Accepted papers will be published in Springer!
We award the best paper with the SAIAD best Paper Award!
Call for Papers
We are soliciting high quality papers covering the topics listed below. Papers should follow the standard ECCV formatting instructions. Accepted papers will appear in the ECCV workshop proceedings.
Submission Deadline: 15th July
Extended Submission Deadline: 20th July, Anywhere on Earth (UTC-12)
Author Notification: 12th August
Camera ready due: 22nd August
Submission via CMT: https://cmt3.research.microsoft.com/SAIAD2022
Topics of Interest
The topics of interest include (but are not limited to):
Interpretable and explainable Deep Neural Networks
Standardization in Safe AI
Ethics and legal aspects in Safe AI
Safe Deep Neural Network design
Certification of DNNs
Detection of out-of-distribution data
Robustness to anomalies / out-of-distribution data / adversarial examples
Uncertainty modeling
Transparent DNN training
Integrating legal requirements
Novel evaluation schemes
We follow a high quality review process with a notable Program Comittee.
Andrea Kraus, Valeo
Andreas Bär, TUB
Arindam Das, Valeo
Fabian Hüger, Cariad
Gesina Schwalbe, Continental
Hanno Gottschalk, University of Wuppertal
Joachim Sicking, Fraunhofer
Karl Amende, Valeo
Markus Enzweiler, University of Applied Sciences Esslingen
Martin Simon, Valeo
Naveen Shankar Nagaraja, BMW Group
Oliver Grau, Intel
Oliver Wasenmüller, University of Applied Sciences Mannheim
Peter Schlicht, Cariad
Phillip Heidenreich, Opel
Senthil Yogamani, Qualcomm
Praneet Dutta, DeepMind
Xinshuo Weng, CMU
B. Ravi Kiran, Navya
Qing Rao, BMW AG