Hsien-Kai Kuo

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 28

Top Topics

Power Reduction

Convolutional Network

Top Venues

IEEE Trans. Computers

Publications

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 (2024)
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)
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 (2023)
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)
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)
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 (2022)
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)
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 (2022)
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)
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 (2022)
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)
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)
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)
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 (2021)
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)
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)
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 (2021)
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)
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 (2021)
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 (2021)
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)
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)
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 (2020)
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 (2020)
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)
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) (2016)
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) (2016)
Chin-Fu Lu, Hsien-Kai Kuo, Bo-Cheng Charles Lai
Enhancing Data Reuse in Cache Contention Aware Thread Scheduling on GPGPU. CISIS (2016)
Bo-Cheng Charles Lai, Hsien-Kai Kuo, Jing-Yang Jou
A Cache Hierarchy Aware Thread Mapping Methodology for GPGPUs. IEEE Trans. Computers 64 (4) (2015)
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)
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) (2014)
Ta-Kan Yen, Hsien-Kai Kuo, Bo-Cheng Charles Lai
A distributed thread scheduler for dynamic multithreading on throughput processors. VLSI-DAT (2013)
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)
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)
Hao-Wei Liu, Hsien-Kai Kuo, Kuan-Ting Chen, Bo-Cheng Charles Lai
Memory capacity aware non-blocking data transfer on GPGPU. SiPS (2013)
Tsou-Han Chiu, Hsien-Kai Kuo, Bo-Cheng Charles Lai
A highly parallel design for irregular LDPC decoding on GPGPUs. APSIPA (2012)
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)
Hsien-Kai Kuo, Bo-Cheng Charles Lai, Jing-Yang Jou
Unleash the parallelism of 3DIC partitioning on GPGPU. SoCC (2010)