Lane Detection and Tracking Based on Fully Convolutional Networks and Probabilistic Graphical Models. - Thanh-Phat Nguyen; Vu-Hoang Tran; Ching-Chun Huang (SMC, 2018)

DAnet: Depth-Aware Network for Crowd Counting. - Van-Su Huynh; Vu-Hoang Tran; Ching-Chun Huang (ICIP, 2019)

Semi-Supervised and Multi-Task Learning for On-Street Parking Space Status Inference. - You-Feng Wu; Vu-Hoang Tran; Ching-Chun Huang (MAPR, 2019)

Iuml: Inception U-Net Based Multi-Task Learning For Density Level Classification And Crowd Density Estimation. - Van-Su Huynh; Vu-Hoang Tran; Ching-Chun Huang (SMC, 2019)

Domain Adaptation Meets Disentangled Representation Learning and Style Transfer. - Vu-Hoang Tran; Ching-Chun Huang (SMC, 2019)

D2NA: Day-To-Night Adaptation for Vision based Parking Management System. - Wei-Zhong Zheng; Vu-Hoang Tran; Ching-Chun Huang (ICASSP, 2020)

DEN: Disentangling and Exchanging Network for Depth Completion. - You-Feng Wu; Vu-Hoang Tran; Ting-Wei Chang; Wei-Chen Chiu; Ching-Chun Huang (ICPR, 2020)

DEN: Disentanglement and Enhancement Networks for Low Illumination Images. - Nelson Chong Ngee Bow; Vu-Hoang Tran; Punchok Kerdsiri; Yuen Peng Loh; Ching-Chun Huang (VCIP, 2020)

Real-Time and Robust System for Counting Movement-Specific Vehicle at Crowded Intersections. - Vu-Hoang Tran; Le-Hoai-Hieu Dang; Chinh-Nghiep Nguyen; Ngoc-Hoang-Lam Le; Khanh-Phong Bui; Lam-Truong Dam; Quang-Thang Le; Dinh-Hiep Huynh (CVPR Workshops, 2021)

Robust System for Counting Movement-Specific Vehicle at Crowded Intersections in HCM City. - Le-Hoai-Hieu Dang; Van-Tin Luu; Vu-Hoang Tran; Ton-Nghia Huynh (ICSSE, 2021)

Depth Embedded and Dense Dilated Convolutional Network for Crowd Density Estimation. - Minh-Nghia Nguyen; Vu-Hoang Tran; Ton-Nghia Huynh (ICSSE, 2021)

Using Deep Learning in The Development of A Welding Practice Training Support System. - Pham-Tuan-Anh Phung; Ngoc-Thien Tran; Vu-Hoang Tran; Ton-Nghia Huynh (ICSSE, 2021)

Blind Super Resolution with Reference Images and Implicit Degradation Representation. - Huu-Phu Do; Po-Chih Hu; Hao-Chien Hsueh; Che-Kai Liu; Vu-Hoang Tran; Ching-Chun Huang (ACCV (4), 2022)

Model Compression via Structural Pruning and Feature Distillation for Accurate Multi-Spectral Object Detection on Edge-Devices. - Egor Poliakov; Van-Tin Luu; Vu-Hoang Tran; Ching-Chun Huang (ICME, 2022)

From Synthetic To Real: Enhancing Deep Learning Models With Generative Adversarial Networks For Efficient Data Utilization In Automatic Retail Stores. - Cong-Ty Dang; Vu-Hoang Tran; Ngoc-Hoang-Lam Le; Ching-Chun Huang (APSIPA ASC, 2023)

A Reliable Feature-Based Framework for Vehicle Tracking in Advanced Driver Assistance Systems. - Ngoc-Quan Ha-Phan; Thanh-Nguyen Truong; Vu-Hoang Tran; Ching-Chun Huang (APSIPA ASC, 2023)

D2D: Divide to Detect, A Scale-Aware Framework for On-Road Object Detection Using IR Camera. - Van-Tin Luu; Vu-Hoang Tran; Egor Poliakov; Ching-Chun Huang (ICCE, 2023)

Efficient Video Retrieval Method Based on Transition Detection and Video Metadata Information. - Nhat-Tuong Do-Tran; Vu-Hoang Tran; Tuan-Ngoc Nguyen; Thanh-Le Nguyen (ICSSE, 2023)

RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network. - Van-Tin Luu; Yon-Lin Cai; Vu-Hoang Tran; Wei-Chen Chiu; Yi-Ting Chen; Ching-Chun Huang (CVPR, 2025)