• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 62 matches

• 2024
• 
  Shih-Yu Chen, Kai-Hsun Hsu, Tzu-Hsien Kuo:
  Hyperspectral Target Detection-Based 2-D-3-D Parallel Convolutional Neural Networks for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9451-9469 (2024)
• 
  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
• 
  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
• 
  Nicholas I-Hsien Kuo, Federico Garcia, Anders Sönnerborg, Michael Böhm, Rolf Kaiser, Maurizio Zazzi, Mark N. Polizzotto, Louisa Jorm, Sebastiano Barbieri:
  Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV. J. Biomed. Informatics 144: 104436 (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: 18257-18267
• 
  Po-Hsien Wu, Yue-Fang Kuo, Wan-Ju Li, Chuan-Kai Chou, Chia-Chuan Kuo:
  Dual-Band Local Oscillator with Adjustable Independent Outputs for 5G/WiFi Applications. GCCE 2023: 187-188
• 
  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
• 
  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
• 
  Chen-Kai Wang, Feng-Duo Wang, You-Qian Lee, Pei-Tsz Chen, Bo-Hong Wang, Chu-Hsien Su, Joseph Chin-Chi Kuo, Chi-Shin Wu, Yi-Ling Chien, Hong-Jie Dai, Vincent S. Tseng, Wen-Lian Hsu:
  Principle-Based Approach for the De-Identification of Code-Mixed Electronic Health Records. IEEE Access 10: 22875-22885 (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: 242-245
• 
  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
• 
  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
• 
  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
• 
  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
• 
  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
• 
  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)
• 
  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)
• 
  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
• 
  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
• 
  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
• 
  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
• 
  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
• 
  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)
• 
  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)
• 
  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)
• 
  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
• 
  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
• 
  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
• 
  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)
• 
  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)

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