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08/04/2023
Enhancing Cell Tracking with a Time-Symmetric Deep Learning Approach
The accurate tracking of live cells using video microscopy recordings re...
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05/29/2022
Saliency Map Based Data Augmentation
Data augmentation is a commonly applied technique with two seemingly rel...
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05/21/2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems
Deep neural networks were applied with success in a myriad of applicatio...
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12/16/2021
Mitigating the Bias of Centered Objects in Common Datasets
Convolutional networks are considered shift invariant, but it was demons...
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11/02/2020
Receptive Field Size Optimization with Continuous Time Pooling
The pooling operation is a cornerstone element of convolutional neural n...
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10/16/2020
Filtered Batch Normalization
It is a common assumption that the activation of different layers in neu...
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07/20/2020
Sorted Pooling in Convolutional Networks for One-shot Learning
We present generalized versions of the commonly used maximum pooling ope...
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07/02/2019
MimosaNet: An Unrobust Neural Network Preventing Model Stealing
Deep Neural Networks are robust to minor perturbations of the learned ne...
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02/28/2019
Application-level Studies of Cellular Neural Network-based Hardware Accelerators
As cost and performance benefits associated with Moore's Law scaling slo...
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02/21/2019
Domain Partitioning Network
Standard adversarial training involves two agents, namely a generator an...
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10/30/2018