2nd Workshop on Traditional Computer Vision in the Age of Deep Learning (TradiCV)
in conjunction with ECCV 2024
September 29, 2024
Call for Papers
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We invite submissions describing high-quality, well-documented, reproducible and original research. All submissions have to be through CMT in the ECCV'24 paper format. The submissions will undergo a thorough double-blind peer-review process. Topics of interest at TradiCV include but are not limited to:
Computer vision theory
Analytical and closed-form approaches
Minimal problems
Camera calibration and structure-from-motion
Optimization techniques for computer vision
Probabilistic approaches
Parametric and morphable models
Physics-based computer vision formulations
Neuroexplicit models in computer vision
Unsupervised/Self-supervised learning in vision
Resource-efficient computer vision techniques
Methods relying on computer graphics (e.g. image-based, inverse, and neural rendering)
Surveys, case studies, and evaluation reports (considering such aspects as data efficiency, power consumption, ethical considerations, and others)
Instructions
CMT webpage:
TBD
Important Dates
Paper Registration deadline: July 1, 2024
Paper submission deadline: July 8, 2024
Notification of acceptance: August 2, 2024
Camera-ready deadline: August 12, 2024