The workshop explores the joint optimization of sensors and machine learning models, pushing beyond traditional paradigms of data acquisition and processing. We aim to rethink the foundations of how machines sense the world by replacing e.g. hand-crafted ISPs, leveraging learnable sensor layouts, and adopting task-driven sensing strategies.

We welcome original contributions and position papers in the following topics (non-exhaustive):

• Sensor optimization for e.g. computer vision (bit-depth, pixel layouts, color filter design)

• RAW-to-task or RAW-to-label approaches for visual tasks

• Co-design of neural networks and sensor hardware

• Low-bit and energy-efficient sensing for embedded or mobile devices

• Benchmarks, datasets, and metrics for evaluating sensor-model pipelines

• Generalization and robustness of sensor-model systems in real-world conditions

• Failure case studies and negative results in joint optimization pipelines

Join us to engage with cutting-edge research and cross-disciplinary discussions that are shaping the future of sensor systems for real-world deployment across mobile, embedded, and autonomous platforms.

• Submission Deadline: August 22, 2025 September 11, 2025

• Review Period & Oral Decisions: September 12 – September 17, 2025

• Notification of Acceptance: September 25, 2025

• Camera-Ready Deadline: October 15, 2025

• Workshop Date: December 7, 2025

All deadlines are End of Date Anywhere on Earth (11:59 PM AoE)

8:30 - 8:40: Opening Remarks 

8:40 - 9:20: Keynote - Michael Felsberg: Learning in Low-Level Vision

9:20 - 10:00: COFFEE BREAK

10:00 - 10:40: Keynote - Daisuke Iso: Reinvention of the Imaging and Sensing Pilpeline for AI

10:40 - 11:20: Keynote - Hyung-Sin Kim:  Beyond Scaling: Adaptive Sensing for   Neural Networks in the Physical World

11:30 - 11:45: Oral Presentation - Syed Muhammad Kazim, Patrick Müller, Ivo Ihrke: Deep Coded Wavefront Sensing:  Bridging the Simulation-Experiment Gap
11:45 - 12:00: Oral Presentation - Serban Cristian Tudosie, Alexander Denker, Zeljko Kereta, Simon Arridge: Learning Binary Sampling Patterns for Single-Pixel Imaging using Bilevel Optimisation.

12:00 - 13:30: LUNCH

13:00 - 14:30: Poster Session

14:30 - 15:10: Keynote - Felix Heide: Cameras as nanophotonic optical computers

15:10 - 15:45: COFFEE BREAK

15:45 - 16:25: Keynote - Michael S. Brown: Transitioning to the Neural ISP

16:25 - 16:55: Awards and Moderated Discussion

16:55 - 17:00: Closing Remarks

All times in PST. 

This schedule is tentative and subject to change.

Please visit the Call for papers page for detailed guidelines.

Call for Reviewers

If you are interested in contributing to our paper review process, please write contact us at l2s-workshop@googlegroups.com. We will publicly acknowledge our program committee members. Your expertise and time dedicated to this effort are greatly appreciated and crucial to the success of the workshop.