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2020 – today
- 2024
[c24]Yu-Shu Ni, Han-Chun Chen, Chia-Chi Tsai, Chih-Cheng Chen, Po-Yu Chen, Hsien-Kai Kuo, Jun-Ying Hunag, Po-Chi Hu, Jenq-Neng Hwang, Jiun-In Guo:
Summary of the 2024 Low-Power Efficient and Accurate Facial-Landmark Detection for Embedded Systems. ICME Workshops 2024: 1-6- [i11]Hao-Wei Chen, Yu-Syuan Xu, Kelvin C. K. Chan, Hsien-Kai Kuo, Chun-Yi Lee, Ming-Hsuan Yang:
AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks with Adapters. CoRR abs/2404.11475 (2024) - 2023
- [c23]Hao-Wei Chen, Yu-Syuan Xu, Min-Fong Hong, Yi-Min Tsai, Hsien-Kai Kuo, Chun-Yi Lee:
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution. CVPR 2023: 18257-18267 - [c22]Yu-Shu Ni, Chia-Chi Tsai, Chih-Cheng Chen, Hsien-Kai Kuo, Po-Yu Chen, Po-Chi Hu, Ted T. Kuo, Jenq-Neng Hwang, Jiun-In Guo:
Summary of the 2023 Low-Power Deep Learning Object Detection and Semantic Segmentation Multitask Model Compression Competition for Traffic Scene in Asian Countries. ICME Workshops 2023: 34-39 - [i10]Hao-Wei Chen, Yu-Syuan Xu, Min-Fong Hong, Yi-Min Tsai, Hsien-Kai Kuo, Chun-Yi Lee:
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution. CoRR abs/2303.16513 (2023) - 2022
- [c21]Bo-Xun Wu, Jia-Jheng Lin, Hsien-Kai Kuo, Po-Yu Chen, Jiun-In Guo:
Radar and Camera Fusion for Vacant Parking Space Detection. AICAS 2022: 242-245 - [c20]Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hung-Jen Chen, Kevin Jou, K. S. Venkatesh, Yong-Sheng Chen:
Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction. BMVC 2022: 220 - [c19]Andrey Ignatov, Radu Timofte
, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian:
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 130-152 - [c18]Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. ECCV Workshops (2) 2022: 729-746 - [c17]Yu-Shu Ni, Chia-Chi Tsai, Chih-Cheng Chen, Po-Yu Chen, Hsien-Kai Kuo, Man-Yu Lee, Kuo Chin-Chuan, Zhe-Ln Hu, Po-Chi Hu, Ted T. Kuo, Jenq-Neng Hwang, Jiun-In Guo:
Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries. ICME Workshops 2022: 1-6 - [c16]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. ICPR 2022: 677-684 - [i9]Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian:
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report. CoRR abs/2211.05256 (2022) - [i8]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. CoRR abs/2211.06263 (2022) - [i7]Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. CoRR abs/2211.06770 (2022) - 2021
- [c15]Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte:
Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report. CVPR Workshops 2021: 2503-2514 - [c14]Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou:
Network Space Search for Pareto-Efficient Spaces. CVPR Workshops 2021: 3053-3062 - [c13]Po-Yu Chen, Hao Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hantao Huang, Hsin-Hung Chen, Sheng-Hong Yan, Wei-Lun Ou, Chia-Ming Cheng:
Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation. ICC 2021: 1-6 - [c12]Yu-Shu Ni, Chia-Chi Tsai, Jiun-In Guo, Jenq-Neng Hwang, Bo-Xun Wu, Po-Chi Hu, Ted T. Kuo, Po-Yu Chen, Hsien-Kai Kuo:
Summary of the 2021 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries. ICMR 2021: 244-249 - [i6]Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou:
Network Space Search for Pareto-Efficient Spaces. CoRR abs/2104.11014 (2021) - [i5]Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte, Min-Hung Chen, Man-Yu Lee, Yu-Syuan Xu, Yu Tseng, Shusong Xu, Jin Guo, Chao-Hung Chen, Ming-Chun Hsyu, Wen-Chia Tsai, Chao-Wei Chen, Grigory Malivenko, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Zheng Shaolong, Hao Dejun, Xie Fen, Feng Zhuang, Yipeng Ma, Jingyang Peng, Tao Wang, Fenglong Song, Chih-Chung Hsu, Kwan-Lin Chen, Mei-Hsuang Wu, Vishal M. Chudasama, Kalpesh Prajapati, Heena Patel, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch, Etienne de Stoutz:
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR abs/2105.07809 (2021) - [i4]Po-Yu Chen, Hao Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hantao Huang, Hsin-Hung Chen, Sheng-Hong Yan, Wei-Lun Ou, Chia-Ming Cheng:
Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation. CoRR abs/2106.07953 (2021) - [i3]Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hung-Jen Chen, Kevin Jou, K. S. Venkatesh, Yong-Sheng Chen:
Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction. CoRR abs/2112.14382 (2021) - 2020
- [c11]Cheng-Ming Chiang, Yu Tseng, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Guan-Yu Chen, Koan-Sin Tan, Wei-Ting Wang, Yu-Chieh Lin, Shou-Yao Roy Tseng, Wei-Shiang Lin, Chia-Lin Yu, B. Y. Shen, Kloze Kao, Chia-Ming Cheng, Hung-Jen Chen:
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency. CVPR Workshops 2020: 2109-2119 - [c10]Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai:
Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations. CVPR 2020: 12493-12502 - [i2]Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai:
Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations. CoRR abs/2004.06965 (2020) - [i1]Cheng-Ming Chiang, Yu Tseng, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Guan-Yu Chen, Koan-Sin Tan, Wei-Ting Wang, Yu-Chieh Lin, Shou-Yao Roy Tseng, Wei-Shiang Lin, Chia-Lin Yu, B. Y. Shen, Kloze Kao, Chia-Ming Cheng, Hung-Jen Chen:
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency. CoRR abs/2004.12599 (2020)
2010 – 2019
- 2016
- [j4]Bo-Cheng Charles Lai, Luis Garrido Platero, Hsien-Kai Kuo:
A Quantitative Method to Data Reuse Patterns of SIMT Applications. IEEE Comput. Archit. Lett. 15(2): 73-76 (2016) - [j3]Bo-Cheng Charles Lai, Chia-Ying Lee, Tsou-Han Chiu, Hsien-Kai Kuo, Chun-Kai Chang:
Unified Designs for High Performance LDPC Decoding on GPGPU. IEEE Trans. Computers 65(12): 3754-3765 (2016) - [c9]Chin-Fu Lu, Hsien-Kai Kuo, Bo-Cheng Charles Lai:
Enhancing Data Reuse in Cache Contention Aware Thread Scheduling on GPGPU. CISIS 2016: 351-356 - 2015
- [j2]Bo-Cheng Charles Lai, Hsien-Kai Kuo, Jing-Yang Jou:
A Cache Hierarchy Aware Thread Mapping Methodology for GPGPUs. IEEE Trans. Computers 64(4): 884-898 (2015) - 2014
- [j1]Hsien-Kai Kuo, Bo-Cheng Charles Lai, Jing-Yang Jou:
Reducing Contention in Shared Last-Level Cache for Throughput Processors. ACM Trans. Design Autom. Electr. Syst. 20(1): 12:1-12:28 (2014) - [c8]Chih-Yen Lai, Gung-Yu Pan, Hsien-Kai Kuo, Jing-Yang Jou:
A read-write aware DRAM scheduling for power reduction in multi-core systems. ASP-DAC 2014: 604-609 - 2013
- [c7]Hsien-Kai Kuo, Ta-Kan Yen, Bo-Cheng Charles Lai, Jing-Yang Jou:
Cache Capacity Aware Thread Scheduling for Irregular Memory Access on many-core GPGPUs. ASP-DAC 2013: 338-343 - [c6]Yu-Hao Huang, Ying-Yu Tseng, Hsien-Kai Kuo, Ta-Kan Yen, Bo-Cheng Charles Lai:
A Locality-Aware Dynamic Thread Scheduler for GPGPUs. PDCAT 2013: 254-258 - [c5]Hao-Wei Liu, Hsien-Kai Kuo, Kuan-Ting Chen, Bo-Cheng Charles Lai:
Memory capacity aware non-blocking data transfer on GPGPU. SiPS 2013: 395-400 - [c4]Ta-Kan Yen, Hsien-Kai Kuo, Bo-Cheng Charles Lai:
A distributed thread scheduler for dynamic multithreading on throughput processors. VLSI-DAT 2013: 1-4 - 2012
- [c3]Tsou-Han Chiu, Hsien-Kai Kuo, Bo-Cheng Charles Lai:
A highly parallel design for irregular LDPC decoding on GPGPUs. APSIPA 2012: 1-5 - [c2]Hsien-Kai Kuo, Kuan-Ting Chen, Bo-Cheng Charles Lai, Jing-Yang Jou:
Thread affinity mapping for irregular data access on shared Cache GPGPU. ASP-DAC 2012: 659-664 - 2010
- [c1]Hsien-Kai Kuo, Bo-Cheng Charles Lai, Jing-Yang Jou:
Unleash the parallelism of 3DIC partitioning on GPGPU. SoCC 2010: 127-132
Coauthor Index
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