Self-Supervised Dynamic Networks for Covariate Shift Robustness.
CoRR, 2020
Saliency driven image manipulation.
Mach. Vis. Appl., 2019
Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Adversarial Feedback Loop.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Dynamic-Net: Tuning the Objective Without Re-training.
CoRR, 2018
Learning to Maintain Natural Image Statistics.
CoRR, 2018
The Contextual Loss for Image Transformation with Non-aligned Data.
Proceedings of the Computer Vision - ECCV 2018, 2018
The 2018 PIRM Challenge on Perceptual Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Maintaining Natural Image Statistics with the Contextual Loss.
Proceedings of the Computer Vision - ACCV 2018, 2018
Template Matching with Deformable Diversity Similarity.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Photorealistic Style Transfer with Screened Poisson Equation.
Proceedings of the British Machine Vision Conference 2017, 2017
Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI.
Int. J. Biomed. Imaging, 2016
MS lesion segmentation using a multi-channel patch-based approach with spatial consistency.
Proceedings of the Medical Imaging 2015: Image Processing, 2015