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07/20/2021
Active 3D Shape Reconstruction from Vision and Touch
Humans build 3D understandings of the world through active object explor...
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07/20/2020
Active MR k-space Sampling with Reinforcement Learning
Deep learning approaches have recently shown great promise in accelerati...
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07/07/2020
3D Shape Reconstruction from Vision and Touch
When a toddler is presented a new toy, their instinctual behaviour is to...
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01/22/2020
Learning to adapt class-specific features across domains for semantic segmentation
Recent advances in unsupervised domain adaptation have shown the effecti...
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07/11/2019
On the Evaluation of Conditional GANs
Conditional Generative Adversarial Networks (cGANs) are finding increasi...
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04/11/2019
Elucidating image-to-set prediction: An analysis of models, losses and datasets
In recent years, we have experienced a flurry of contributions in the mu...
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02/08/2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
The goal of MRI reconstruction is to restore a high fidelity image from ...
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01/31/2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Mesh models are a promising approach for encoding the structure of 3D ob...
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12/14/2018
Inverse Cooking: Recipe Generation from Food Images
People enjoy food photography because they appreciate food. Behind each ...
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11/21/2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measuremen...
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04/30/2018
On the iterative refinement of densely connected representation levels for semantic segmentation
State-of-the-art semantic segmentation approaches increase the receptive...
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10/30/2017
Graph Attention Networks
We present graph attention networks (GATs), novel neural network archite...
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05/21/2017
Image Segmentation by Iterative Inference from Conditional Score Estimation
Inspired by the combination of feedforward and iterative computations in...
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12/02/2016
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
Colorectal cancer (CRC) is the third cause of cancer death worldwide. Cu...
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11/28/2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
State-of-the-art approaches for semantic image segmentation are built on...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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12/19/2014