The 3rd IEEE Workshop on
Artificial Intelligence for Art Creation

Tokyo, Japan
September 10, 2021
Jointly with MIPR 2021

Call for Papers

Artificial Intelligence (AI) has already fueled many academic fields as well as industries. In the area of art creation, AI has demonstrated its great potential and gained increasing popularity. People are greatly impressed by AI painting, composing, writing, and designing. AI has not only exhibited a certain degree of creativity, but also helped in uncovering the principles and mechanisms of creativity and imagination from the perspective of neuroscience, cognitive science and psychology.

This is the 3rd AIART workshop to be held on MIPR and it aims to bring forward cutting-edge technologies and most recent advances in the area of AI art in terms of the enabling creation, analysis and understanding technologies. The theme topic of the workshop will be AI creativity. And we plan to organize a Special Issue on a renowned SCI journal. We sincerely invite high-quality papers presenting or addressing issues related to AI art, including but not limited to the following topics:

  • Theory and practice of AI creativity
  • Neuroscience, cognitive science and psychology for AI art
  • AI for painting generation
  • AI for music/sound synthesis, composing, matching and instrument digital design
  • AI for poem composing and synthesis
  • AI for typography and graphic design
  • AI for fashion, makeup and virtual human
  • AI for aesthetics understanding, analysis, assessment and prediction
  • AI for affective computing of artworks
  • Authentication and copyright issues of AI artworks

Paper Submission

The workshop will accept regular papers (6 pages), and demo papers (4 pages). Selected submissions could be invited to submit to journal special issues.

More information: https://mipr2021.org/pages/submission_instructions/

Submission address: https://cmt3.research.microsoft.com/AIART2021/Submission/Index


Submit link

Important Dates

Submissions due
January 31, 2021
Notification of Acceptance
February 8, 2021
Camera-ready papers due
March 26, 2021
Workshop date
September 10, 2021

Keynotes (1/2)

Keynote 1


Title:

TBD

Time:

TBD

Abstract:

TBD

Biography:

Björn W. Schuller received his diploma, doctoral degree, habilitation, and Adjunct Teaching Professor in Machine Intelligence and Signal Processing all in EE/IT from TUM in Munich/Germany. He is Full Professor of Artificial Intelligence and the Head of GLAM - the Group on Language Audio & Music - at Imperial College London/UK, Full Professor and Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg/Germany, co-founding CEO and current CSO of audEERING – an Audio Intelligence company based near Munich and in Berlin/Germany, Guest Professor at Southeast University in Nanjing/China and permanent Visiting Professor at HIT/China amongst other Professorships and Affiliations. Previous stays include Full Professor at the University of Passau/Germany, and Researcher at Joanneum Research in Graz/Austria, and the CNRS-LIMSI in Orsay/France. He is a Fellow of the IEEE and Golden Core Awardee of the IEEE Computer Society, Fellow of the BCS, Fellow of the ISCA, President-Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 1,000+ publications (35k+ citations, h-index=86), is Field Chief Editor of Frontiers in Digital Health and was Editor in Chief of the IEEE Transactions on Affective Computing amongst manifold further commitments and service to the community. His 30+ awards include having been honoured as one of 40 extraordinary scientists under the age of 40 by the WEF in 2015. He served as Coordinator/PI in 15+ European Projects, is an ERC Starting and DFG Reinhart-Koselleck Grantee, and consultant of companies such as Barclays, GN, Huawei, or Samsung. Outside research, he cherishes arts playing piano and guitars and as a martial artist.

Keynotes (2/2)

Keynote 2


Title:

TBD

Time:

TBD

Abstract:

TBD

Biography:

Nick Bryan-Kinns is Professor of Interaction Design and Director of the EPSRC+AHRC Media and Arts Technology Centre for Doctoral Training at Queen Mary University of London (QMUL). He is Guest Professor at Huazhong University of Science and Technology, Distinguished Professor at Wuhan University of Technology, China, and was a Visiting Professor of Interaction Design at Hunan University, China. He is Director of EECS International Joint Ventures, lead for International Partnerships for the AI and Music Centre for Doctoral Training, and leads the Sonic Interaction Design Lab in the Centre for Digital Music at QMUL. Bryan-Kinns is a Fellow of the Royal Society of Arts, Fellow of the British Computer Society, and Senior Member of the Association of Computing Machinery (ACM). Bryan-Kinns has published award winning international journal and conference papers on his extensively funded user experience research on participatory design, collaboration, mutual engagement, interactive art, cross-modal interaction, and tangible interfaces. Awards include winner of the AT&T and NYU Connect Ability Challenge 2015, and winner of QMUL Public Engagement Awards 2015 and 2017. His research is reported in publications such as the New Scientist, and media outlets such as BBC, and exhibited at venues such as the Science Museum, London. Bryan-Kinns was Deputy Dean for Science and Engineering at QMUL and held a Royal Academy of Engineering Industrial Secondment in recognition of his work on commercialising academic research. He was a Z-Kubator Development Programme Mentor, Zurich University of the Arts, and was a panel member for the National Science Foundation’s CreativeIT funding panel, and provided expert consultation for the European Commission’s funding of Creativity and ICT. He was Chair of the Steering Committee for the ACM Creativity and Cognition Conference series and was the founding chair of the ACM Creativity, Cognition and Art Community. He chaired the ACM Creativity and Cognition conference 2009, and co-chaired the British Computer Society (BCS) international HCI conference 2006. Prof. Bryan-Kinns is a recipient of the ACM and BCS Recognition of Service Awards. In 1998 he was awarded a Ph.D. in Human Computer Interaction from the University of London.

Technical Program Committee (Tentative)

  • Baoqiang Han, China Conservatory of Music, China
  • Baoyang Chen, Central Academy of Fine Arts, China
  • Beici Liang, Tencent Music Entertainment Group, China
  • Bing Li, King Abdullah University of Science and Technology, Saudi Arabia
  • Changsheng Xu, Institute of Automation, Chinese Academy of Sciences, China
  • Dongmei Jiang, Northwestern Polytechnical University, China
  • Haifeng Li, Harbin Institute of Technology, China
  • Haipeng Mi, Tsinghua University, China
  • Jia Jia, Tsinghua University, China
  • Jianyu Fan, Microsoft, Canada
  • John See, Multimedia University, Malaysia
  • Junping Zhang, Fudan University, China
  • Kejun Zhang, Zhejiang University, China
  • Lai-Kuan Wong, Multimedia University, Malaysia
  • Lei Xie, Northwestern Polytechnical University, China
  • Lin Gan, Tianjin University, China
  • Long Ye, China University of Communication, China
  • Mei Han, Ping An Technology Art institute, USA
  • Ming Zhang, Nanjing Art College, China
  • Philippe Pasquier, Simon Fraser University, Canada
  • Qin Jin, Renmin University, China
  • Rebecca Fiebrink, University of London, UK
  • Rongfeng Li, Beijing University of Posts and Telecommunications, China
  • Rui Wang, Institute of Information Engineering, Chinese Academy of Sciences, China
  • Ruihua Song, Renmin University, China
  • Shasha Mao, Xidian University, China
  • Shiqi Wang, City University of Hong Kong, China
  • Si Liu, Beihang University, China
  • Simon Lui, Tencent Music Entertainment Group, China
  • Weiming Dong, Institute of Automation, Chinese Academy of Sciences, China
  • Wei-Ta Chu, National Chung Cheng University, Taiwan
  • Wei Li, Fudan University, China
  • Weiwei Zhang, Dalian Maritime University, China
  • Xi Shao, Nanjing University of Posts and Telecommunications, China
  • Xiaoyan Sun, University of Science and Technology of China, China
  • Xinfeng Zhang, University of Chinese Academy of Sciences, China
  • Yi Qin, Shanghai Conservatory of Music, China

Organizers

Luntian Mou

Beijing University of Technology

Beijing, China

ltmou@bjut.edu.cn

Dr. Luntian Mou is an assistant professor with the Faculty of Information Technology, Beijing University of Technology. He was a Visiting Scholar with the University of California, Irvine, from 2019 to 2020. He initiated the international workshop of AIART. His current research interests include personal health navigation, affective computing, intelligent transportation, intelligent multimedia, machine learning and artificial intelligence. He has a research background in multimedia security, copy detection and video fingerprinting. And he serves as a Co-Chair of System subgroup in AVS workgroup and IEEE 1857 workgroup as well. He is a Member of IEEE, ACM, CCF, CSIG, and MPEG.

Feng Gao

Peking University

Beijing, China

gaofeng2018@tsinghua.edu.cn

Dr. Feng Gao is an assistant professor with the School of Arts, Peking University. He has long researched in the disciplinary fields of AI and art, especially in AI painting. He co-initiated the international workshop of AIART. Currently, he is also enthusiastic in virtual human. He has demonstrated his AI painting system, called Daozi, in several workshops and drawn much attention.

Zijin Li

China Conservatory of Music

Beijing, China

zijin.li@mcgill.ca

Dr. Zijin Li is an associate professor of Music Technology at China Conservatory of Music. She researched in the interdisciplinary field of Music, Media and Technology. She has been involved in some projects of music acoustics, singing synthesis, music creativity, musical instrument design etc. Also she is co-chair of Innovative Instrument Design International Workshop, Chinese Traditional Music Technology session of China Sound and Music Technology Conference (CSMT), China AI Music Development Symposium, China Musical Instrument Symposium. She served as the chief judge of the New Music Device Invention Award of International "Danny award" and International Electronic Music Competition (IEMC).

Jiaying Liu

Peking University

Beijing, China

liujiaying@pku.edu.cn

Dr. Jiaying Liu is currently an Associate Professor with the Wangxuan Institute of Computer Technology, Peking University. She received the Ph.D. degree (Hons.) in computer science from Peking University, Beijing China, 2010. She has authored over 100 technical articles in refereed journals and proceedings, and holds 43 granted patents. Her current research interests include multimedia signal processing, compression, and computer vision. Dr. Liu is a Senior Member of IEEE, CSIG and CCF. She was a Visiting Scholar with the University of Southern California, Los Angeles, from 2007 to 2008. She was a Visiting Researcher with the Microsoft Research Asia in 2015 supported by the Star Track Young Faculties Award. She has served as a member of Membership Services Committee in IEEE Signal Processing Society, a member of Multimedia Systems & Applications Technical Committee (MSA TC), Visual Signal Processing and Communications Technical Committee (VSPC TC) in IEEE Circuits and Systems Society, a member of the Image, Video, and Multimedia (IVM) Technical Committee in APSIPA. She received the IEEE ICME 2020 Best Paper Awards and IEEE MMSP 2015 Top10% Paper Awards. She has also served as the Associate Editor of IEEE Trans. on Image Processing, and Elsevier JVCI, the Technical Program Chair of IEEE VCIP-2019/ACM ICMR-2021, the Publicity Chair of IEEE ICME-2020/ICIP-2019, and the Area Chair of CVPR-2021/ECCV-2020/ICCV-2019. She was the APSIPA Distinguished Lecturer (2016-2017).

Wen-Huang Cheng

National Chiao Tung University

Taiwan

whcheng@nctu.edu.tw

Dr. Wen-Huang Cheng is a Professor with the Institute of Electronics, National Chiao Tung University (NCTU), Taiwan, where he is the Founding Director with the Artificial Intelligence and Multimedia Laboratory (AIMMLab). His current research interests include multimedia, artificial intelligence, computer vision, machine learning, social media, and financial technology. He is a co-organizer of the 2018 International Workshop on AI Aesthetics in Art and Media, in conjunction with 2018 ACCV.

Ling Fan

Tezign.com

Tongji University Design Artificial Intelligence Lab

Shanghai, China

lfan@tongji.edu.cn

Dr. Ling Fan is a scholar and entrepreneur to bridge machine intelligence with creativity. He is the founding chair and professor of Tongji University Design Artificial Intelligence Lab. Before, he held teaching position at the University of California at Berkeley and China Central Academy of Fine Arts. Dr. Fan co-founded Tezign.com, a leading technology start-up with the mission to build digital infrastructure for creative contents. Tezign is backed by top VCs like Sequoia Capital and Hearst Ventures. Dr. Fan is a World Economic Forum Young Global Leader, an Aspen Institute China Fellow, and Youth Committee member at the Future Forum. He is also a member of IEEE Global Council for Extended Intelligence.
Dr. Fan received his doctoral degree from Harvard University and master's degree from Princeton University. He recently published From Universality of Computation to the Universality of Imagination, a book on how machine intelligence would influence human creativity.

History