Ahmed Taha

According to our database, Ahmed Taha authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Problems and shortcuts in deep learning for screening mammography.

Trevor Tsue, Brent Mombourquette, Ahmed Taha, Thomas Paul Matthews, Yen Nhi Truong Vu, Jason Su

CoRR, 2023

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

Yen Nhi Truong Vu, Dan Guo, Ahmed Taha, Jason Su, Thomas Paul Matthews

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Deep is a Luxury We Don't Have.

Ahmed Taha, Yen Nhi Truong Vu, Brent Mombourquette, Thomas Paul Matthews, Jason Su, Sadanand Singh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Closing the Gap Between Classification and Retrieval Models.

Ahmed Taha

PhD thesis, 2021

SVMax: A Feature Embedding Regularizer.

Ahmed Taha, Alex Hanson, Abhinav Shrivastava, Larry Davis

CoRR, 2021

Knowledge Evolution in Neural Networks.

Ahmed Taha, Abhinav Shrivastava, Larry S. Davis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Boosting Standard Classification Architectures Through a Ranking Regularizer.

Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A Generic Visualization Approach for Convolutional Neural Networks.

Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems.

Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis

CoRR, 2019

In Defense of the Triplet Loss for Visual Recognition.

Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Larry Davis

CoRR, 2019

Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems.

Ahmed Taha, Yi-Ting Chen, Xitong Yang, Teruhisa Misu, Larry Davis

CoRR, 2019

2018

Two Stream Self-Supervised Learning for Action Recognition.

Ahmed Taha, Moustafa Meshry, Xitong Yang, Yi-Ting Chen, Larry Davis

CoRR, 2018

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

Ahmed Taha, Pechin Lo, Junning Li, Tao Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Segmentation of Renal Structures for Image-Guided Surgery.

Junning Li, Pechin Lo, Ahmed Taha, Hang Wu, Tao Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Texture Synthesis with Recurrent Variational Auto-Encoder.

Rohan Chandra, Sachin Grover, Kyungjun Lee, Moustafa Meshry, Ahmed Taha

CoRR, 2017

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

Ahmed Taha, Marwan Torki

CoRR, 2017

2015

Seeded Laplacian: An interactive image segmentation approach using eigenfunctions.

Ahmed Taha, Marwan Torki

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Multi-Modality Feature Transform: An Interactive Image Segmentation Approach.

Moustafa Meshry, Ahmed Taha, Marwan Torki

Proceedings of the British Machine Vision Conference 2015, 2015