Road detection and classification in urban environments using conditional random field models. - Jyun-Fan Tsai; Shih-Shinh Huang; Yi-Ming Chan; Chan-Yu Huang; Li-Chen Fu; Pei-Yung Hsiao (ITSC, 2006)

Vehicle Detection under Various Lighting Conditions by Incorporating Particle Filter. - Yi-Ming Chan; Shih-Shinh Huang; Li-Chen Fu; Pei-Yung Hsiao (ITSC, 2007)

Driver Assistance System Using Integrated Information from Lane Geometry and Vehicle Direction. - Chan-Yu Huang; Shih-Shinh Huang; Yi-Ming Chan; Yi-Hang Chiu; Li-Chen Fu; Pei-Yung Hsiao (ITSC, 2007)

Tracking and detection of lane and vehicle integrating lane and vehicle information using PDAF tracking model. - Ssu-Ying Hung; Yi-Ming Chan; Bin-Feng Lin; Li-Chen Fu; Pei-Yung Hsiao; Shin-Shinh Huang (ITSC, 2009)

Incorporating appearance and edge features for vehicle detection in the blind-spot area. - Bin-Feng Lin; Yi-Ming Chan; Li-Chen Fu; Pei-Yung Hsiao; Li-An Chuang; Shih-Shinh Huang (ITSC, 2010)

Near-infrared based nighttime pedestrian detection by combining multiple features. - Yu-Chun Lin; Yi-Ming Chan; Luo-Chieh Chuang; Li-Chen Fu; Shih-Shinh Huang; Pei-Yung Hsiao; Min-Fang Luo (ITSC, 2011)

Comparison of granules features for pedestrian detection. - Yu-Fu Kao; Yi-Ming Chan; Li-Chen Fu; Pei-Yung Hsiao; Shih-Shinh Huang; Cheng-En Wu; Min-Fang Luo (ITSC, 2012)

Nighttime pedestrian detection by selecting strong near-infrared parts and enhanced spatially local model. - Yi-Shu Lee; Yi-Ming Chan; Li-Chen Fu; Pei-Yung Hsiao; Li-An Chuang; Yi-Hsiang Chen; Ming-Fang Luo (ITSC, 2012)

Combining multiple complementary features for pedestrian and motorbike detection. - Cheng-En Wu; Yi-Ming Chan; Li-Chen Fu; Pei-Yung Hsiao; Shih-Shinh Huang; Han-Hsuan Chen; Pang-Ting Huang; Shao-Chung Hu (ITSC, 2013)

Pedestrian detection using histograms of Oriented Gradients of granule feature. - Yi-Ming Chan; Li-Chen Fu; Pei-Yung Hsiao; Min-Fang Lo (Intelligent Vehicles Symposium, 2013)

Integrating appearance and edge features for on-road bicycle and motorcycle detection in the nighttime. - Han-Hsuan Chen; Chun-Cheng Lin; Wei-Yu Wu; Yi-Ming Chan; Li-Chen Fu; Pei-Yung Hsiao (ITSC, 2014)

Pedestrian detection system in low illumination conditions through Fusion of image and range data. - Pang-Ting Huang; Yi-Ming Chan; Li-Chen Fu; Shih-Shinh Huang; Pei-Yung Hsiao; Wei-Yu Wu; Chun-Cheng Lin; Kuo-Ching Chang; Ping-Min Hsu (ITSC, 2014)

Near-Infrared-Based Nighttime Pedestrian Detection Using Grouped Part Models. - Yi-Shu Lee; Yi-Ming Chan; Li-Chen Fu; Pei-Yung Hsiao (IEEE Trans. Intell. Transp. Syst., 2015)

Pedestrian and Vehicle Detection and Tracking with Object-Driven Vanishing Line Estimation. - Yi-Ming Chan; Li-Chen Fu; Pei-Yung Hsiao; Shih-Shinh Huang (ACCV Workshops (1), 2016)

Merging Deep Neural Networks for Mobile Devices. - Yi-Min Chou; Yi-Ming Chan; Jia-Hong Lee; Chih-Yi Chiu; Chu-Song Chen (CVPR Workshops, 2018)

Unifying and Merging Well-trained Deep Neural Networks for Inference Stage. - Yi-Min Chou; Yi-Ming Chan; Jia-Hong Lee; Chih-Yi Chiu; Chu-Song Chen (IJCAI, 2018)

Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications. - Jia-Hong Lee; Yi-Ming Chan; Ting-Yen Chen; Chu-Song Chen (MIPR, 2018)

Co-Compressing and Unifying Deep CNN Models for Efficient Human Face and Speaker Recognition. - Timmy S. T. Wan; Jia-Hong Lee; Yi-Ming Chan; Chu-Song Chen (CVPR Workshops, 2019)

On Merging MobileNets for Efficient Multitask Inference. - Cheng-En Wu; Yi-Ming Chan; Chu-Song Chen (EMC2@HPCA/CVPR/ISCA, 2019)

Data-Specific Adaptive Threshold for Face Recognition and Authentication. - Hsin-Rung Chou; Jia-Hong Lee; Yi-Ming Chan; Chu-Song Chen (MIPR, 2019)

Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning. - Steven C. Y. Hung; Jia-Hong Lee; Timmy S. T. Wan; Chien-Hung Chen; Yi-Ming Chan; Chu-Song Chen (ICMR, 2019)

IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector. - Cheng-En Wu; Yi-Ming Chan; Chien-Hung Chen; Wen-Cheng Chen; Chu-Song Chen (MMSP, 2019)

Compacting, Picking and Growing for Unforgetting Continual Learning. - Steven C. Y. Hung; Cheng-Hao Tu 001; Cheng-En Wu; Chien-Hung Chen; Yi-Ming Chan; Chu-Song Chen (NeurIPS, 2019)

Merging Well-Trained Deep CNN Models for Efficient Inference. - Cheng-En Wu; Jia-Hong Lee; Timmy S. T. Wan; Yi-Ming Chan; Chu-Song Chen (APSIPA, 2020)

Pruning Depthwise Separable Convolutions for MobileNet Compression. - Cheng-Hao Tu 001; Jia-Hong Lee; Yi-Ming Chan; Chu-Song Chen (IJCNN, 2020)

REDfold: accurate RNA secondary structure prediction using residual encoder-decoder network. - Chun-Chi Chen; Yi-Ming Chan (BMC Bioinform., 2023)

REDalign: accurate RNA structural alignment using residual encoder-decoder network. - Chun-Chi Chen; Yi-Ming Chan; Hyundoo Jeong (BMC Bioinform., 2024)