Hsien-Kai Kuo

40 papers A* 2A 1B 2C 1Misc 1Journal 16Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
EAMamba: Efficient All-Around Vision State Space Model for Image Restoration.
CoRR
Yu-Cheng Lin, Yu-Syuan Xu, Hao-Wei Chen, Hsien-Kai Kuo, Chun-Yi Lee
2024 J jnl
AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks with Adapters.
CoRR
Hao-Wei Chen, Yu-Syuan Xu, Kelvin C. K. Chan, Hsien-Kai Kuo, Chun-Yi Lee, Ming-Hsuan Yang
2024 — conf
Summary of the 2024 Low-Power Efficient and Accurate Facial-Landmark Detection for Embedded Systems.
ICME Workshops
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
2023 A* conf
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution.
CVPR
Hao-Wei Chen, Yu-Syuan Xu, Min-Fong Hong, Yi-Min Tsai, Hsien-Kai Kuo, Chun-Yi Lee
2023 J jnl
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution.
CoRR
Hao-Wei Chen, Yu-Syuan Xu, Min-Fong Hong, Yi-Min Tsai, Hsien-Kai Kuo, Chun-Yi Lee
2023 — conf
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
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
2022 — conf
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning.
ECCV Workshops (2)
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
2022 J jnl
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning.
CoRR
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
2022 — conf
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report.
ECCV Workshops (3)
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
2022 J jnl
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report.
CoRR
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
2022 B conf
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks.
ICPR
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
2022 J jnl
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks.
CoRR
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
2022 — conf
Radar and Camera Fusion for Vacant Parking Space Detection.
AICAS
Bo-Xun Wu, Jia-Jheng Lin, Hsien-Kai Kuo, Po-Yu Chen, Jiun-In Guo
2022 A conf
Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction.
BMVC
Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hung-Jen Chen, Kevin Jou, K. S. Venkatesh, Yong-Sheng Chen
2022 — conf
Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries.
ICME Workshops
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
2021 — conf
Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report.
CVPR Workshops
Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte
2021 J jnl
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report.
CoRR
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, Dejun Hao, 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
2021 — conf
Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation.
ICC
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
2021 J jnl
Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation.
CoRR
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
2021 — conf
Network Space Search for Pareto-Efficient Spaces.
CVPR Workshops
Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou
2021 J jnl
Network Space Search for Pareto-Efficient Spaces.
CoRR
Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou
2021 J jnl
Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction.
CoRR
Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hung-Jen Chen, Kevin Jou, K. S. Venkatesh, Yong-Sheng Chen
2021 B conf
Summary of the 2021 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries.
ICMR
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
2020 — conf
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency.
CVPR Workshops
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
2020 J jnl
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency.
CoRR
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
2020 A* conf
Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations.
CVPR
Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai
2020 J jnl
Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations.
CoRR
Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai
2016 J jnl
A Quantitative Method to Data Reuse Patterns of SIMT Applications.
IEEE Comput. Archit. Lett.
Bo-Cheng Charles Lai, Luis Garrido Platero, Hsien-Kai Kuo
2016 Misc conf
Enhancing Data Reuse in Cache Contention Aware Thread Scheduling on GPGPU.
CISIS
Chin-Fu Lu, Hsien-Kai Kuo, Bo-Cheng Charles Lai
2016 J jnl
Unified Designs for High Performance LDPC Decoding on GPGPU.
IEEE Trans. Computers
Bo-Cheng Charles Lai, Chia-ying Lee, Tsou-Han Chiu, Hsien-Kai Kuo, Chun-Kai Chang
2015 J jnl
A Cache Hierarchy Aware Thread Mapping Methodology for GPGPUs.
IEEE Trans. Computers
Bo-Cheng Charles Lai, Hsien-Kai Kuo, Jing-Yang Jou
2014 — conf
A read-write aware DRAM scheduling for power reduction in multi-core systems.
ASP-DAC
Chih-Yen Lai, Gung-Yu Pan, Hsien-Kai Kuo, Jing-Yang Jou
2014 J jnl
Reducing Contention in Shared Last-Level Cache for Throughput Processors.
ACM Trans. Design Autom. Electr. Syst.
Hsien-Kai Kuo, Bo-Cheng Charles Lai, Jing-Yang Jou
2013 C conf
A Locality-Aware Dynamic Thread Scheduler for GPGPUs.
PDCAT
Yu-Hao Huang, Ying-Yu Tseng, Hsien-Kai Kuo, Ta-Kan Yen, Bo-Cheng Charles Lai
2013 — conf
A distributed thread scheduler for dynamic multithreading on throughput processors.
VLSI-DAT
Ta-Kan Yen, Hsien-Kai Kuo, Bo-Cheng Charles Lai
2013 — conf
Cache Capacity Aware Thread Scheduling for Irregular Memory Access on many-core GPGPUs.
ASP-DAC
Hsien-Kai Kuo, Ta-Kan Yen, Bo-Cheng Charles Lai, Jing-Yang Jou
2013 — conf
Memory capacity aware non-blocking data transfer on GPGPU.
SiPS
Hao-Wei Liu, Hsien-Kai Kuo, Kuan-Ting Chen, Bo-Cheng Charles Lai
2012 — conf
A highly parallel design for irregular LDPC decoding on GPGPUs.
APSIPA
Tsou-Han Chiu, Hsien-Kai Kuo, Bo-Cheng Charles Lai
2012 — conf
Thread affinity mapping for irregular data access on shared Cache GPGPU.
ASP-DAC
Hsien-Kai Kuo, Kuan-Ting Chen, Bo-Cheng Charles Lai, Jing-Yang Jou
2010 — conf
Unleash the parallelism of 3DIC partitioning on GPGPU.
SoCC
Hsien-Kai Kuo, Bo-Cheng Charles Lai, Jing-Yang Jou