Hsien-Kai Kuo

According to our database, Hsien-Kai Kuo authored at least 30 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks with Adapters.

Hao-Wei Chen, Yu-Syuan Xu, Kelvin C. K. Chan, Hsien-Kai Kuo, Chun-Yi Lee, Ming-Hsuan Yang

CoRR, 2024

Summary of the 2024 Low-Power Efficient and Accurate Facial-Landmark Detection for Embedded Systems.

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

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Summary of the 2023 Low-Power Deep Learning Object Detection and Semantic Segmentation Multitask Model Compression Competition for Traffic Scene in Asian Countries.

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

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution.

Hao-Wei Chen, Yu-Syuan Xu, Min-Fong Hong, Yi-Min Tsai, Hsien-Kai Kuo, Chun-Yi Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks.

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

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries.

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

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction.

Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hung-Jen Chen, Kevin Jou, K. S. Venkatesh, Yong-Sheng Chen

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Radar and Camera Fusion for Vacant Parking Space Detection.

Bo-Xun Wu, Jia-Jheng Lin, Hsien-Kai Kuo, Po-Yu Chen, Jiun-In Guo

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report.

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

CoRR, 2021

Summary of the 2021 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries.

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

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation.

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

Proceedings of the ICC 2021, 2021

Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report.

Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Network Space Search for Pareto-Efficient Spaces.

Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations.

Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2016

Unified Designs for High Performance LDPC Decoding on GPGPU.

Bo-Cheng Charles Lai, Chia-Ying Lee, Tsou-Han Chiu, Hsien-Kai Kuo, Chun-Kai Chang

IEEE Trans. Computers, 2016

A Quantitative Method to Data Reuse Patterns of SIMT Applications.

Bo-Cheng Charles Lai, Luis Garrido Platero, Hsien-Kai Kuo

IEEE Comput. Archit. Lett., 2016

Enhancing Data Reuse in Cache Contention Aware Thread Scheduling on GPGPU.

Chin-Fu Lu, Hsien-Kai Kuo, Bo-Cheng Charles Lai

Proceedings of the 10th International Conference on Complex, 2016

2015

A Cache Hierarchy Aware Thread Mapping Methodology for GPGPUs.

Bo-Cheng Charles Lai, Hsien-Kai Kuo, Jing-Yang Jou

IEEE Trans. Computers, 2015

2014

Reducing Contention in Shared Last-Level Cache for Throughput Processors.

Hsien-Kai Kuo, Bo-Cheng Charles Lai, Jing-Yang Jou

ACM Trans. Design Autom. Electr. Syst., 2014

A read-write aware DRAM scheduling for power reduction in multi-core systems.

Chih-Yen Lai, Gung-Yu Pan, Hsien-Kai Kuo, Jing-Yang Jou

Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

2013

A distributed thread scheduler for dynamic multithreading on throughput processors.

Ta-Kan Yen, Hsien-Kai Kuo, Bo-Cheng Charles Lai

Proceedings of the 2013 International Symposium on VLSI Design, Automation, and Test, 2013

Memory capacity aware non-blocking data transfer on GPGPU.

Hao-Wei Liu, Hsien-Kai Kuo, Kuan-Ting Chen, Bo-Cheng Charles Lai

Proceedings of the IEEE Workshop on Signal Processing Systems, 2013

A Locality-Aware Dynamic Thread Scheduler for GPGPUs.

Yu-Hao Huang, Ying-Yu Tseng, Hsien-Kai Kuo, Ta-Kan Yen, Bo-Cheng Charles Lai

Proceedings of the International Conference on Parallel and Distributed Computing, 2013

Cache Capacity Aware Thread Scheduling for Irregular Memory Access on many-core GPGPUs.

Hsien-Kai Kuo, Ta-Kan Yen, Bo-Cheng Charles Lai, Jing-Yang Jou

Proceedings of the 18th Asia and South Pacific Design Automation Conference, 2013

2012

Thread affinity mapping for irregular data access on shared Cache GPGPU.

Hsien-Kai Kuo, Kuan-Ting Chen, Bo-Cheng Charles Lai, Jing-Yang Jou

Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012

A highly parallel design for irregular LDPC decoding on GPGPUs.

Tsou-Han Chiu, Hsien-Kai Kuo, Bo-Cheng Charles Lai

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2010

Unleash the parallelism of 3DIC partitioning on GPGPU.

Hsien-Kai Kuo, Bo-Cheng Charles Lai, Jing-Yang Jou

Proceedings of the Annual IEEE International SoC Conference, SoCC 2010, 2010