Low-Power Computer Vision Workshop 2019

ICCV 2019

2019 ICCV Workshop
Seoul, Republic of Korea
Monday, 28 October 2019

Online paper submission deadline: 31 July 2019
Paper submission site
Each paper is limited to 8 pages.

Read about recent Low-Power Image Recognition Challenge (LPIRC) competitions

Call for Papers

This workshop has two main themes:

  1. Solutions for Low-Power Computer Vision
  2. Grand Challenges in Low-Power Computer Vision

Paper submission site

 

Solutions for Low-Power Computer Vision:

Computer vision technologies have made impressive progress in recent years, but often at the expense of increasingly complex models needing more and more computational and storage resources. This workshop aims to improve the energy efficiency of computer vision solutions for running on systems with stringent resources, for example, mobile phones, drones, or renewable energy systems. Efficient computer vision can enable many new applications (e.g., wildlife observation) powered by ambient renewable energy (e.g., solar, vibration, and wind). This workshop will discuss the state of the art of low-power computer vision, challenges in creating efficient vision solutions, promising technologies that can achieve the goals, methods to acquire and label data, benchmarks and metrics to evaluate progress and success. Authors are encouraged to present innovation in any part of the entire systems, such as new hardware components, new algorithms, new methods for system integration, new semiconductor devices, and new computing paradigms. This workshop emphasizes “system-level” solutions with implementations for demonstrations and experiments. Conceptual designs or solutions for individual components without integration into functional systems are discouraged.

Authors are encouraged to discuss the following issues in their papers:

  • Description of the solution
  • Description of the data for evaluation
  • Description of the system
  • Metrics for evaluation
  • Comparison with the state-of-the-art

 

Grand Challenges in Low-Power Computer Vision:

Competitions are widely adopted in academia, industry, and government to propel technologies forward. Well-known competitions include the DARPA Autonomous Vehicle Challenge and the Space X prize. The competitions have been attributed as the accelerators of making significant progress in the technologies. This workshop solicits papers that describe future competition of low-power computer vision. Authors are encouraged to think boldly, imagining “Grand Challenge” or “X Prize” type of competitions. The winners’ solutions (maybe hardware, software, or combination) should be far beyond today’s available technologies.

Authors are encouraged to discuss the following issues in their papers:

  • Description of the challenge and why it is worth the community’s efforts for several years
  • Description of the state-of-the-art (the challenge should be far beyond today’s technology but achievable)
  • Description the people that can benefit from the technologies
  • Description of the market size in billions per year (if applicable)
  • Description of the data (e.g., image, video, with or without caption, and others)
  • Methods to acquire the data and methods for scoring
  • Paths toward solving the problems. Do they need innovation in vision algorithms? Hardware? Software? Will non-traditional systems be needed? Why?
  • Description about copyright and privacy (if applicable)
  • Methods to annotate the data (if applicable, for getting the ground truth)
  • Constraints of hardware (if applicable, e.g., weight and size)
  • Minimum or maximum requirements (if applicable, e.g., accuracy and execution time)

 

Tentative Schedule:

Time Topic
09:00-09:10 Welcome by Organizers
09:10-10:30 Invited Speakers
10:30-11:00 Coffee Break
11:00-12:20 Paper Presentations
12:20-13:30 Lunch Break
13:30-15:10 Paper Presentations
15:10-15:40 Coffee Break
15:40-16:30 Paper Presentations
16:30-17:00 Discussion and Conclusion

 

Submission

All submissions must be in the PDF format. Submissions are limited to eight pages, including all figures, tables, and references, in the ICCV 2019 submission style.

Paper submission site

 

Important dates

  • Online paper submission: 31 July 2019
  • Notification to authors: 15 August 2019
  • Camera ready: 29 August 2019

 

Organizers

 

References

  1. Y. Lu, A. M. Kadin, A. C. Berg, T. M. Conte, E. P. DeBenedictis, R. Garg, G. Gingade, B. Hoang, Y. Huang, B. Li, J. Liu, W. Liu, H. Mao, J. Peng, T. Tang, E. K. Track, J. Wang, T. Wang, Y. Wang, and J. Yao. Rebooting computing and low-power image recognition challenge. In 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pages 927–932, Nov 2015.
  2. K. Gauen, R. Rangan, A. Mohan, Y. Lu, W. Liu, and A. C. Berg. Low-power image recognition challenge. In 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), pages 99–104, Jan 2017.
  3. K. Gauen, R. Dailey, Y. Lu, E. Park, W. Liu, A. C. Berg, and Y. Chen. Three years of low-power image recognition challenge: Introduction to special session. In 2018 Design, Automation Test in Europe Conference Exhibition (DATE), pages 700–703, March 2018.
  4. Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eun-byung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, and Shaojie Zhuo. 2018 low-power image recognition challenge. CoRR, abs/1810.01732, 2018.
  5. Yung-Hsiang Lu, Alexander C. Berg, and Yiran Chen. Low-power image recognition challenge. AI Magazine, 39(2), Summer 2018.

 

Recent LPIRC Competitions