research
∙
03/16/2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy
A recent line of work on black-box adversarial attacks has revived the u...
share
research
∙
12/19/2019
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Deep neural networks have improved image classification dramatically ove...
research
∙
10/29/2018
Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade
Camera pose estimation is an important problem in computer vision. Commo...
research
∙
07/11/2018
With Friends Like These, Who Needs Adversaries?
The vulnerability of deep image classification networks to adversarial a...
research
∙
04/06/2018
Learn To Pay Attention
We propose an end-to-end-trainable attention module for convolutional ne...
research
∙
01/25/2018
Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation
Reconstructing dense, volumetric models of real-world 3D scenes is impor...
research
∙
02/09/2017