Connectionists: [CfP] 6th Workshop on Image Matching: Local Features & Beyond at CVPR 2024 *DEADLINE IS COMING*

[FABIO BELLAVIA]

apologies for multiple posting, please distribute among interested parties

Call for Papers


*Image Matching: Local Features & Beyond*
*CVPR 2024 Workshop*


*Important dates*
- *Paper submission deadline*: March 25, 2024 [https://cmt3.research.microsoft.com/IMW2024]
- Notification to authors: April 11, 2024
- Camera-ready deadline: April 14, 2024 (hard deadline on April 14)
- Workshop date: TBC (June 17-18, 2024)

(All dates are at 11:59PM, Pacific Time, unless stated otherwise.)


*Overview* [https://image-matching-workshop.github.io]
We are happy to announce that the Sixth Workshop on Image Matching: Local Features and Beyond will be held at CVPR 2024 in Seattle, USA (June 17-18, exact time TBC).

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.


*Challenge* [https://www.kaggle.com/competitions/image-matching-challenge-2024]
We will also hold the sixth edition of the Image Matching Challenge (link corresponds to last year's edition), 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 relocalization, such as privacy-preserving representations.


*Invited speakers*
- Noah Snavely, Google Research/Cornell Tech
- Juan Tardós, Universidad de Zaragoza


*Paper submission* [https://cmt3.research.microsoft.com/IMW2024]
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.


*Organizers*
- Fabio Bellavia, University of Palermo
- Jiri Matas, Czech Technical University in Prague
- Dmytro Mishkin, Czech Technical University in Prague/HOVER Inc.
- Luca Morelli, University of Trento/Bruno Kessler Foundation
- Fabio Remondino, Bruno Kessler Foundation
- Amy Tabb, USDA-ARS-AFRS
- Eduard Trulls, Google
- Weiwei Sun, University of British Columbia
- Kwang Moo Yi, University of British Columbia