Cho, Minsik Lee, and Songhwai Oh†, "Single Image 3D Human Pose Estimation Using a Procrustean Normal Distribution Mixture Model and Model Transformation,"
Computer Vision and Image Understanding (CVIU), vol. 155, pp. 150–161, Feb. 2017.
[SCI, IF: 2.645]
Minsik Lee*, Jungchan Cho*, and Songhwai Oh, "Consensus of Non-Rigid Reconstructions,"
in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2016.
(Oral Presentation, Acceptance Rate: 3.9%) [Top-tier Conference]
* indicates equal contribution (co-first authors).
Jungchan Cho, Minsik Lee, and Songhwai Oh†, "Complex Non-Rigid 3D Shape Recovery Using a Procrustean Normal Distribution Mixture Model,"
International Journal of Computer Vision (IJCV), vol. 117, no. 3, pp. 226-246, May 2016.
[SCI, IF: 11.541-Top 0.38%]
Jungchan Cho, Inhwan Hwang, and Songhwai Oh†, "VibePhone: Efficient Surface Recognition for Smartphones Using Vibration,"
Pattern Analysis and Applications (PAA), vol. 19, no. 1, pp. 251-265, Feb. 2016.
[SCIE, IF:1.410]
Inhwan Hwang, Jungchan Cho, and Songhwai Oh†, "VibeComm: Radio-Free Wireless Communication for Smart Devices Using Vibration,"
Sensors, vol. 14, no. 11, pp. 21151-21173, Nov. 2014.
[SCIE, IF: 3.301-TOP 23.77%]
Jungchan Cho, Minsik Lee, Hyung Jin Chang, and Songhwai Oh†, "Robust Action Recognition Using Local Motion and Group Sparsity,"
Pattern Recognition (PR), vol. 47, no. 5, pp. 1813–1825, May 2014.
[SCI, IF: 5.898-Top 11.14%]
Jungchan Cho, Minsik Lee†, Chong-Ho Choi, and Songhwai Oh, "EM-GPA: Generalized Procrustes Analysis with Hidden Variables for 3D Shape Modeling,"
Computer Vision and Image Understanding (CVIU), vol. 117, no. 11, pp. 1549–1559, Nov. 2013.
[SCI, IF: 2.645]
Jiyong Oh, Sang-Il Choi, Chunghoon Kim†, Jungchan Cho, and Chong-Ho Choi, "Selective Generation of Gabor Features for Fast Face Recognition on Mobile Devices,"
Pattern Recognition Letters (PRL), vol. 34, no. 13, pp. 1540-1547, Oct. 2013.
[SCIE, IF:2.810]
Hyung Jin Chang, Jiyun Kim, Jungchan Cho, Songhwai Oh, Kwang Moo Yi, and Jin Young Choi, "Action Chart: A Representation for Efficient Recognition of Complex Activities,"
in Proc. of the British Machine Vision Conference (BMVC), Sep. 2013.
Minsik Lee, Jungchan Cho, Chong-Ho Choi, and Songhwai Oh, "Procrustean Normal Distribution for Non-Rigid Structure from Motion,"
in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2013. [Top-tier Conference]
(Oral Presentation, Acceptance Rate: 3.2%)
Inhwan Hwang, Jungchan Cho, and Songhwai Oh, "Privacy-Aware Communication for Smartphones Using Vibration,"
in Proc. of the International Workshop on Cyber-Physical Systems, Networks, and Applications (CPSNA) in conjunction with the IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Aug. 2012.
Jungchan Cho, Inhwan Hwang, and Songhwai Oh, "Vibration-Based Surface Recognition for Smartphones,"
in Proc. of the International Workshop on Cyber-Physical Systems, Networks, and Applications (CPSNA) in conjunction with the IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Aug. 2012.
Jungchan Cho, Inhwan Hwang, Yoonseon Oh and Songhwai Oh, "A Context-Aware History Map of User Activities," in Proc. of the IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) Work-In-Progress, Apr. 2012.
Jinah Kim and Jungchan Cho, "A Study on Limitations of Temporal Video Localization Based on Point-Level Annotation and an Improvement Method Through Point Distribution Modeling," Korean Institute of Next Generation Computing, Feb. 2023.
Geonu Lee and Jungchan Cho, "Performance Analysis of Human-Object-Interaction with Various Input Images and Training Methods," Summer Annual Conference of IEIE, Aug. 2020.
Jung-Ik Jang and Jungchan Cho, "Increasing the Receptive Field of PPDM with Dilated Convolutions," Summer Annual Conference of IEIE, Aug. 2020.
Jungchan Cho, "Recent Trends in Human Pose Estimation Based on a Single Image," Korean Institute of Next Generation Computing, Oct. 2019.
Hyunjun Kim, Jungchan Cho, and Songhwai Oh, "Surface recognition of small robots based on vibration," Korea Robotics Society Annual Conference, Jan. 2016.
Jiyun Kim, Hyung Jin Chang, Jungchan Cho, Songhwai Oh, and Jin Young Choi , "SNU-Dance Dataset for Development Complex Activity Recognition Algorithm," Information and Control Symposium, Oct. 2012.
Jungchan Cho, Jiyong Oh, and Chong-Ho Choi, "Face Recognition using Composite Vectors of Gabor Features," Summer Annual Conference of IEIE, Jun. 2011.
듀얼 어텐션 모델 기반 용종 자동 검출 장치(AUTOMATIC POLYP DETECTION DEVICE BASED ON DUAL ATTENTION MODEL), 등록번호: 10-2849374, 2025년8월 19
음식과 관련된 정보를 처리하기 위한 전자 장치 및 방법(ELECTRONIC DEVICE AND METHOD FOR PROCESSING INFORMATION ASSOCIATED WITH FOOD), 등록번호: US10803315 B2, 2020년 10월 13일
사용자 발화를 처리하는 전자 장치 및 서버 (ELECTRONIC APPARATUS AND SERVER FOR PROCESSING USER UTTERANCE), 등록번호: 10-2431817, 2022년 8월 8일
이미지의 인식된 장면에 기반하여 이미지를 처리하는 방법 및 이를 위한 전자 장치 (METHOD FOR PROCESSING IMAGE BASED ON SCENE RECOGNITION OF IMAGE AND ELECTRONIC DEVICE THEREFOR), 등록번호: 10-2661983, 2024넌 4월 25일