Jan 28, 2017 at 4:16 pm in by Computer Vision Central

The Thirteenth IEEE Embedded Vision Workshop


July 21, 2017,
Honolulu, HI, USA

Held in conjunction with IEEE CVPR 2017.

Main theme: Autonomous Driving


NVIDIA Corporation kindly sponsors this year’s best paper award!

Call For Papers

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.

CFP: https://drive.google.com/file/d/0B-aYI7rgXZ2vVzZrMXF4emxsVlk/view?usp=sharing

Important Dates

  • Paper submission: March 31, 2017
  • Notification to the authors: May 12, 2017
  • Camera ready paper: May 19, 2017

Paper submission: http://cmt3.research.microsoft.com/EVW2017

Author guidelines: http://cvpr2017.thecvf.com/submission/main_conference/author_guidelines


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.


This year, we strongly encourage submissions on robotic systems and applications. Research papers are solicited in, but not limited to, the following topics:

  • Deep learning hardware and software architectures for visual exploitation
  • Analysis of vision problems specific to embedded systems
  • Analysis of embedded systems issues specific to computer vision
  • Large scale computer vision problems including object recognition, scene analysis, visual, industrial and medical applications
  • Embedded vision for robotics (industrial, mobile, and consumer)
  • Embedded vision for Unmanned Ground and Air Vehicles, including consumer drones
  • Embedded visual navigation (mapping, localization, VSLAM, VO)
  • 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 Chair:

Martin Humenberger, AIT Austrian Institute of Technology
Swarup Medasani, Uurmi Systems

Program Chair:

Ravi Kumar Satzoda, Nauto Inc.
Zoran Nikolic, Nvidia

Sponsorship Chair:

Goksel Dedeoglu, PercepTonic

Steering Committee:

Stefano Mattoccia, University of Bologna, Italy
Jagadeesh Sankaran, Nvidia
Ahmed Nabil Belbachir, Teknova AS (Norway)
Sek Chai, SRI International
Margrit Gelautz, Vienna University of Technology
Branislav Kisacanin, Nvidia
Fridtjof Stein, Daimler AG

Web Chair:

Yu Wang, Ambarella

Program Committee (tentative):

Abelardo Lopez-Lagunas, ITESM
Antonio Haro, Navteq
Bernhard Rinner, Klagenfurt University
Burak Ozer, Verificon
David Ilstrup, Honda Research Institute
David Moloney, Movidius
Dipan Mandal, Intel Corporation
Hassan Rabah, University of Lorraine
Hongying Meng, Brunel University
Khanh Duc, Nvidia
Kofi Appiah, Nottingham Trent University
Linda Wills, Georgia Tech
Marilyn Wolf, Georgia Tech
Peter Venetianer, Digital Signa Corp.
Rajesh Narasimha, MetaIO
Sebastiano Battiato, U.of Catania
Steve Mann, University of Toronto
Sven Fleck, SmartSurv
Terry Boult, U.of Colorado
Vinay Sharma, Apple
Vittorio Murino, Istituto Ital.di Tecn.
Zhu Li, Hong Kong Polytechnic University
Senyo Apewokin, Texas Instruments
Moshe Ben-Ezra, Microsoft
Faycal Bensaali, Qatar University
Xin Chen, Naivety
Rita Cucchiara, U. of Modena and Reggio Emilia
Orazio Gallo, Nvidia
Masatoshi Ishikawa, U. of Tokyo
Kihwan Kim, Nvidia
Kevin Koeser, ETH Zurich
Zhu Li, Hong Kong Polytechnic U.
Darnell Moore, Texas Instruments
Andre Morin, Lyrtech
Zoran Zivkovic, NXP
Sankalita Saha, NASA
Mainak Sen, Cisco Systems
Dabral Shashank, Texas Instruments
Salvatore Vitabile, U.of Palermo
Ruigang Yang, U. of Kentucky
Witek Jachimczyk, Mathworks
Zoran Zivkovic, Intel Corporation
Stephan Weiss, Klagenfurt University
Roland Brockers, JPL
Thomas Kadiofsky, AIT Austrian Institute of Technology
Markus Murschitz, AIT Austrian Institute of Technology
Nicolas Thorstensen, IVISO GMBH
Florian Seitner, emotion3D GmbH
Tse-Wei Chen, Canon Inc.

Previous Embedded Computer Vision Workshops (ECVW)

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