research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
03/13/2022
Multi-Bracket High Dynamic Range Imaging with Event Cameras
Modern high dynamic range (HDR) imaging pipelines align and fuse multipl...
research
∙
06/14/2021
TimeLens: Event-based Video Frame Interpolation
State-of-the-art frame interpolation methods generate intermediate frame...
research
∙
06/10/2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Contrastive self-supervised learning has outperformed supervised pretrai...
research
∙
05/17/2021
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
We present an approach for encoding visual task relationships to improve...
research
∙
04/28/2021
Exploring Relational Context for Multi-Task Dense Prediction
The timeline of computer vision research is marked with advances in lear...
research
∙
03/07/2021
Spectral Tensor Train Parameterization of Deep Learning Layers
We study low-rank parameterizations of weight matrices with embedded spe...
research
∙
02/11/2021
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
Being able to learn dense semantic representations of images without sup...
research
∙
08/24/2020
Automated Search for Resource-Efficient Branched Multi-Task Networks
The multi-modal nature of many vision problems calls for neural network ...
research
∙
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...
research
∙
07/13/2020
T-Basis: a Compact Representation for Neural Networks
We introduce T-Basis, a novel concept for a compact representation of a ...
research
∙
05/25/2020
Learning To Classify Images Without Labels
Is it possible to automatically classify images without the use of groun...
research
∙
04/28/2020
Revisiting Multi-Task Learning in the Deep Learning Era
Despite the recent progress in deep learning, most approaches still go f...
research
∙
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...
research
∙
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...
research
∙
06/11/2019
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation
State-of-the-art approaches for semantic segmentation rely on deep convo...
research
∙
05/28/2018
Exemplar Guided Unsupervised Image-to-Image Translation
Image-to-image translation task has become a popular topic recently. Mos...
research
∙
02/15/2018
Towards End-to-End Lane Detection: an Instance Segmentation Approach
Modern cars are incorporating an increasing number of driver assist feat...
research
∙
12/11/2017
Error Correction for Dense Semantic Image Labeling
Pixelwise semantic image labeling is an important, yet challenging, task...
research
∙
12/07/2017
Disentangled Person Image Generation
Generating novel, yet realistic, images of persons is a challenging task...
research
∙
08/08/2017
Fast Scene Understanding for Autonomous Driving
Most approaches for instance-aware semantic labeling traditionally focus...
research
∙
11/28/2016
What Is Around The Camera?
How much does a single image reveal about the environment it was taken i...
research
∙
03/27/2016