39 citations · 66 across the 14 of their papers we have counts for
14 papers
Delegated Authorization for Agents Constrained to Semantic Task-to-Scope Matching
Majed El Helou, Chiara Troiani, Benjamin Ryder +3
Authorizing Large Language Model driven agents to dynamically invoke tools and access protected resources introduces significant risks, since current methods for delegating authori…
Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition
Laura Mascarell, Yan L'Homme, Majed El Helou
Understanding the nature of high-quality summaries is crucial to further improve the performance of multi-document summarization. We propose an approach to characterize human-writt…
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…
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…
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…
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping
Ruofan Zhou, Majed El Helou, Daniel Sage +3
In fluorescence microscopy live-cell imaging, there is a critical trade-off between the signal-to-noise ratio and spatial resolution on one side, and the integrity of the biologica…
Drone Shadow Tracking
Xiaoyan Zou, Ruofan Zhou, Majed El Helou +1
Aerial videos taken by a drone not too far above the surface may contain the drone's shadow projected on the scene. This deteriorates the aesthetic quality of videos. With the pres…
Fourier-Domain Optimization for Image Processing
Majed El Helou, Frederike Dümbgen, Radhakrishna Achanta +1
Image optimization problems encompass many applications such as spectral fusion, deblurring, deconvolution, dehazing, matting, reflection removal and image interpolation, among oth…