research
∙
08/23/2023
Vision Transformer Adapters for Generalizable Multitask Learning
We introduce the first multitasking vision transformer adapters that lea...
share
research
∙
07/16/2023
Dense Multitask Learning to Reconfigure Comics
In this paper, we develop a MultiTask Learning (MTL) model to achieve de...
research
∙
10/10/2022
PoGaIN: Poisson-Gaussian Image Noise Modeling from Paired Samples
Image noise can often be accurately fitted to a Poisson-Gaussian distrib...
research
∙
08/25/2022
DSR: Towards Drone Image Super-Resolution
Despite achieving remarkable progress in recent years, single-image supe...
research
∙
06/06/2022
Fast Adversarial Training with Adaptive Step Size
While adversarial training and its variants have shown to be the most ef...
research
∙
02/03/2022
Robust Binary Models by Pruning Randomly-initialized Networks
We propose ways to obtain robust models against adversarial attacks from...
research
∙
01/02/2022
Image Denoising with Control over Deep Network Hallucination
Deep image denoisers achieve state-of-the-art results but with a hidden ...
research
∙
10/07/2021
Estimating Image Depth in the Comics Domain
Estimating the depth of comics images is challenging as such images a) a...
research
∙
06/01/2021
Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks
Image classification has significantly improved using deep learning. Thi...
research
∙
04/27/2021
NTIRE 2021 Depth Guided Image Relighting Challenge
Image relighting is attracting increasing interest due to its various ap...
research
∙
01/12/2021
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion
Following the performance breakthrough of denoising networks, improvemen...
research
∙
11/03/2020
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
Image restoration encompasses fundamental image processing tasks that ha...
research
∙
09/27/2020
AIM 2020: Scene Relighting and Illumination Estimation Challenge
We review the AIM 2020 challenge on virtual image relighting and illumin...
research
∙
07/18/2020
Volumetric Transformer Networks
Existing techniques to encode spatial invariance within deep convolution...
research
∙
06/15/2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
We analyze the influence of adversarial training on the loss landscape o...
research
∙
05/11/2020
VIDIT: Virtual Image Dataset for Illumination Transfer
Deep image relighting is gaining more interest lately, as it allows phot...
research
∙
04/29/2020
Editing in Style: Uncovering the Local Semantics of GANs
While the quality of GAN image synthesis has improved tremendously in re...
research
∙
04/14/2020
Divergence-Based Adaptive Extreme Video Completion
Extreme image or video completion, where, for instance, we only retain 1...
research
∙
03/19/2020
Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency
Salient object detection is evaluated using binary ground truth with the...
research
∙
03/16/2020
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
Super-resolution and denoising are ill-posed yet fundamental image resto...
research
∙
03/12/2020
W2S: A Joint Denoising and Super-Resolution Dataset
Denoising and super-resolution (SR) are fundamental tasks in imaging. Th...
research
∙
03/07/2020
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks
The large capacity of neural networks enables them to learn complex func...
research
∙
12/18/2019
Image Restoration using Plug-and-Play CNN MAP Denoisers
Plug-and-play denoisers can be used to perform generic image restoration...
research
∙
12/10/2019
On Certifying Robust Models by Polyhedral Envelope
Certifying neural networks enables one to offer guarantees on a model's ...
research
∙
07/05/2019
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Blind and universal image denoising consists of a unique model that deno...
research
∙
05/20/2019
Drone Shadow Tracking
Aerial videos taken by a drone not too far above the surface may contain...
research
∙
05/09/2019
Fast and Efficient Zero-Learning Image Fusion
We propose a real-time image fusion method using pre-trained neural netw...
research
∙
02/02/2019
Self-Binarizing Networks
We present a method to train self-binarizing neural networks, that is, n...
research
∙
10/08/2018
Detecting Memorization in ReLU Networks
We propose a new notion of `non-linearity' of a network layer with respe...
research
∙
09/11/2018
Fourier-Domain Optimization for Image Processing
Image optimization problems encompass many applications such as spectral...
research
∙
06/26/2018
Deep Feature Factorization For Concept Discovery
We propose Deep Feature Factorization (DFF), a method capable of localiz...
research
∙
05/29/2018
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal
Removing reflection artefacts from a single-image is a problem of both t...
research
∙
02/19/2018
Deep Residual Network for Joint Demosaicing and Super-Resolution
In digital photography, two image restoration tasks have been studied ex...
research
∙
11/27/2016
Uniform Information Segmentation
Size uniformity is one of the main criteria of superpixel methods. But s...
research
∙
11/11/2015
God(s) Know(s): Developmental and Cross-Cultural Patterns in Children Drawings
This paper introduces a novel approach to data analysis designed for the...
research
∙
06/24/2014