Workshop website: https://tub-rip.github.io/eventvision2023/

Timeline:

• Paper submission deadline: March 20, 2023. Submission website (CMT)
• Demo abstract submission: March 20, 2023
• Notification to authors: April 3, 2023
• Camera-ready paper: April 8, 2023 (firm deadline by IEEE)
• Workshop day: June 19, 2023. 2nd day of CVPR. Full day workshop.

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 for 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 bee, 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), which 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.

Call for Papers and Demos:
Research papers and demos are solicited in, but not limited to, the following topics:

• Event–based / neuromorphic vision.
• Algorithms: motion estimation, visual odometry, SLAM, 3D reconstruction, image intensity reconstruction, optical flow estimation, recognition, feature/object detection, visual tracking, calibration, sensor fusion (video synthesis, visual-inertial odometry, etc.).
• Model-based, embedded, or learning-based 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.
• Biologically-inspired vision and smart cameras.
• Near-focal plane processing, such as pixel processor arrays (PPAs).
• Novel hardware (cameras, neuromorphic processors, etc.) and/or software platforms, such as fully event–based systems (end-to-end).
• 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

Courtesy presentations:
We also invite courtesy presentations of papers relevant to the workshop that are accepted at CVPR main conference or at other peer-reviewed conferences or journals. These presentations provide visibility to your work and help build a community around the topics of the workshop. These contributions will be checked for relevance to the workshop, but will not undergo a complete review, and will not be published in the workshop proceedings. Please contact the organizers to make arrangements to showcase your work at the workshop.