activity
20162026
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations · 2.2k across the 48 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 13 cited

Generating unseen complex scenes: are we there yet?

Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano

Although recent complex scene conditional generation models generate increasingly appealing scenes, it is very hard to assess which models perform better and why. This is often due…

cs.CV2020★ 2 cited

Instance Selection for GANs

Terrance DeVries, Michal Drozdzal, Graham W. Taylor

Recent advances in Generative Adversarial Networks (GANs) have led to their widespread adoption for the purposes of generating high quality synthetic imagery. While capable of gene…

eess.IV2020★ 38 cited

Active MR k-space Sampling with Reinforcement Learning

Luis Pineda, Sumana Basu, Adriana Romero +2

Deep learning approaches have recently shown great promise in accelerating magnetic resonance image (MRI) acquisition. The majority of existing work have focused on designing bette…

cs.CV2020★ 25 cited

3D Shape Reconstruction from Vision and Touch

Edward J. Smith, Roberto Calandra, Adriana Romero +4

When a toddler is presented a new toy, their instinctual behaviour is to pick it upand inspect it with their hand and eyes in tandem, clearly searching over its surface to properly…

eess.IV2020★ 19 cited

Extending Unsupervised Neural Image Compression With Supervised Multitask Learning

David Tellez, Diederik Hoppener, Cornelis Verhoef +5

We focus on the problem of training convolutional neural networks on gigapixel histopathology images to predict image-level targets. For this purpose, we extend Neural Image Compre…