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DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations., , , , , , , , , and 2 other author(s). WACV, page 1958-1968. IEEE, (2023)Attention Networks for Multi-Task Signal Analysis., , , , and . EMBC, page 184-187. IEEE, (2020)Accurate Silhouettes for Surveillance - Improved Motion Segmentation Using Graph Cuts., , , and . DICTA, page 369-374. IEEE Computer Society, (2010)Discovery of facial motions using deep machine perception., , , and . WACV, page 1-7. IEEE Computer Society, (2016)Deep Spatio-Temporal Features for Multimodal Emotion Recognition., , , , , and . WACV, page 1215-1223. IEEE Computer Society, (2017)Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks., , , and . WACV, page 1539-1548. IEEE Computer Society, (2018)Reduction of Feature Contamination for Hyper Spectral Image Classification., , , , and . DICTA, page 1-8. IEEE, (2021)A Comparison of Saliency Methods for Deep Learning Explainability., , , , , , and . DICTA, page 1-8. IEEE, (2021)Improved Stereo Image Matching Using Mutual Information and Hierarchical Prior Probabilities., , and . ICPR (2), page 937-940. IEEE Computer Society, (2002)Accurate silhouette segmentation using motion detection and graph cuts., , and . ISSPA, page 81-84. IEEE, (2010)