Ahmed Taha | DeepAI

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∙ 08/11/2023

M M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector

Deep-learning-based object detection methods show promise for improving ...

0 Yen Nhi Truong Vu, et al. ∙

∙ 03/29/2023

Problems and shortcuts in deep learning for screening mammography

This work reveals undiscovered challenges in the performance and general...

0 Trevor Tsue, et al. ∙

∙ 08/11/2022

Deep is a Luxury We Don't Have

Medical images come in high resolutions. A high resolution is vital for ...

0 Ahmed Taha, et al. ∙

∙ 03/09/2021

Knowledge Evolution in Neural Networks

Deep learning relies on the availability of a large corpus of data (labe...

0 Ahmed Taha, et al. ∙

∙ 03/04/2021

SVMax: A Feature Embedding Regularizer

A neural network regularizer (e.g., weight decay) boosts performance by ...

0 Ahmed Taha, et al. ∙

∙ 07/19/2020

A Generic Visualization Approach for Convolutional Neural Networks

Retrieval networks are essential for searching and indexing. Compared to...

59 Ahmed Taha, et al. ∙

∙ 02/07/2019

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems

We introduce an unsupervised formulation to estimate heteroscedastic unc...

10 Ahmed Taha, et al. ∙

∙ 01/24/2019

In Defense of the Triplet Loss for Visual Recognition

We employ triplet loss as a space embedding regularizer to boost classif...

0 Ahmed Taha, et al. ∙

∙ 01/23/2019

Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems

We cast visual retrieval as a regression problem by posing triplet loss ...

0 Ahmed Taha, et al. ∙

∙ 06/18/2018

Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes

Semantic image segmentation plays an important role in modeling patient-...

0 Ahmed Taha, et al. ∙

∙ 06/16/2018

Two Stream Self-Supervised Learning for Action Recognition

We present a self-supervised approach using spatio-temporal signals betw...

0 Ahmed Taha, et al. ∙

∙ 04/12/2018

QRES: Quantitative Reasoning on Encrypted Security SLAs

While regulators advocate for higher cloud transparency, many Cloud Serv...

0 Ahmed Taha, et al. ∙

∙ 12/23/2017

Texture Synthesis with Recurrent Variational Auto-Encoder

We propose a recurrent variational auto-encoder for texture synthesis. A...

0 Rohan Chandra, et al. ∙

∙ 02/03/2017

Seeded Laplaican: An Eigenfunction Solution for Scribble Based Interactive Image Segmentation

In this paper, we cast the scribble-based interactive image segmentation...

0 Ahmed Taha, et al. ∙

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