Held in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition 2021.
Welcome to the Third International Workshop on Event-Based Vision!
This workshop is dedicated to event-based cameras, smart cameras, and algorithms processing data from these sensors. Event-based cameras are bio-inspired sensors with the key advantages of microsecond temporal resolution, low latency, very high dynamic range, and low power consumption. Because of these advantages, event-based cameras open frontiers that are unthinkable with standard frame-based cameras (which have been the main sensing technology of the past 60 years). These revolutionary sensors enable the design of a new class of algorithms to track a baseball in the moonlight, build a flying robot with the agility of a fly, and perform structure from motion in challenging lighting conditions and at remarkable speeds. These sensors became commercially available in 2008 and are slowly being adopted in computer vision and robotics. In recent years they have received attention from large companies, e.g. the event-sensor company Prophesee collaborated with Intel and Bosch on a high spatial resolution sensor, Samsung announced mass production of a sensor to be used on hand-held devices, and they have been used in various applications on neuromorphic chips such as IBM’s TrueNorth and Intel’s Loihi. The workshop also considers novel vision sensors, such as pixel processor arrays (PPAs), that perform massively parallel processing near the image plane. Because early vision computations are carried out on-sensor, the resulting systems have high speed and low-power consumption, enabling new embedded vision applications in areas such as robotics, AR/VR, automotive, gaming, surveillance, etc. This workshop will cover the sensing hardware, as well as the processing and learning methods needed to take advantage of the above-mentioned novel cameras.
- Event-based / neuromorphic vision.
- Algorithms: visual odometry, SLAM, 3D reconstruction, optical flow estimation, image intensity reconstruction, recognition, stereo depth reconstruction, feature/object detection, tracking, calibration, sensor fusion (video synthesis, visual-inertial odometry, etc.).
- Model-based, embedded, or learning approaches.
- Event-based signal processing, representation, control, bandwidth control.
- Event-based active vision, event-based sensorimotor integration.
- Event camera datasets and/or simulators.
- Applications in: robotics (navigation, manipulation, drones…), automotive, IoT, AR/VR, space science, inspection, surveillance, crowd counting, physics, biology.
- Near-focal plane processing, such as pixel processor arrays - PPAs (e.g., SCAMP sensor).
- Biologically-inspired vision and smart cameras.
- Novel hardware (cameras, neuromorphic processors, etc.) and/or software platforms.
- New trends and challenges in event-based and/or biologically-inspired vision (SNNs, etc.).
- Event-based vision for computational photography.
- A longer list of related topics is available in the table of content of the List of Event-based Vision Resources
List of Speakers
- Ryad Benosman (Univ. Pittsburgh, USA)
- Kwabena Boahen (Stanford, USA)
- Bernabé Linares-Barranco (IMSE-CNM, CSIC and Univ. Seville, Spain)
- Chiara Bartolozzi (IIT, Italy)
- Ralph Etienne-Cummings (Johns Hopkins Univ., USA)
- Oliver Cossairt (Northwestern Univ., USA)
- Guido de Croon (TU Delft, Netherlands)
- Gregory Cohen (Western Sydney Univ., Australia)
- Yulia Sandamirskaya (Intel Labs, Germany)
- Robert Mahony (Australian National Univ., Australia)
- Kynan Eng (CEO of iniVation, Switzerland)
- Shoushun Chen (Founder of CelePixel. Will Semiconductor, China)
- Volkan Isler (Samsung AI Center NY, USA)
- Luca Verre (CEO of Prophesee, France)
The tentative schedule is the following:
- Session: Neuromorphic cameras and computing.
- Session: Event-based sensors in computer vision.
- Session: Algorithms and Architectures.
- Session: Industrial companies and applications.
- Final Panel Discussion
- Paper submission deadline: March 27, 2021. Submission website
- Demo abstract submission: March 27, 2021
- Notification to authors: April 10, 2021
- Camera-ready paper: April 15, 2021 (Exact date will be announced, as per CVPR website)
- Workshop day: June 19, 2021, Saturday. 1st day of CVPR. Full day & virtual workshop.
Call for Papers
Research papers and demos are solicited in, but not limited to, the topics listed above. Paper submissions must adhere to the CVPR 2021 paper submission style, format and length restrictions. See the author guidelines and template provided by the CVPR 2021 main conference. See also the policy of Dual/Double Submissions of concurrently-reviewed conferences, such as ICCV. Authors may want to limit the submission to four pages (excluding references) if that is their case.
A double blind peer-review process of the submissions received is carried out via CMT. Accepted papers will be published open access through the Computer Vision Foundation (CVF) (see examples from CVPR Workshop 2019). For the accepted papers we request that the authors write a paragraph about ethical considerations and impact of their work.
We also invite courtesy presentations (short talks) of related papers that are accepted at CVPR main conference or at other conferences. These presentations provide visibility to your work and help to build a community around the topics of the workshop. Please contact the organizers to make arrangements to showcase your work at the workshop.
- Guillermo Gallego, Technische Universität Berlin and Einstein Center Digital Future, Germany.
- Davide Scaramuzza, University of Zurich, Switzerland.
- Kostas Daniilidis, University of Pennsylvania, USA.
- Cornelia Fermüller, University of Maryland, USA.
- Davide Migliore, Prophesee, France.
- What is an event camera? Watch this video explanation.
- What are possible applications of event cameras? Check the TPAMI 2020 review paper.
- Where can I buy an event camera? From Inivation, Prophesee, CelePixel, Insightness.
- Are there datasets and simulators that I can play with? Yes, Dataset. Simulator. More.
- Is there any online course about event-based vision? Yes, check this course at TU Berlin.
- What is the SCAMP sensor? Read this page explanation.
- What are possible applications of the scamp sensor? Some applications can be found here.
- Where can I buy a SCAMP sensor? It is not commercially available. Contact Prof. Piotr Dudek.
- Where can I find more information? Check out this List of Event-based Vision Resources.
Previous Related Workshops
- ICRA 2020 Workshop on Sensing, Estimating and Understanding the Dynamic World. Session on Event-based camera companies iniVation and Prophesee.
- CVPR 2019 Second International Workshop on Event-based Vision and Smart Cameras.
- IROS 2018 Workshop on Unconventional Sensing and Processing for Robotic Visual Perception.
- ICRA 2017 First International Workshop on Event-based Vision.
- ICRA 2015 Workshop on Innovative Sensing for Robotics, with focus on Neuromorphic Sensors.
- Event-Based Vision for High-Speed Robotics (slides) IROS 2015, Workshop on Alternative Sensing for Robot Perception.
- The Telluride Neuromorphic Cognition Engineering Workshops.
- Capo Caccia Workshops toward Cognitive Neuromorphic Engineering.