128 citations · 315 across the 51 of their papers we have counts for
7 papers · 1 filter
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
Majed El Helou, Sabine Süsstrunk
Classic image-restoration algorithms use a variety of priors, either implicitly or explicitly. Their priors are hand-designed and their corresponding weights are heuristically assi…
VIDIT: Virtual Image Dataset for Illumination Transfer
Majed El Helou, Ruofan Zhou, Johan Barthas +1
Deep image relighting is gaining more interest lately, as it allows photo enhancement through illumination-specific retouching without human effort. Aside from aesthetic enhancemen…
Divergence-Based Adaptive Extreme Video Completion
Majed El Helou, Ruofan Zhou, Frank Schmutz +2
Extreme image or video completion, where, for instance, we only retain 1% of pixels in random locations, allows for very cheap sampling in terms of the required pre-processing. The…
Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency
Gökhan Yildirim, Debashis Sen, Mohan Kankanhalli +1
Salient object detection is evaluated using binary ground truth with the labels being salient object class and background. In this paper, we corroborate based on three subjective e…
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks
Majed El Helou, Frederike Dümbgen, Sabine Süsstrunk
The large capacity of neural networks enables them to learn complex functions. To avoid overfitting, networks however require a lot of training data that can be expensive and time-…
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk
Super-resolution and denoising are ill-posed yet fundamental image restoration tasks. In blind settings, the degradation kernel or the noise level are unknown. This makes restorati…