The 14th IEEE Embedded Vision Workshop

June 18, 2018, Salt Lake City, UT

Held in conjunction with IEEE CVPR 2018

Call for Papers

Main theme: Computer Vision on Embedded Processors

Embedded Vision is what makes Computer Vision mainstream today, as it brings together embedded systems with vision functionalities. Due to the emergence of powerful yet low-cost and energy-efficient processors, it has become possible to incorporate vision capabilities into a wide range of embedded systems, including video search and annotation, surveillance, gesture recognition in video games, driver assist systems in automotive safety, and autonomous robots such as drones. The IEEE Embedded Vision Workshop (EVW) brings together researchers working on vision problems that share embedded system characteristics.

Important Dates

Paper submission: March 17, 2018 March 24, 2018 (Extended)
Notification to the authors: May 12, 2018 April 17, 2018
Camera-ready paper: April 20, 2018
Paper submission:
Author guidelines:
Call for Papers (PDF file): Download


Best paper award sponsored by Naver Labs Europe: $1000


EVW will have live demonstrations of embedded vision prototypes and solutions. This year we strongly encourage authors to embed their demo into their talk. We will provide 5 extra minutes in order to have enough time for the demo.

Furthermore, we plan a demo session during which authors, engineers, and researchers can showcase their prototypes with real-time implementations of vision systems on embedded computing platforms. Additionally, we invite abstracts, independent of the paper submissions, to present your demonstrations during the workshop.


Research papers are solicited in, but not limited to, the following topics:

  • Analysis of vision problems specific to embedded systems
  • Analysis of embedded systems issues specific to computer vision
  • Artificial intelligence hardware and software architectures for visual exploitation (for e.g. deep learning and deep convolutional neural networks)
  • Embedded vision for robotics (industrial, mobile and consumer)
  • Embedded vision for unmanned ground and air vehicles, including consumer drones
  • Advanced driver assistance systems and autonomous driving
  • Large-scale computer vision problems including object recognition, scene analysis, industrial and medical applications
  • New trends in programmable processors for vision and computational imaging
  • Applications of and algorithms for embedded vision on:
    • Massively parallel platforms such as GPUs (PC, embedded and mobile)
    • Programmable platforms such as DSPs and multicore SoCs
    • Reconfigurable platforms such as FPGAs and SoCs with reconfigurable logic
    • Mobile devices, including smartphones and tablets
    • Vision-based client devices for the Internet of Things (IoT)
  • Embedded vision for 3D movies and TV
  • Biologically-inspired vision and embedded systems
  • Computer vision applications distributed between embedded devices and servers
  • Social networking embedded computer vision applications
  • Educational methods for embedded vision
  • User interface designs and CAD tools for embedded vision applications
  • Hardware enhancements (lens, imager, processor) that impact vision applications
  • Software enhancements (OS, middleware, vision libraries, development tools) that impact embedded vision application
  • Methods for standardization and measurement of vision functionalities
  • Performance metrics for evaluating embedded systems
  • Hybrid embedded systems combining vision and other sensor modalities

Special Journal Issue on Embedded Computer Vision

All of the previous Workshops on Embedded (Computer) Vision (ECVW and EVW) were held in conjunction with CVPR, with the exception of the fifth, which was held in conjunction with ICCV 2009. These events were very successful, and selected workshop papers have been published in several special issues of major journals (EURASIP Journal on Embedded Systems, CVIU and Springer monographs titled Embedded Computer Vision). This year, we also plan to organize a special issue for selected papers.

Organizing Committee

General Chairs:
Ravi Kumar Satzoda, Nauto Inc.
Zoran Nikolic, Nvidia

Program Chairs:
Tse-Wei Chen, Canon Inc.
Rajesh Narasimha, DeepDiveVision (DDV) LLC.

Steering Committee:
Martin Humenberger, Naver Labs Europe
Shanti Swarup Medasani, Uurmi Systems
Stefano Mattoccia, University of Bologna, Italy
Jagadeesh Sankaran, Nvidia
Ahmed Nabil Belbachir, Teknova AS
Sek Chai, SRI International
Margrit Gelautz, Vienna University of Technology
Branislav Kisacanin, Nvidia
Yu Wang, Ambarella

Program Committee:
Abelardo Lopez-Lagunas, ITESM-Toluca
Antonio Haro, HERE Technologies
Bernhard Rinner, Klagenfurt University of Austria
Branislav Kisacanin, NVIDIA
Burak Ozer, Pekosoft
Daniel Steininger, AIT Austrian Institute of Technology
Dongchao Wen, Canon Information Technology (Beijing) Co., LTD
Florian Seitner, emotion3D GmbH
Hassan Rabah, University of Lorraine
Hongxing Gao, Canon Information Technology (Beijing) Co., LTD
Linda Wills, Georgia Institute of Technology
Margrit Gelautz, Vienna University of Technology
Marilyn Wolf, Georgia Institute of Technology
Martin Humenberger, Naver Labs Europe
Matteo Poggi, University of Bologna
Matthias Schörghuber, AIT Austrian Institute of Technology
Nicolas Thorstensen, IVISO
Orazio Gallo, NVIDIA Research
Philippe Weinzaepfel, Naver Labs Europe
Rajesh Narasimha, Deep Dive Vision
Ravi Satzoda, Nauto Inc.
Roland Brockers, Jet Propulsion Laboratory
Sek Chai, SRI
Tse-Wei Chen, Canon Inc.
Wei Tao, Canon Information Technology (Beijing) Co., LTD
Zoran Zivkovic, Intel Corporation