Stamatios Georgoulis | DeepAI

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∙ 08/24/2022

Event-based Image Deblurring with Dynamic Motion Awareness

Non-uniform image deblurring is a challenging task due to the lack of te...

4 Patricia Vitoria, et al. ∙

∙ 04/04/2022

FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty

The ability to make educated predictions about their surroundings, and a...

11 Liqian Ma, et al. ∙

∙ 03/31/2022

Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion

Recently, video frame interpolation using a combination of frame- and ev...

4 Stepan Tulyakov, et al. ∙

∙ 03/13/2022

Multi-Bracket High Dynamic Range Imaging with Event Cameras

Modern high dynamic range (HDR) imaging pipelines align and fuse multipl...

4 Nico Messikommer, et al. ∙

∙ 06/14/2021

TimeLens: Event-based Video Frame Interpolation

State-of-the-art frame interpolation methods generate intermediate frame...

3 Stepan Tulyakov, et al. ∙

∙ 06/10/2021

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations

Contrastive self-supervised learning has outperformed supervised pretrai...

9 Wouter Van Gansbeke, et al. ∙

∙ 05/17/2021

Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation

We present an approach for encoding visual task relationships to improve...

12 Suman Saha, et al. ∙

∙ 04/28/2021

Exploring Relational Context for Multi-Task Dense Prediction

The timeline of computer vision research is marked with advances in lear...

10 David Bruggemann, et al. ∙

∙ 03/07/2021

Spectral Tensor Train Parameterization of Deep Learning Layers

We study low-rank parameterizations of weight matrices with embedded spe...

15 Anton Obukhov, et al. ∙

∙ 02/11/2021

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals

Being able to learn dense semantic representations of images without sup...

9 Wouter Van Gansbeke, et al. ∙

∙ 08/24/2020

Automated Search for Resource-Efficient Branched Multi-Task Networks

The multi-modal nature of many vision problems calls for neural network ...

15 David Bruggemann, et al. ∙

∙ 07/24/2020

Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference

Multi-task networks are commonly utilized to alleviate the need for a la...

14 Menelaos Kanakis, et al. ∙

∙ 07/13/2020

T-Basis: a Compact Representation for Neural Networks

We introduce T-Basis, a novel concept for a compact representation of a ...

20 Anton Obukhov, et al. ∙

∙ 05/25/2020

Learning To Classify Images Without Labels

Is it possible to automatically classify images without the use of groun...

37 Wouter Van Gansbeke, et al. ∙

∙ 04/28/2020

Revisiting Multi-Task Learning in the Deep Learning Era

Despite the recent progress in deep learning, most approaches still go f...

1 Simon Vandenhende, et al. ∙

∙ 01/19/2020

MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning

In this paper, we highlight the importance of considering task interacti...

9 Simon Vandenhende, et al. ∙

∙ 12/15/2019

Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing

Nowadays, the increasingly growing number of mobile and computing device...

10 Suman Saha, et al. ∙

∙ 06/11/2019

Gated CRF Loss for Weakly Supervised Semantic Image Segmentation

State-of-the-art approaches for semantic segmentation rely on deep convo...

1 Anton Obukhov, et al. ∙

∙ 05/28/2018

Exemplar Guided Unsupervised Image-to-Image Translation

Image-to-image translation task has become a popular topic recently. Mos...

0 Liqian Ma, et al. ∙

∙ 02/15/2018

Towards End-to-End Lane Detection: an Instance Segmentation Approach

Modern cars are incorporating an increasing number of driver assist feat...

0 Davy Neven, et al. ∙

∙ 12/11/2017

Error Correction for Dense Semantic Image Labeling

Pixelwise semantic image labeling is an important, yet challenging, task...

0 Yu-Hui Huang, et al. ∙

∙ 12/07/2017

Disentangled Person Image Generation

Generating novel, yet realistic, images of persons is a challenging task...

0 Liqian Ma, et al. ∙

∙ 08/08/2017

Fast Scene Understanding for Autonomous Driving

Most approaches for instance-aware semantic labeling traditionally focus...

0 Davy Neven, et al. ∙

∙ 11/28/2016

What Is Around The Camera?

How much does a single image reveal about the environment it was taken i...

0 Stamatios Georgoulis, et al. ∙

∙ 03/27/2016

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination

In this paper we are extracting surface reflectance and natural environm...

0 Stamatios Georgoulis, et al. ∙

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