Vibration-Based Surface Recognition for Smartphones. - Jungchan Cho; Inhwan Hwang; Songhwai Oh (RTCSA, 2012)

Privacy-Aware Communication for Smartphones Using Vibration. - Inhwan Hwang; Jungchan Cho; Songhwai Oh (RTCSA, 2012)

Action Chart: A Representation for Efficient Recognition of Complex Activity. - Hyung Jin Chang; Jiyun Kim; Jungchan Cho; Songhwai Oh; Kwang Moo Yi; Jin Young Choi 002 (BMVC, 2013)

Procrustean Normal Distribution for Non-rigid Structure from Motion. - Minsik Lee 001; Jungchan Cho; Chong-Ho Choi; Songhwai Oh (CVPR, 2013)

EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modeling. - Jungchan Cho; Minsik Lee 001; Chong-Ho Choi; Songhwai Oh (Comput. Vis. Image Underst., 2013)

Selective generation of Gabor features for fast face recognition on mobile devices. - Jiyong Oh; Sang-Il Choi; Chunghoon Kim; Jungchan Cho; Chong-Ho Choi (Pattern Recognit. Lett., 2013)

Robust action recognition using local motion and group sparsity. - Jungchan Cho; Minsik Lee 001; Hyung Jin Chang; Songhwai Oh (Pattern Recognit., 2014)

VibeComm: Radio-Free Wireless Communication for Smart Devices Using Vibration. - Inhwan Hwang; Jungchan Cho; Songhwai Oh (Sensors, 2014)

Consensus of Non-rigid Reconstructions. - Minsik Lee 001; Jungchan Cho; Songhwai Oh (CVPR, 2016)

Complex Non-rigid 3D Shape Recovery Using a Procrustean Normal Distribution Mixture Model. - Jungchan Cho; Minsik Lee 001; Songhwai Oh (Int. J. Comput. Vis., 2016)

VibePhone: efficient surface recognition for smartphones using vibration. - Jungchan Cho; Inhwan Hwang; Songhwai Oh (Pattern Anal. Appl., 2016)

Single image 3D human pose estimation using a procrustean normal distribution mixture model and model transformation. - Jungchan Cho; Minsik Lee 001; Songhwai Oh (Comput. Vis. Image Underst., 2017)

Procrustean Normal Distribution for Non-Rigid Structure from Motion. - Minsik Lee 001; Jungchan Cho; Songhwai Oh (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Non-rigid surface recovery with a robust local-rigidity prior. - Geonho Cha; Minsik Lee 001; Jungchan Cho; Songhwai Oh (Pattern Recognit. Lett., 2018)

Deep pose consensus networks. - Geonho Cha; Minsik Lee 001; Jungchan Cho; Songhwai Oh (Comput. Vis. Image Underst., 2019)

Building a Compact Convolutional Neural Network for Embedded Intelligent Sensor Systems Using Group Sparsity and Knowledge Distillation. - Jungchan Cho; Minsik Lee 001 (Sensors, 2019)

Spatially Variant Convolutional Autoencoder Based on Patch Division for Pill Defect Detection. - Sora Kim; Youngjae Jo; Jungchan Cho; Jiwoo Song; Younyoung Lee; Minsik Lee 001 (IEEE Access, 2020)

Robust Human Pose Estimation for Rotation via Self-Supervised Learning. - Kimin Yun; Jongyoul Park; Jungchan Cho (IEEE Access, 2020)

Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition Using a Three-Dimensional Convolutional Neural Network. - Jungchan Cho; Hyoseok Hwang (Sensors, 2020)

The Dataset and Baseline Models to Detect Human Postural States Robustly against Irregular Postures. - Kangmin Bae; Kimin Yun; Jungchan Cho; Yuseok Bae (AVSS, 2021)

Improved Human-Object Interaction Detection Through On-the-Fly Stacked Generalization. - Geonu Lee; Kimin Yun; Jungchan Cho (IEEE Access, 2021)

Robust Pedestrian Attribute Recognition Using Group Sparsity for Occlusion Videos. - Geonu Lee; Kimin Yun; Jungchan Cho (CoRR, 2021)

Reconstruct as Far as You Can: Consensus of Non-Rigid Reconstruction from Feasible Regions. - Geonho Cha; Minsik Lee 001; Jungchan Cho; Songhwai Oh (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Synthetic Source Universal Domain Adaptation through Contrastive Learning. - Jungchan Cho (Sensors, 2021)

Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. - Seunggyu Chang; Jungchan Cho; Songhwai Oh (AAAI, 2022)

Background-Aware Robust Context Learning for Weakly-Supervised Temporal Action Localization. - Jinah Kim; Jungchan Cho (IEEE Access, 2022)

STDP-Net: Improved Pedestrian Attribute Recognition Using Swin Transformer and Semantic Self-Attention. - Geonu Lee; Jungchan Cho (IEEE Access, 2022)

Occluded Pedestrian-Attribute Recognition for Video Sensors Using Group Sparsity. - Geonu Lee; Kimin Yun; Jungchan Cho (Sensors, 2022)

Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image. - Go-Eun Lee; Seon Ho Kim; Jungchan Cho; Sang Tae Choi; Sang-Il Choi (MICCAI (5), 2023)

Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. - Sunoh Kim; Jungchan Cho; Joonsang Yu; Youngjoon Yoo; Jin Young Choi 002 (AAAI, 2024)

Improving Visual Pedestrian Attributes Discernment With Textual Reconstruction. - Yejun Lee; Jinah Kim; Jungchan Cho; Jhonghyun An (IEEE Access, 2024)

Game-Theoretic Joint Incentive and Cut Layer Selection Mechanism in Split Federated Learning. - Joohyung Lee 001; Jungchan Cho; Wonjun Lee 004; Mohamed Seif; H. Vincent Poor (CoRR, 2024)

Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning. - Joohyung Lee 001; Mohamed Seif; Jungchan Cho; H. Vincent Poor (IEEE Netw., 2024)

Optimizing Privacy and Latency Tradeoffs in Split Federated Learning Over Wireless Networks. - Joohyung Lee 001; Mohamed Seif; Jungchan Cho; H. Vincent Poor (IEEE Wirel. Commun. Lett., 2024)

Text-guided cross-position attention for image analysis: Case of medical image. - Go-Eun Lee; Sang Tae Choi; Seon Ho Kim; Jaewoo Chung; Jungchan Cho; Sang-Il Choi (Comput. Biol. Medicine, 2025)

Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration. - Juhan Park; Kyungjae Lee; Hyung Jin Chang; Jungchan Cho (CoRR, 2025)

A Lyapunov Optimization Enabled Energy-Efficient Dynamic Cut Layer Control Mechanism. - Joohyung Lee 001; Jungchan Cho; H. Vincent Poor (IEEE Wirel. Commun. Lett., 2025)

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments. - Woonsang Kang; Joohyung Lee; Seungjun Kim; Jungchan Cho; Yoonseon Oh (CoRR, 2025)

Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection. - Taeheon Lim; Joohyung Lee; Kyungjae Lee; Jungchan Cho (CoRR, 2025)