CVPR 2026 Workshop

Computer Vision is moving to the edge - into drones, robots, IoT devices, AR/VR headsets and autonomous systems. These applications demand processing that is fast, energy-efficient, and privacy-preserving. On-sensor vision addresses these challenges by unifying sensing and computation on a single chip, producing information-rich outputs instead of raw pixel data.

In modern computing systems, data movement costs more than computation. By integrating processing directly at the sensor - whether through Pixel Processor Arrays (PPAs) like Manchester’s SCAMP, stacked 3D sensors or analog processing - we can eliminate expensive data transfers and enable real-time operation at sub-watt power levels.

This workshop brings together researchers working on algorithms, architectures, and systems for on-sensor and near-sensor vision. We’ll explore what computation should happen on-sensor versus off-sensor, what representations sensors should output when they produce information rather than images, and how to co-design algorithms and hardware for next-generation vision systems.

Workshop Scope

  • Algorithms for on- or near-sensor computer vision
  • Pixel-parallel processor arrays (digital and analog)
  • Graph algorithms for fine-grained parallelism
  • In-sensor and near-sensor neural networks
  • Cellular automata and bio-inspired vision
  • Algorithm-hardware co-design for sensor-integrated processing
  • Partitioning strategies between on-sensor and off-sensor computation
  • Novel architectures: stacked sensors, analog processing, neuromorphic systems
  • Programming models and simulators for processing arrays

Key Workshop Questions

  • which vision tasks belong on-sensor ?
  • what intermediate representations should sensors emit ?
  • What are the benefits, applications and key tradeoffs of near-sensor processing ?
  • how much programmability is needed in pixel parallel arrays ?

Paper Submission

We welcome 2-4 page submissions (excluding citations) describing either:

  • Extended abstracts presenting novel algorithms, architectures, or results
  • Demonstrations of hardware prototypes or system implementations

If you are considering sending a paper, please visit our OpenReview OSV Workshop Website.
You can find more information on the Call for Papers page.