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10/30/2022
DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision
The challenge in learning from dynamic graphs for predictive tasks lies ...
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03/11/2022
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI
Deep artificial neural networks (DNNs) have moved to the forefront of me...
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01/13/2021
Video action recognition for lane-change classification and prediction of surrounding vehicles
In highway scenarios, an alert human driver will typically anticipate ea...
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11/21/2020
Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks
Feature disentanglement of the foreground target objects and the backgro...
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08/25/2020
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles
In highway scenarios, an alert human driver will typically anticipate ea...
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05/10/2020
Compact Neural Representation Using Attentive Network Pruning
Deep neural networks have evolved to become power demanding and conseque...
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02/04/2020
Selective Segmentation Networks Using Top-Down Attention
Convolutional neural networks model the transformation of the input sens...
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11/16/2017
