NOTE: the workshop will be held in Room E1.21, Sir Martin Evans Building.
14:00-14:10 Welcome
14:10-15:00 Panel: Industrial Perspective - from Theoretical Advances to Practical Techniques
Mark Hall (Airbus)
Sriram Varadarajan (BAE Systems)
Richard Tomsett (IBM Research)
15:00-15:45 Paper session 1 - Interpretability Techniques for CNNs
How to Make CNNs Lie: the GradCAM Case Tom J Viering, Ziqi Wang, Marco Loog, Elmar Eisemann (Delft University of Technology & University of Copenhagen)
Gradient Weighted Superpixels for Interpretability in CNNs Thomas Hartley, Kirill Sidorov, Chris Willis & David Marshall (Cardiff University & BAE Systems)
15:45-16:15 Coffee Break / BMVC Poster Session
16:15-17:45 Paper session 2 - Explainability & Visualisation Techniques
Explanation based Handwriting Verification Mihir H Chauhan, Mohammad Abuzar Shaikh, Sargur Srihari (University at Buffalo)
Investigating Convolutional Neural Networks using Spatial Orderness Rohan Ghosh, Anupam Gupta (National University of Singapore)
Explainable Deep Learning for Video Recognition Tasks: a Framework and Recommendations Liam Hiley, Alun Preece, Yulia Hicks (Cardiff University)
Illuminated Decision Trees with Lucid Richard J Tomsett, David Mott (IBM Research)
17:45 Workshop ends
Recent years have seen significant advances in techniques for image processing and machine vision based on breakthroughs in machine learning and artificial intelligence, especially in the area of deep neural networks. However, such techniques are widely viewed as creating “black box” systems that are in some senses “inscrutable”, leading to concerns over their reliability, stability, and trustworthiness. Consequently, we have seen a surge of interest in approaches aimed at “opening the black boxes” commonly characterised by the terms interpretability and explainability.
Topics of interest include (but are not limited to):
We welcome either full papers (up to 9 pages) or short papers (4 pages) that we will select either for presentation or as posters. All submissions should follow the BMVC conference style. We particularly encourage PhD student-led submissions.
Submit your papers via the CMT submission site. [CLOSED]
Submission (long and short papers): Monday July 15th 2019 [EXTENDED]
Acceptance notification: Monday July 29th 2019
Final camera-ready versions: Monday August 19th 2019