指導教授

郭致宏

教授(professor)

學歷

  • 美國南加州大學電機工程博士(2003)
  • 國立清華大學電機工程碩士(1994)
  • 國立清華大學電機工程學士(1992)

經歷

  • 國立成功大學電機系副教授 (2010-)
  • 國立成功大學電機系助理教授 (2004-2010)
  • 華邦電子公司 (2004)
  • 美國南加州大學電機工程學系研究助理(1999-2003)
  • 工業技術研究院電腦與通信研究所(1996-1998)

專長及研究領域

  • 數位影音壓縮
  • 數位通信系統設計

聯絡方式

電話: +886-6-275-7575 ext. 62326

傳真:+886-6-2345482

email:

地址:台南市東區大學路1號奇美樓95515室

著作

期刊論文( Journal )

  1. C. -H. Chiang, C. -H. Kuo, C. -C. Lin and H. -T. Chiang, “3D Point Cloud Classification for Autonomous Driving via Dense-Residual Fusion Network,” in IEEE Access, vol. 8, pp. 163775-163783, 2020, doi: 10.1109/ACCESS.2020.3021191.
  2. D. Chen and C. Kuo, “Modified Dual Path Network With Transform Domain Data for Image Super-Resolution,” in IEEE Access, vol. 8, pp. 97975-97985, 2020, doi: 10.1109/ACCESS.2020.2997028.
  3. J. Hsu, C. Kuo and D. Chen, “Image Super-Resolution Using Capsule Neural Networks,” in IEEE Access, vol. 8, pp. 9751-9759, 2020.
  4. Shih-Chieh Yu, Shao-Ming Lai, Chih-Hung Kuo and Jing-Hong Yu, “Lookup-Table-Based Error Compensation for Special Function Unit Based on Taylor Series Approximation,” IJEE, vol. 24, no. 5, pp. 177-184, 2017.
  5. C. H. Kuo, Y. L. Shih and S. C. Yang, “Rate Control via Adjustment of Lagrange Multiplier for Video Coding,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 11, pp. 2069-2078, Nov. 2016.
  6. Min-Kuan Chang, Ting-Chen Chen, Che-An Shen, Wan-Jen Huang, Chih-Hung Kuo, and Chia-Chen Kuo, “New results on connectivity in wireless network,” Journal of Visual Communication and Image Representation, vol. 32, pp. 74-82, Oct. 2015.
  7. Chia-Hung Yeh, Po-Yi Sung, Chih-Hung Kuo, Ruey-Nan Yeh (2012, Oct), Robust laser speckle recognition system for authenticity identification, Optics Express, Vol. 20, No. 22, pp. 24382-24393.
  8. Chih-Hung Kuo, Chien-Ming Wang, and Jiung-Liang Lin, “Cooperative Wireless Broadcast for Scalable Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 6, pp. 816-824, June 2011.
  9. Li-Chuan Chang, Chih-Hung Kuo, and Bin-Da Liu, “A Two-Stage Rate Control Mechanism for RDO-Based H.264/AVC Encoders,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 5, pp. 660-673, May 2011.

會議論文( Conference )

    1. Chia-Ning Liu and Chih-Hung Kuo, “Convolution Accelerator for Low-Precision Neural Network”, 2019 VLSI Design/CAD Symposium. (6-9 August 2019, kaohsiung, Taiwan)
    1. De-Wei Chen ,and Chih-Hung Kuo, “Super-Resolution Image Reconstruction with Transform Domain Data”, Image Processing (CVGIP 2019). (25-27 August 2019, Taitung, Taiwan)
    1. Shao-Ming Lai, and Chih-Hung Kuo, “Efficient Dual-Precision Floating-Point Special Function Unit”, 2018 VLSI Design/CAD Symposium. (7-10 August 2018, Tainan, Taiwan)
    1. Yu-Yao Shen, and Chih-Hung Kuo, “Two Pass Rate Control for Consistent Quality Based on Down-sampling Video in HEVC, ” IEEE International Conference on Multimedia and Expo (ICME), July, 2018.
    1. Ying-Chan Tung, and Chih-Hung Kuo, “Effective CU size decision by convolutional neural network for HEVC”, 31th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP 2018). (19-21 August 2018, Tainan, Taiwan)
    1. Wei-Ting Lu, Chiew-Wei Len, Chih-Hung Kuo, and Ying-Chan Tung, “Image Super-Resolution Based on Error Compensation with Convolutional Neural Network”, 2017 Asia-Pacific Signal and Information Processing Association (APSIPA 2017). (12-15 December 2017, Kuala Lumpur, Malaysia)
  1. Chien-Wei Lin, and Chih-Hung Kuo, “Video Super-Resolution Using Convolutional Neural Network”, 2017 Taiwan Academic Network Conference (TANET). (25-27 October 2017, Taichung, Taiwan)
  2. Wei-Ting Lu, Chiew-Wei Len, Chih-Hung Kuo, and Ying-Chan Tung, “Image Super-Resolution Based on Error Compensation with Convolutional Neural Network”, 2017 Asia-Pacific Signal and Information Processing Association (APSIPA 2017). (12-15 December 2017, Kuala Lumpur, Malaysia)
  3. Chien-Wei Lin, and Chih-Hung Kuo, “Video Super-Resolution Using  Convolutional Neural Network”, 2017 Taiwan Academic Network Conference(TANET). (25-27 October 2017, Taichung, Taiwan)
  4. Wei-Ting Lu, Chien-Wei Lin, and Chih-Hung Kuo, “Multi-Scale Super Resolution with Convolutional Neural Network and Iterative Back Projection”, 30th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP 2017). (21-23 August 2017, Nantou, Taiwan)
  5.  Yu-Kuan Lin, and Chih-Hung Kuo, “Approximation Decoding for RBFNN-Based Texture Compression”, 2017 Taiwan and Japan Conference on Circuits and Systems (TJCAS 2017).
  6. Meng-Yang Lu, and Chih-Hung Kuo, “A Low Latency Memory I/O Link Compression Architecture for GPU”, 2017 Taiwan and Japan Conference on Circuits and Systems (TJCAS 2017).
  7. Meng-Yang Lu, and Chih-Hung Kuo, “A Low latency Memory Compression Framework Using Based-Delta Bitmask”, 2017 VLSI Design/CAD Symposium.
  8. Yu-Kuan Lin, and Chih-Hung Kuo, “Variable-Size Block Texture Compression Using Radial Basis Function Neural Network”, 2017 VLSI Design/CAD Symposium.
  9. Min-Kun Sie, and Chih-Hung Kuo, “Indoor location estimation using BLE beacon with multiple transmission power levels”, Consumer Electronics-Taiwan(ICCE-TW), 2017 IEEE International Conference on, pp. 323-324.
  10. Wei-Ting Lu, Chien-Wei Lin, and Chih-Hung Kuo, “Multi-Scale Super Resolution with Convolutional Neural Network and Iterative Back Projection”, 30th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP 2017).
  11. Shih-Chieh Yu, Chih-Hung Kuo, and Jing-Hang Yu, “Error Compensation for Special Function Unit Based on High-order Taylor Series Approximation,” 2016 VLSI Design/CAD Symposium.
  12.  Yu-Siang Ciou, and Chih-Hung Kuo, “Fast Coding Unit Selection for HEVC Using Machine Learning Trade-off between Speed and Performance,” 2016 Taiwan Academic Network Conference(TANET), pp. 338-343.
  13. Ying-Chan Tung, and Chih-Hung Kuo, “Effective CU size decision by convolutional neural network for HEVC”, 31th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP 2018). (19-21 August 2018, Tainan, Taiwan)
  14. Yu-Yao Shen, and Chih-Hung Kuo, “Two Pass Rate Control for Consistent Quality Based on Down-sampling Video in HEVC, ” IEEE International Conference on Multimedia and Expo (ICME), July, 2018.
  15. Shao-Ming Lai, and Chih-Hung Kuo, “Efficient Dual-Precision Floating-Point Special Function Unit”, 2018 VLSI Design/CAD Symposium. (7-10 August 2018, Tainan, Taiwan)
  16. De-Wei Chen ,and Chih-Hung Kuo, “Super-Resolution Image Reconstruction with Transform Domain Data”, Image Processing (CVGIP 2019). (25-27 August 2019, Taitung, Taiwan)
  17. Chia-Ning Liu and Chih-Hung Kuo, “Convolution Accelerator for Low-Precision Neural Network”, 2019 VLSI Design/CAD Symposium. (6-9 August 2019, kaohsiung, Taiwan)

專利

    1. Wen-Yuan Chen and Chih-Hung Kuo, “Apparatus and method for echo cancellation,” US patent US5970154. Issued Date Oct. 19, 1999.
    1. Jia-Hung Lin, Chih-Hung Kuo, Chia-Hung Yeh, Hsuan-Hui Shih: Camera motion parameter retrieving system and solving process, United States Patent 8154604 B2. (Issue date: Apr. 10, 2012)
    1. 林家宏、郭致宏、葉家宏、施宣輝,「擷取攝影裝置動作參數之系統及其計算方法」,中華民國發明專利第I364005號。(公告日2012/05/11)
  1. 葉家宏、劉榮文、郭致宏、施宣輝,「用以偵測媒體資料流中精采片段的裝置以及相關方法」,中華民國發明專利第I325722號。(公告日2010/06/1)

其他

    1. 符合OpenCL/TensorFlow API 規範的終端AI處理器
    1. 高效率視訊編碼之位元率-失真模型及位元率分配(2016~2018)(105-2221-E-006-201-MY2)
    1. 具能量效率之OpenCL及OpenGL HSA相容GPU系統設計與實作(2016~2017)( 105-2218-E-006-024-)
    1. 子計畫四:支援OpenCL運算之超解析度影像編解碼演算法設計
    1. 具易測試及除錯特性之智慧型低功率多核心系統之設計技術研發:從電子系統層級至矽晶片層級-子計畫六:具有輔助除錯之能量感知多核心即時影像應用的系統層級設計 (2/3)(2011~2012)(NSC100-2220-E-006-007-)
  1. 具易測試及除錯特性之智慧型低功率多核心系統之設計技術研發:從電子系統層級至矽晶片層級-子計畫六:具有輔助除錯之能量感知多核心即時影像應用的系統層級設計 (1/3)(2010~2011)(NSC 99-2220-E-006-020-)

特殊榮譽

    1. 102年度國科會整合型計劃「績優計畫獎」
    1. 國立成功大學103學年度教學優良教師獎
    1. 最佳論文獎 IWAIT/IFMIA 2015
  1. 指導學生 榮獲 2015 大學校院積體電路設計競賽 電子系統層級設計 佳作