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