Conference Information

ICCP 2027: IEEE International Conference on Computational Photography

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Submission Date:
2027-03-16 Due in 176 days
Notification Date:
2027-06-01
Conference Date:
2027-08-02
Location:
College Park, Maryland, USA
Years:
Viewed: 921   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

54.6 / 100
Ranked #869 of 5,683 conferences · Top 16%
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
81
Community attention (10%)
5
Public record completeness (15%)
70

Inputs used: Editions on record: 19 · Researchers who opened this page in the past 24 months: 1

Missing from the public record: Historical acceptance rates (+4.5)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-21

Call For Papers

ICCP 2027 (IEEE International Conference on Computational Photography) is an academic conference held in College Park, Maryland, USA on 2027-08-02. The paper submission deadline is 2027-03-16. Acceptance notifications are sent on 2027-06-01.

ICCP 2027 invites original, high-quality contributions in all areas of computational imaging and computational photography—spanning theory, systems, and applications. Topics of interest include, but are not limited to, sensors, optics, algorithms, machine learning, robotics, vision science, displays, perception, and related areas, as well as the following specific research directions. Computational cameras, illumination, and displays Sensing for robotics Advanced image and video processing Integration of imaging, physics, and machine learning Organizing and exploiting photo/video collections Structured light and time-of-flight imaging Appearance, shape, and illumination capture Computational optics Imaging models and limits Physics-based rendering, neural rendering, and differentiable rendering Applications: imaging and vision on mobile platforms, scientific imaging, medicine and biology, user interfaces, AR/VR systems
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