Workshop on Image Matching: Local Features and Beyond Call for Papers

CVPR 2022 Workshop on Image Matching: Local Features and Beyond
 
Workshop website: https://image-matching-workshop.github.io
Challenge website: https://www.cs.ubc.ca/research/image-matching-challenge/
CMT website for paper submission: https://cmt3.research.microsoft.com/IMW2022
 
OVERVIEW
 
We are pleased to announce the fourth edition of the Image Matching
Workshop, co-located with CVPR 2022. Its goal is to encourage and
highlight novel strategies for image matching that deviate from and
advance traditional formulations, with a focus on large-scale,
wide-baseline matching for 3D reconstruction and pose estimation. This
can be achieved by applying new technologies to sparse feature
matching, or doing away with keypoints and descriptors entirely, such
as with dense solutions.
 
We will also hold the fourth edition of the Image Matching Challenge,
co-located with the workshop. Details will be announced in the coming
weeks.
 
TOPICS
 
Workshop topics include (but are not limited to):

* Formulations of keypoint extraction and matching pipelines with deep
networks.

* Application of geometric constraints into the training of deep
networks.

* Leveraging additional cues such as semantics and mono-depth
estimates.

* Methods addressing adversarial conditions where current methods fail
(weather changes, day versus night, etc.).

* Attention mechanisms to match salient image regions.

* Integration of differentiable components into 3D reconstruction
frameworks.

* Connecting local descriptors/image matching with global
descriptors/image retrieval.

* Matching across different data modalities such as aerial versus
ground.

* Large-scale evaluation of classical and modern methods for image
matching, by means of our open challenge.

* New perception devices such as event-based cameras.

* Other topics related to image matching, structure from motion,
mapping, and re-localization, such as privacy-preserving
representations.
 
SUBMISSION
 
We invite paper submissions up to 8 pages, excluding references and
acknowledgements. They should use the CVPR template and be submitted
to the CMT site. Submissions must contain novel work and will be
indexed in IEEE Xplore/CVF. They will receive at least two
double-blind reviews.
 
IMPORTANT DATES
 
* Paper submission deadline: March 28, 2022.
* Notification to authors: April 4, 2022.
* Camera-ready deadline: April 7, 2022 (hard deadline on April 8, 2022).
* Workshop date: June 20, 2022, afternoon (exact schedule TBA)
 
ORGANIZERS
 
* Vassileios Balntas, Scape Technologies
* Vincent Lepetit, École des Ponts ParisTech
* Jiri Matas, Czech Technical University
* Dmytro Mishkin, Czech Technical University
* Johannes Schönberger, Microsoft
* Eduard Trulls, Google
* Kwang Moo Yi, University of British Columbia

More information at https://image-matching-workshop.github.io