39 citations · 56 across the 7 of their papers we have counts for
12 papers
Image Denoising with Control over Deep Network Hallucination
Qiyuan Liang, Florian Cassayre, Haley Owsianko +2
Deep image denoisers achieve state-of-the-art results but with a hidden cost. As witnessed in recent literature, these deep networks are capable of overfitting their training distr…
Fidelity Estimation Improves Noisy-Image Classification With Pretrained Networks
Xiaoyu Lin, Deblina Bhattacharjee, Majed El Helou +1
Image classification has significantly improved using deep learning. This is mainly due to convolutional neural networks (CNNs) that are capable of learning rich feature extractors…
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion
Xiaoqi Ma, Xiaoyu Lin, Majed El Helou +1
Following the performance breakthrough of denoising networks, improvements have come chiefly through novel architecture designs and increased depth. While novel denoising networks…
AIM 2020: Scene Relighting and Illumination Estimation Challenge
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk +34
We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different propos…
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…
Realizability of Planar Point Embeddings from Angle Measurements
Frederike Dümbgen, Majed El Helou, Adam Scholefield
Localization of a set of nodes is an important and a thoroughly researched problem in robotics and sensor networks. This paper is concerned with the theory of localization from inn…