APSIPA Transactions on Signal and Information Processing > Vol 11 > Issue 1

The Future of Computer Vision

Jingjing Meng, University at Buffalo, The State University of New York, USA, jingjing.meng1@gmail.com , Xilin Chen, Chinese Academy of Sciences, China, Jürgen Gall, University of Bonn, Germany, Chang-Su Kim, Korea University, Korea, Zicheng Liu, Microsoft Corporation, USA, Alessandro Piva, University of Florence, Italy, Junsong Yuan, University at Buffalo, The State University of New York, USA
 
Suggested Citation
Jingjing Meng, Xilin Chen, Jürgen Gall, Chang-Su Kim, Zicheng Liu, Alessandro Piva and Junsong Yuan (2022), "The Future of Computer Vision", APSIPA Transactions on Signal and Information Processing: Vol. 11: No. 1, e18. http://dx.doi.org/10.1561/116.00000009

Publication Date: 14 Jun 2022
© 2022 J. Meng, X. Chen, J. Gall, C.-S. Kim, Z. Liu, A. Piva and J. Yuan
 
Subjects
 
Keywords
Computer vision, reliability, deep learning
 

Share

Journal details

Open Access

This is published under the terms of CC BY-NC.

Downloaded: 1578 times

In this article:
Introduction 
Technology Outlook 
Challenges 
Career Advice 
CV and Society 
Future Directions of CV 
Question from the Audience 
Conclusion 
References 

Abstract

This article summarizes the panel discussion on “The Future of Computer Vision,” organized by the U.S. Local Chapter of APSIPA on August 22, 2021. This panel brings together some of the world’s leading experts in Computer Vision (CV) to discuss “The Future of Computer Vision.” The panel is composed of academic and industry leaders from three continents (Asia, Europe, and North America), who have made key contributions in various CV topics. The panel discussed and debated on different future issues, including but not limited to, the trend and impact of CV, the role of CV in combating social injustice, the impact of deep learning, emerging areas, and how to better prepare for a career in CV.

DOI:10.1561/116.00000009