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2020 – today
- 2023
[j2]Chun-Chi Chen, Yi-Ming Chan:
REDfold: accurate RNA secondary structure prediction using residual encoder-decoder network. BMC Bioinform. 24(1): 122 (2023)- 2020
- [c24]Cheng-En Wu, Jia-Hong Lee, Timmy S. T. Wan, Yi-Ming Chan, Chu-Song Chen:
Merging Well-Trained Deep CNN Models for Efficient Inference. APSIPA 2020: 1594-1600 - [c23]Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen:
Pruning Depthwise Separable Convolutions for MobileNet Compression. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c22]Timmy S. T. Wan, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen:
Co-Compressing and Unifying Deep CNN Models for Efficient Human Face and Speaker Recognition. CVPR Workshops 2019: 461-468 - [c21]Cheng-En Wu, Yi-Ming Chan, Chu-Song Chen:
On Merging MobileNets for Efficient Multitask Inference. EMC2@HPCA/CVPR/ISCA 2019: 16-20 - [c20]Hsin-Rung Chou, Jia-Hong Lee
, Yi-Ming Chan, Chu-Song Chen:
Data-Specific Adaptive Threshold for Face Recognition and Authentication. MIPR 2019: 153-156 - [c19]Steven C. Y. Hung, Jia-Hong Lee, Timmy S. T. Wan, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen:
Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning. ICMR 2019: 339-343 - [c18]Cheng-En Wu, Yi-Ming Chan, Chien-Hung Chen, Wen-Cheng Chen, Chu-Song Chen:
IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector. MMSP 2019: 1-5 - [c17]Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen:
Compacting, Picking and Growing for Unforgetting Continual Learning. NeurIPS 2019: 13647-13657 - [i5]Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen:
Compacting, Picking and Growing for Unforgetting Continual Learning. CoRR abs/1910.06562 (2019) - [i4]Cheng-En Wu, Yi-Ming Chan, Chien-Hung Chen, Wen-Cheng Chen, Chu-Song Chen:
IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector. CoRR abs/1910.06573 (2019) - 2018
- [c16]Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen:
Merging Deep Neural Networks for Mobile Devices. CVPR Workshops 2018: 1686-1694 - [c15]Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen:
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage. IJCAI 2018: 2049-2056 - [c14]Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, Chu-Song Chen:
Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications. MIPR 2018: 162-165 - [i3]Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen:
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage. CoRR abs/1805.04980 (2018) - [i2]Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, Chu-Song Chen:
Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications. CoRR abs/1806.02023 (2018) - [i1]Hsin-Rung Chou, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen:
Data-specific Adaptive Threshold for Face Recognition and Authentication. CoRR abs/1810.11160 (2018) - 2016
- [c13]Yi-Ming Chan, Li-Chen Fu, Pei-Yung Hsiao, Shih-Shinh Huang:
Pedestrian and Vehicle Detection and Tracking with Object-Driven Vanishing Line Estimation. ACCV Workshops (1) 2016: 436-451 - 2015
- [j1]Yi-Shu Lee, Yi-Ming Chan, Li-Chen Fu, Pei-Yung Hsiao:
Near-Infrared-Based Nighttime Pedestrian Detection Using Grouped Part Models. IEEE Trans. Intell. Transp. Syst. 16(4): 1929-1940 (2015) - 2014
- [c12]Han-Hsuan Chen, Chun-Cheng Lin, Wei-Yu Wu, Yi-Ming Chan, Li-Chen Fu, Pei-Yung Hsiao:
Integrating appearance and edge features for on-road bicycle and motorcycle detection in the nighttime. ITSC 2014: 354-359 - [c11]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:
Pedestrian detection system in low illumination conditions through Fusion of image and range data. ITSC 2014: 2253-2254 - 2013
- [c10]Cheng-En Wu, Yi-Ming Chan, Li-Chen Fu, Pei-Yung Hsiao, Shih-Shinh Huang, Han-Hsuan Chen, Pang-Ting Huang, Shao-Chung Hu:
Combining multiple complementary features for pedestrian and motorbike detection. ITSC 2013: 1358-1363 - [c9]Yi-Ming Chan, Li-Chen Fu, Pei-Yung Hsiao, Min-Fang Lo:
Pedestrian detection using histograms of Oriented Gradients of granule feature. Intelligent Vehicles Symposium 2013: 1410-1415 - 2012
- [c8]Yi-Shu Lee, Yi-Ming Chan, Li-Chen Fu, Pei-Yung Hsiao, Li-An Chuang, Yi-Hsiang Chen, Ming-Fang Luo:
Nighttime pedestrian detection by selecting strong near-infrared parts and enhanced spatially local model. ITSC 2012: 1765-1770 - [c7]Yu-Fu Kao, Yi-Ming Chan, Li-Chen Fu, Pei-Yung Hsiao, Shih-Shinh Huang, Cheng-En Wu, Min-Fang Luo:
Comparison of granules features for pedestrian detection. ITSC 2012: 1777-1782 - 2011
- [c6]Yu-Chun Lin, Yi-Ming Chan, Luo-Chieh Chuang, Li-Chen Fu, Shih-Shinh Huang, Pei-Yung Hsiao, Min-Fang Luo:
Near-infrared based nighttime pedestrian detection by combining multiple features. ITSC 2011: 1549-1554 - 2010
- [c5]Bin-Feng Lin, Yi-Ming Chan, Li-Chen Fu, Pei-Yung Hsiao, Li-An Chuang, Shih-Shinh Huang:
Incorporating appearance and edge features for vehicle detection in the blind-spot area. ITSC 2010: 869-874
2000 – 2009
- 2009
- [c4]Ssu-Ying Hung, Yi-Ming Chan, Bin-Feng Lin, Li-Chen Fu, Pei-Yung Hsiao, Shin-Shinh Huang:
Tracking and detection of lane and vehicle integrating lane and vehicle information using PDAF tracking model. ITSC 2009: 1-6 - 2007
- [c3]Yi-Ming Chan, Shih-Shinh Huang, Li-Chen Fu, Pei-Yung Hsiao:
Vehicle Detection under Various Lighting Conditions by Incorporating Particle Filter. ITSC 2007: 534-539 - [c2]Chan-Yu Huang, Shih-Shinh Huang, Yi-Ming Chan, Yi-Hang Chiu, Li-Chen Fu, Pei-Yung Hsiao:
Driver Assistance System Using Integrated Information from Lane Geometry and Vehicle Direction. ITSC 2007: 986-991 - 2006
- [c1]Jyun-Fan Tsai, Shih-Shinh Huang, Yi-Ming Chan, Chan-Yu Huang, Li-Chen Fu, Pei-Yung Hsiao:
Road detection and classification in urban environments using conditional random field models. ITSC 2006: 963-967
Coauthor Index
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