Sunday 7th December, 8:00 AM PDT (Local Time)
Sunday 7th December, 8:00 AM PDT (Local Time)
Upper Level Room 32AB
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 6 or 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
9:20 - 10:00: COFFEE BREAK
10:00 - 10:40: Keynote - Daisuke Iso
10:40 - 11:20: Keynote - Hyung-Sin Kim
11:30 - 11:40: Oral Presentation - Syed Muhammad Kazim, Patrick Müller, Ivo Ihrke: Deep Coded Wavefront Sensing: Bridging the Simulation-Experiment Gap
11:40 - 11:50: Oral Presentation - Zichao Li: Task-Driven, Non-Uniform Quantization for Ultra-Low-Bit Depth Visual Sensing.
11:50 - 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 - Avideh Zakhor
15:10 - 15:45: COFFEE BREAK
15:45 - 16:25: Keynote - Michael S. Brown
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.
University of Mannheim
University of Mannheim
University of Siegen
University of Siegen
University of Siegen
University of Siegen
University of Mannheim