objective

Numerous applications and algorithms exist to analyze well-exposed x-ray images captured of objects and people at close range, including luggage inspection and diagnostic CT imaging. Due to the close proximity of the x-ray source and receiver, images in these domains are typically well-exposed and free of major degradations. This workshop addresses the analysis and enhancement of degraded x-ray imagery resulting from, among other things, greater separation of the x-ray source and receiver, or low X-ray source intensity. DEXTER will explore the ways in which collections of degraded x-ray imagery can be analyzed to produce clear images and recognize contents of the scene.

 Workshop Format

Due to space constraints at the CVPR 2026 venue, DEXTER has been combined with two other workshops and will operate under the banner of the VISION'26 workshop. Workshop agenda and invited speakers will be announced on the VISION'26 website once they are determined. 

DEXTER will run an independent review process, with accepted papers appearing at the VISION'26 workshop. All accepted papers will appear in the CVPR Workshop proceedings and presented during the workshop's poster session. Short oral presentations of some accepted papers will also be invited, depending on the availability of time during the workshop agenda.

  Call for Papers

DEXTER welcomes the submission of previously unpublished work following the same policies and formats for the CVPR main conference. Technical topics of interest include:

• Restoration of degraded x-ray images: de-blurring, de-noising, super resolution, etc.

• Tomographic reconstruction from x-ray and related modalities, particularly from sparse-angles and degraded imagery.

• Object and material recognition from tomographic reconstructions and/or degraded imagery.

• Datasets and simulation tools enabling the development and/or evaluation of degraded x-ray imaging applications.

• New applications of x-ray imaging and/or tomographic reconstruction enabled by advancements in processing low-flux imagery.

Papers must be submitted to CMT: https://cmt3.research.microsoft.com/VISIONCVPR2026/

When creating a new submission select DEXTER as the track.

  Important Dates

Paper submission deadline: March 15, 2026

Notification deadline: April 1, 2026

Camera-ready deadline: April 11 2026