ADM-HIPaR: An efficient background subtraction approach. - Thien Huynh-The; Sungyoung Lee 002; Cam-Hao Hua (AVSS, 2017)

Improving NIC algorithm using different binary structure elements for multi-modal foreground detection. - Thien Huynh-The; Cam-Hao Hua; Sungyoung Lee 002 (IMCOM, 2017)

Convolutional Networks with Bracket-Style Decoder for Semantic Scene Segmentation. - Cam-Hao Hua; Thien Huynh-The; Sungyoung Lee 002 (SMC, 2018)

Selective bit embedding scheme for robust blind color image watermarking. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Tae Ho Hur; Jae Hun Bang; Dohyeong Kim; Muhammad Bilal Amin; Byeong Ho Kang 001; Hyonwoo Seung; Sungyoung Lee 001 (Inf. Sci., 2018)

Hierarchical topic modeling with pose-transition feature for action recognition using 3D skeleton data. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Tae Ho Hur; Jae Hun Bang; Dohyeong Kim; Muhammad Bilal Amin; Byeong Ho Kang 001; Hyonwoo Seung; Soo-Yong Shin; Eun-Soo Kim; Sungyoung Lee 001 (Inf. Sci., 2018)

Robust Image Watermarking Framework Powered by Convolutional Encoder-Decoder Network. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (DICTA, 2019)

Retinal Vessel Segmentation using Round-wise Features Aggregation on Bracket-shaped Convolutional Neural Networks. - Cam-Hao Hua; Thien Huynh-The; Sungyoung Lee 002 (EMBC, 2019)

Visualizing Inertial Data For Wearable Sensor Based Daily Life Activity Recognition Using Convolutional Neural Network. - Thien Huynh-The; Cam-Hao Hua; Dong-Seong Kim 002 (EMBC, 2019)

Learning Action Images Using Deep Convolutional Neural Networks For 3D Action Recognition. - Thien Huynh-The; Cam-Hao Hua; Dong-Seong Kim 002 (SAS, 2019)

Locally Statistical Dual-Mode Background Subtraction Approach. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (IEEE Access, 2019)

Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification. - Cam-Hao Hua; Thien Huynh-The; Kiyoung Kim; Seung-Young Yu; Thuong Le-Tien; Gwang Hoon Park; Jae Hun Bang; Wajahat Ali Khan; Sung-Ho Bae; Sungyoung Lee 001 (Int. J. Medical Informatics, 2019)

Space-Time Skeletal Analysis with Jointly Dual-Stream ConvNet for Action Recognition. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (DICTA, 2020)

DRAN: Densely Reversed Attention based Convolutional Network for Diabetic Retinopathy Detection. - Cam-Hao Hua; Thien Huynh-The; Sungyoung Lee 002 (EMBC, 2020)

Learning Constellation Map with Deep CNN for Accurate Modulation Recognition. - Van-Sang Doan; Thien Huynh-The; Cam-Hao Hua; Quoc-Viet Pham; Dong-Seong Kim 002 (GLOBECOM, 2020)

Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment. - Thien Huynh-The; Van-Sang Doan; Cam-Hao Hua; Quoc-Viet Pham; Dong-Seong Kim 002 (GLOBECOM, 2020)

Learning Geometric Features with Dual-stream CNN for 3D Action Recognition. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (ICASSP, 2020)

Deep Learning for Constellation-based Modulation Classification under Multipath Fading Channels. - Thien Huynh-The; Cam-Hao Hua; Van-Sang Doan; Quoc-Viet Pham; Toan-Van Nguyen; Dong-Seong Kim 002 (ICTC, 2020)

Convolutional Network with Densely Backward Attention for Facial Expression Recognition. - Cam-Hao Hua; Thien Huynh-The; Hyunseok Seo; Sungyoung Lee 002 (IMCOM, 2020)

3D Action Recognition Exploiting Hierarchical Deep Feature Fusion Model. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Jae-Woo Kim; Seung-Hwan Kim 003; Dong-Seong Kim 002 (IMCOM, 2020)

Exploiting a low-cost CNN with skip connection for robust automatic modulation classification. - Thien Huynh-The; Cam-Hao Hua; Jae-Woo Kim; Seung-Hwan Kim 003; Dong-Seong Kim 002 (WCNC, 2020)

MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification. - Thien Huynh-The; Cam-Hao Hua; Quoc-Viet Pham; Dong-Seong Kim 002 (IEEE Commun. Lett., 2020)

Learning 3D spatiotemporal gait feature by convolutional network for person identification. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (Neurocomputing, 2020)

Cross-Attentional Bracket-shaped Convolutional Network for semantic image segmentation. - Cam-Hao Hua; Thien Huynh-The; Sung-Ho Bae; Sungyoung Lee 002 (Inf. Sci., 2020)

Image representation of pose-transition feature for 3D skeleton-based action recognition. - Thien Huynh-The; Cam-Hao Hua; Trung-Thanh Ngo; Dong-Seong Kim 002 (Inf. Sci., 2020)

Encoding Pose Features to Images With Data Augmentation for 3-D Action Recognition. - Thien Huynh-The; Cam-Hao Hua; Dong-Seong Kim 002 (IEEE Trans. Ind. Informatics, 2020)

"Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images". - Mugahed A. Al-antari; Cam-Hao Hua; Jaehun Bang; Sungyoung Lee 001 (Appl. Intell., 2021)

Accurate Deep CNN-Based Waveform Recognition for Intelligent Radar Systems. - Thien Huynh-The; Cam-Hao Hua; Van-Sang Doan; Quoc-Viet Pham; Dong-Seong Kim 002 (IEEE Commun. Lett., 2021)

Physical Activity Recognition With Statistical-Deep Fusion Model Using Multiple Sensory Data for Smart Health. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (IEEE Internet Things J., 2021)

Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images. - Cam-Hao Hua; Kiyoung Kim; Thien Huynh-The; Jong In You; Seung-Young Yu; Thuong Le-Tien; Sung-Ho Bae; Sungyoung Lee 001 (IEEE J. Biomed. Health Informatics, 2021)

Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network. - Thien Huynh-The; Van-Sang Doan; Cam-Hao Hua; Quoc-Viet Pham; Toan-Van Nguyen; Dong-Seong Kim 002 (IEEE Wirel. Commun. Lett., 2021)

CLEB: A Continual Learning Energy Bidding Framework For An Energy Market Bidding Application. - Tri D. T. Nguyen; Cam-Hao Hua; Ubaid Ur Rehman 002; Musarrat Hussain; Sungyoung Lee 001 (AICCC, 2023)

A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions. - Muhammad Asif Razzaq; Jamil Hussain; Jaehun Bang; Cam-Hao Hua; Fahad Ahmed Satti; Ubaid Ur Rehman 002; Hafiz Syed Muhammad Bilal; Seong Tae Kim 001; Sungyoung Lee 001 (Sensors, 2023)