Tue
Jul 18
2023
Jul 18
2023
7/21(五)_On the 2nd AI Wave: Toward Interpretable, Reliable, and Sustainable AI_主講人：郭宗杰院士（南加州大學教授）
08:32 AM
webman
webman
主講人：Dr. C.-C. Jay Kuo (郭宗杰教授)
(University of Southern California)
題 目：On the 2nd AI Wave: Toward Interpretable, Reliable, and Sustainable AI
時 間：112年7月21日(五)上午9點30分至12點00分
地 點：台達館103教室
Abstract
Rapid advances in artificial intelligence (AI) in the last decade have been primarily attributed to the wide applications of deep learning (DL) technologies. I view these advances as the first AI wave. There are concerns with the first AI wave. DL solutions are a black box (i.e., not interpretable) and vulnerable to adversarial attacks (i.e., unreliable). Besides, the high carbon footprint yielded by large DL networks is a threat to our environment (i.e., not sustainable). Many researchers are looking for an alternative solution that is interpretable, reliable, and sustainable. This is expected to be the second AI wave. To this end, I have conducted research on green learning (GL) since 2015. GL was inspired by DL. Low carbon footprints, small model sizes, low computational complexity, and mathematical transparency characterize GL. It offers energy-effective solutions in cloud centers and mobile/edge devices. It has three main modules: 1) unsupervised representation learning, 2) supervised feature learning, and 3) decision learning. GL has been successfully applied to a few applications. I will use deepfake video detection and blind image/video quality assessment as two examples to demonstrate the effectiveness and efficiency of the GL solutions.
Speaker
Dr. C.-C. Jay Kuo received his Ph.D. from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as William M. Hogue Professor, Distinguished Professor of Electrical and Computer Engineering and Computer Science, and Director of the Media Communications Laboratory. His research interests are in visual computing and communication. He is a Fellow of AAAS, ACM, IEEE, NAI, and SPIE and an Academician of Academia Sinica.
Dr. Kuo has received a few awards for his research contributions, including the 2010 Electronic Imaging Scientist of the Year Award, the 2010-11 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies, the 2019 IEEE Computer Society Edward J. McCluskey Technical Achievement Award, the 2019 IEEE Signal Processing Society Claude Shannon-Harry Nyquist Technical Achievement Award, the 72nd annual Technology and Engineering Emmy Award (2020), and the 2021 IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award. Dr. Kuo was Editor-in-Chief for the IEEE Transactions on Information Forensics and Security (2012-2014) and the Journal of Visual Communication and Image Representation (1997-2011). He is currently the Editor-in-Chief for the APSIPA Trans. on Signal and Information Processing (2022-2023). He has guided 168 students to their Ph.D. degrees and supervised 31 istanbul escort postdoctoral research fellows.
(University of Southern California)
題 目：On the 2nd AI Wave: Toward Interpretable, Reliable, and Sustainable AI
時 間：112年7月21日(五)上午9點30分至12點00分
地 點：台達館103教室
Abstract
Rapid advances in artificial intelligence (AI) in the last decade have been primarily attributed to the wide applications of deep learning (DL) technologies. I view these advances as the first AI wave. There are concerns with the first AI wave. DL solutions are a black box (i.e., not interpretable) and vulnerable to adversarial attacks (i.e., unreliable). Besides, the high carbon footprint yielded by large DL networks is a threat to our environment (i.e., not sustainable). Many researchers are looking for an alternative solution that is interpretable, reliable, and sustainable. This is expected to be the second AI wave. To this end, I have conducted research on green learning (GL) since 2015. GL was inspired by DL. Low carbon footprints, small model sizes, low computational complexity, and mathematical transparency characterize GL. It offers energy-effective solutions in cloud centers and mobile/edge devices. It has three main modules: 1) unsupervised representation learning, 2) supervised feature learning, and 3) decision learning. GL has been successfully applied to a few applications. I will use deepfake video detection and blind image/video quality assessment as two examples to demonstrate the effectiveness and efficiency of the GL solutions.
Speaker
Dr. C.-C. Jay Kuo received his Ph.D. from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as William M. Hogue Professor, Distinguished Professor of Electrical and Computer Engineering and Computer Science, and Director of the Media Communications Laboratory. His research interests are in visual computing and communication. He is a Fellow of AAAS, ACM, IEEE, NAI, and SPIE and an Academician of Academia Sinica.
Dr. Kuo has received a few awards for his research contributions, including the 2010 Electronic Imaging Scientist of the Year Award, the 2010-11 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies, the 2019 IEEE Computer Society Edward J. McCluskey Technical Achievement Award, the 2019 IEEE Signal Processing Society Claude Shannon-Harry Nyquist Technical Achievement Award, the 72nd annual Technology and Engineering Emmy Award (2020), and the 2021 IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award. Dr. Kuo was Editor-in-Chief for the IEEE Transactions on Information Forensics and Security (2012-2014) and the Journal of Visual Communication and Image Representation (1997-2011). He is currently the Editor-in-Chief for the APSIPA Trans. on Signal and Information Processing (2022-2023). He has guided 168 students to their Ph.D. degrees and supervised 31 istanbul escort postdoctoral research fellows.
Mon
Jun 05
2023
Jun 05
2023
06/09(五)_ Mobile AI Evolution for Multimedia_主講人：鄭嘉珉博士 (聯發科資深經理)
02:50 PM
webman
webman
主講人： 鄭嘉珉 博士
(Senior Manager of Computing and AI Technology Group at MediaTek)
題 目：Mobile AI Evolution for Multimedia
時 間：112年6月9日(五)下午13點20分至15點10分
地 點：台達館103教室
Abstract
At the end of the Multimedia course this semester, I would like to take this opportunity to share my personal experience of mobile AI evolution for multimedia in the semiconductor industry and IC design house. It is especially suitable for students who want to learn more about industry-related information, and apply the fundamental knowledge learned to future research or employment. The content will be divided into three parts, including 1) IT (Information Technology) Generational Change, 2) Mobile AI Technology Evolution, 3) Marching Toward Generative AI Era. This talk looks forward to helping students think about the pathway that suits them, especially for those who are choosing courses or research fields, and those who want to join the semiconductor industry after graduation.
Speaker
Chia-Ming Cheng is the Senior Manager of Computing and AI Technology Group at MediaTek. He is responsible for technology planning and management of AI applications on mobile phones, TV, AIoT, and AR/VR products. He is also responsible for industry-university cooperation and ecosystem engagement for advanced AI technologies. He has extensive experience in advancing camera and computing technology in semiconductor manufacturing. He received his M.S. and Ph.D. in Computer Science from National Tsing Hua University, Taiwan. istanbul escort His research interest mainly focuses on computer vision, machine learning, computational photography, 3D modeling and rendering.
(Senior Manager of Computing and AI Technology Group at MediaTek)
題 目：Mobile AI Evolution for Multimedia
時 間：112年6月9日(五)下午13點20分至15點10分
地 點：台達館103教室
Abstract
At the end of the Multimedia course this semester, I would like to take this opportunity to share my personal experience of mobile AI evolution for multimedia in the semiconductor industry and IC design house. It is especially suitable for students who want to learn more about industry-related information, and apply the fundamental knowledge learned to future research or employment. The content will be divided into three parts, including 1) IT (Information Technology) Generational Change, 2) Mobile AI Technology Evolution, 3) Marching Toward Generative AI Era. This talk looks forward to helping students think about the pathway that suits them, especially for those who are choosing courses or research fields, and those who want to join the semiconductor industry after graduation.
Speaker
Chia-Ming Cheng is the Senior Manager of Computing and AI Technology Group at MediaTek. He is responsible for technology planning and management of AI applications on mobile phones, TV, AIoT, and AR/VR products. He is also responsible for industry-university cooperation and ecosystem engagement for advanced AI technologies. He has extensive experience in advancing camera and computing technology in semiconductor manufacturing. He received his M.S. and Ph.D. in Computer Science from National Tsing Hua University, Taiwan. istanbul escort His research interest mainly focuses on computer vision, machine learning, computational photography, 3D modeling and rendering.
Wed
May 24
2023
May 24
2023
6/2 (五) Generative AI: Lighting the Way, Embracing the Opportunity 主講人: 花凱龍 博士 (台灣微軟首席技術長)
12:21 PM
webman
webman
主講人： 花凱龍 博士
(台灣微軟首席技術長)
題 目：生成式人工智慧: 洞燭先機，掌握契機
TOPIC Generative AI: Lighting the Way, Embracing the Opportunity
時 間：112年6月2日(五)下午13點20分至15點10分
地 點：台達館103教室
Abstract: 在這次演講中，我將分享生成式人工智慧（AI）與基礎模型的觀念和技術。深度學習和類神經網路的發展，促使生成式AI展現驚人的互動和創作能力，並在眾多領域大放異彩。另外，本次演講也將介紹微軟 Azure OpenAI 的高度安全整合應用服務，為生成式AI的應用提供可信賴的基礎。透過這次演講，讓我們攜手把握生成式AI的先機，共同激發未來創新的想像力。
(台灣微軟首席技術長)
題 目：生成式人工智慧: 洞燭先機，掌握契機
TOPIC Generative AI: Lighting the Way, Embracing the Opportunity
時 間：112年6月2日(五)下午13點20分至15點10分
地 點：台達館103教室
Abstract: 在這次演講中，我將分享生成式人工智慧（AI）與基礎模型的觀念和技術。深度學習和類神經網路的發展，促使生成式AI展現驚人的互動和創作能力，並在眾多領域大放異彩。另外，本次演講也將介紹微軟 Azure OpenAI 的高度安全整合應用服務，為生成式AI的應用提供可信賴的基礎。透過這次演講，讓我們攜手把握生成式AI的先機，共同激發未來創新的想像力。
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Tue
Jan 10
2023
Jan 10
2023
1/13 (五) A Technology Passage to Metaverse 主講人: 章建中 博士 (高通公司副總)
06:54 PM
webman
webman
主講人： 章建中 博士
(高通公司副總)
題 目：A Technology Passage to Metaverse
時 間：112年01月13日(五)下午14點至15點30分
地 點：台達館102教室
Abstract:
As metaverse carries various nuances, in this talk, I'd focus more on some essential, yet challenging technologies for us to materialize the dream of metaverse. Hopefully, through the interactive discussions, this talk can be ebullient and useful for the audience.
Bio:
Chienchung Chang received his B.S. degree from National Tsing Hua University, Hsin- chu, Taiwan (1982) and his M.S. and Ph.D. degrees from the University of California, San Diego, La Jolla, (1987 and 1991, respectively), all in electrical and computer engineering. Dr. Chang has worked with Qualcomm since 1991. Currently, Dr. Chang is the vice president of engineering at Qualcomm Technologies, where he serves as the department head of the Multimedia R&D and Standards group, with a major focus in forward- looking research in the fields of speech, umraniye escort
video, imaging, CV, and AI and extended reality (XR) (VR/AR) technologies.
(高通公司副總)
題 目：A Technology Passage to Metaverse
時 間：112年01月13日(五)下午14點至15點30分
地 點：台達館102教室
Abstract:
As metaverse carries various nuances, in this talk, I'd focus more on some essential, yet challenging technologies for us to materialize the dream of metaverse. Hopefully, through the interactive discussions, this talk can be ebullient and useful for the audience.
Bio:
Chienchung Chang received his B.S. degree from National Tsing Hua University, Hsin- chu, Taiwan (1982) and his M.S. and Ph.D. degrees from the University of California, San Diego, La Jolla, (1987 and 1991, respectively), all in electrical and computer engineering. Dr. Chang has worked with Qualcomm since 1991. Currently, Dr. Chang is the vice president of engineering at Qualcomm Technologies, where he serves as the department head of the Multimedia R&D and Standards group, with a major focus in forward- looking research in the fields of speech, umraniye escort
video, imaging, CV, and AI and extended reality (XR) (VR/AR) technologies.
Fri
Dec 30
2022
Dec 30
2022
1/5 (四) 深度學習於自駕車之應用 主講人: 林哲聰博士 (Chalmers University of Technology, Sweden)
11:25 AM
webman
webman
主講人：林哲聰 博士
(Chalmers University of Technology, Sweden)
題 目：深度學習於自駕車之應用
時 間：112年01月05日(四)下午15點30分至17點
地 點：台達館102教室
Abstract:
本演講內容會介紹物件偵測的基礎知識，現有物件偵測模型的極限以及物件偵測在自駕車之各種應用。此外，本演講還會介紹如何運用合成資料甚至是生成式對抗網路來產生多樣化的訓練資料，近年來對抗攻擊模型的進化已經能讓物件偵測模型失效，而這又會對自駕車產生怎麼樣的潛在危害呢?本演講的最後還會簡短說明業界對於AI電腦視覺工程師的能力具有怎麼樣的期待！
(Chalmers University of Technology, Sweden)
題 目：深度學習於自駕車之應用
時 間：112年01月05日(四)下午15點30分至17點
地 點：台達館102教室
Abstract:
本演講內容會介紹物件偵測的基礎知識，現有物件偵測模型的極限以及物件偵測在自駕車之各種應用。此外，本演講還會介紹如何運用合成資料甚至是生成式對抗網路來產生多樣化的訓練資料，近年來對抗攻擊模型的進化已經能讓物件偵測模型失效，而這又會對自駕車產生怎麼樣的潛在危害呢?本演講的最後還會簡短說明業界對於AI電腦視覺工程師的能力具有怎麼樣的期待！
Fri
Dec 30
2022
Dec 30
2022
1/3 (二) Applied Computer Vision - From Recent Research to Future Metaverse主講人: 鄭嘉珉博士 (聯發科技)
11:23 AM
webman
webman
<h1>asd</h1>主講人：鄭嘉珉 博士
題 目：Applied Computer Vision - From Recent Research to Future Metaverse
時 間：112年01月03日(二)下午15點30分至17點
地 點：台達館102教室
Abstract:
At the end of the computer vision course this semester, I would like to take this opportunity to share my personal experience of computer vision in the semiconductor industry and IC design house, especially for students who want to learn more about industry-related information and how to use the acquired CV/ML knowledge for future research or employment. The content will be divided into three parts, including 1) applied computer vision, 2) recent CV research trend, 3) marching toward metaverse era.
This talk will help students find more specific goals, especially for students who are choosing a research field or a thesis topic, and students who want to join the semiconductor industry after graduation.
Speaker:
Chia-Ming Cheng is the Senior Manager of Computing and Artificial intelligence Technology Group at MediaTek. He is responsible for technology planning and management of AI applications on mobile phones, TV, AIoT, and AR/VR products. He is also responsible for industry-university cooperation and ecosystem engagement for advanced AI technologies. He has extensive experience in advancing camera and computing technology in semiconductor manufacturing. He received his M.S. and Ph.D. in Computer Science from National Tsing Hua University, Taiwan. His research interest mainly focuses on computer vision, machine learning, computational photography, 3D modeling and rendering.
題 目：Applied Computer Vision - From Recent Research to Future Metaverse
時 間：112年01月03日(二)下午15點30分至17點
地 點：台達館102教室
Abstract:
At the end of the computer vision course this semester, I would like to take this opportunity to share my personal experience of computer vision in the semiconductor industry and IC design house, especially for students who want to learn more about industry-related information and how to use the acquired CV/ML knowledge for future research or employment. The content will be divided into three parts, including 1) applied computer vision, 2) recent CV research trend, 3) marching toward metaverse era.
This talk will help students find more specific goals, especially for students who are choosing a research field or a thesis topic, and students who want to join the semiconductor industry after graduation.
Speaker:
Chia-Ming Cheng is the Senior Manager of Computing and Artificial intelligence Technology Group at MediaTek. He is responsible for technology planning and management of AI applications on mobile phones, TV, AIoT, and AR/VR products. He is also responsible for industry-university cooperation and ecosystem engagement for advanced AI technologies. He has extensive experience in advancing camera and computing technology in semiconductor manufacturing. He received his M.S. and Ph.D. in Computer Science from National Tsing Hua University, Taiwan. His research interest mainly focuses on computer vision, machine learning, computational photography, 3D modeling and rendering.
Fri
Nov 11
2022
Nov 11
2022
賀! 本實驗室同學 費蓋德 獲111年度TAAI中華民國人工智慧學會碩博士論文獎-- 碩士論文佳作獎
09:32 AM
webman
webman
中華民國人工智慧學會(TAAI)111年度碩博士論文獎-- 碩士論文佳作獎
論文題目：HIT: 全面交互式動作偵測深度學習網路
相關網站：http://www.taai.org.tw/
論文題目：HIT: 全面交互式動作偵測深度學習網路
相關網站：http://www.taai.org.tw/
Wed
Oct 26
2022
Oct 26
2022
賀！本實驗室同學 費蓋德、黃偉哲、何承諭、葉政賢、楊晴雯及賴尚宏老師獲ECCV DeeperAction 2nd Place Award in MultiSports Challenge on Human Action Detection
02:58 PM
webman
webman
ECCV2022 DeeperAction 2nd Place Award in MultiSports Challenge on Human Action Detection
相關網址：https://deeperaction.github.io/results/index.html
相關網址：https://deeperaction.github.io/results/index.html
Fri
Oct 14
2022
Oct 14
2022
賀！本實驗室同學 林佳縈、邱莉淩、李浩榮、賴尚宏老師獲CVGIP2022研討會「黃俊雄優良論文獎」
01:08 PM
webman
webman
電腦視覺、圖學暨影像處理演討會（CVGIP) 2022 黃俊雄優良論文獎
論文題目：Self-Attention Based Deviation Network for Few-Shot Anomaly Detection
相關網站：https://140.125.183.142/2022-09-02/
論文題目：Self-Attention Based Deviation Network for Few-Shot Anomaly Detection
相關網站：https://140.125.183.142/2022-09-02/
Fri
Mar 12
2021
Mar 12
2021
賀! 本實驗室同學 林哲聰 獲2020資訊學會碩博士最佳論文獎 -- 博士論文佳作
06:53 PM
webman
webman
中華民國資訊學會 (ICCM) 2020 資訊學會碩博士最佳論文獎 - 博士論文佳作
論文題目：Vehicle Detection: From Detector Design to Cross-Domain Adaptation
相關網站：https://ieeexplore.ieee.org/abstract/document/8950077
論文題目：Vehicle Detection: From Detector Design to Cross-Domain Adaptation
相關網站：https://ieeexplore.ieee.org/abstract/document/8950077
Contact
- 賴尚宏老師
- 國立清華大學資訊工程學系電腦視覺實驗室
- 新竹市光復路二段101號台達館719,720,721
- 電話: (03)5715131 720:分機80932, 721:分機80933
- Dr. Shang-Hong Lai
- Computer Vision Lab
- Department of Computer Science, National Tsing Hua University
- Rooms 719,720,721 , Delta Building , No. 101, Section 2, Kuang-Fu Road, Hsinchu, Taiwan 30013, R.O.C.
- TEL: (03)5715131 720:#80932, 721:#80933
Directions
- 台達館 Delta Building
進入清大校園後直行，經過大草坪後右轉，再往前直走，經過教育館後，看到工三館左轉即可到達台達館 - GPS座標
北緯:24.79591 東經:120.99211