5 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.AI2023★ 5 cited
Precise Benchmarking of Explainable AI Attribution Methods
Rafaël Brandt, Daan Raatjens, Georgi Gaydadjiev
The rationale behind a deep learning model's output is often difficult to understand by humans. EXplainable AI (XAI) aims at solving this by developing methods that improve interpr…
cs.CV2020★ 2 cited
MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees
Rafael Brandt, Nicola Strisciuglio, Nicolai Petkov
Efficient yet accurate extraction of depth from stereo image pairs is required by systems with low power resources, such as robotics and embedded systems. State-of-the-art stereo m…