Dear Colleagues,
We are excited to announce our NeurIPS 2025 Workshop "Learning to Sense (L2S)" for Co-Designing Sensors and Models for Vision Tasks, which will be held on December 6 or 7, 2025, in San Diego, United States.
🔗 Workshop Website:
https://sites.google.com/view/l2s-workshop/homeThis workshop brings together researchers from computer vision, machine learning, sensor design, and embedded systems to explore how sensor and model co-design can enable more efficient and robust real-world vision systems.
We aim to rethink the foundations of how machines sense the world by moving beyond fixed RGB pipelines and embracing learnable sensors, task-driven ISPs, and RAW-to-label paradigms.
📌 Topics of Interest include (but are not limited to):
- Sensor optimization for computer vision (e.g., pixel layout, bit-depth, filter design)
- Learnable and task-driven ISP pipelines
- RAW-to-task or RAW-to-label models
- Co-design of neural networks and sensor hardware
- Low-bit and energy-efficient sensing
- Benchmarks and metrics for sensor-model pipelines
- Robustness and generalization in real-world settings
- Negative results and failure case studies
✍️ Submission Tracks:
We invite original contributions and position papers in two tracks:
📅 Important Dates:
- Submission Deadline: August 22, 2025
- Review Period & Oral Decisions: August 23 – September 17, 2025
- Notification of Acceptance: September 22, 2025
- Camera-Ready Deadline: October 15, 2025
- Workshop Date: December 6 or 7, 2025
🎤 Invited Speakers:
- Prof. Avideh Zakhor (UC Berkeley)
- Dr. Daisuke Iso (Sony AI)
- Prof. Michael Felsberg (Linköping University)
- Prof. Michael S. Brown (York University & Samsung AI Centre, Toronto)
We hope you will consider submitting your work and joining us in San Diego for this exciting and forward-looking discussion on the future of sensing and perception systems. Please share this call with colleagues and collaborators who may be interested.
Best Regards,
Shashank Agnihotri
On behalf of the L2S Workshop Organizers
https://sites.google.com/view/l2s-workshop/home