Ahmed Taha
Ahmed Taha
Bestätigte E-Mail-Adresse bei cs.umd.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Kid-net: convolution networks for kidney vessels segmentation from ct-volumes
A Taha, P Lo, J Li, T Zhao
International Conference on Medical Image Computing and Computer-Assisted …, 2018
342018
Boosting standard classification architectures through a ranking regularizer
A Taha, YT Chen, T Misu, A Shrivastava, L Davis
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
11*2020
Segmentation of renal structures for image-guided surgery
J Li, P Lo, A Taha, H Wu, T Zhao
International Conference on Medical Image Computing and Computer-Assisted …, 2018
72018
Unsupervised data uncertainty learning in visual retrieval systems
A Taha, YT Chen, T Misu, A Shrivastava, L Davis
arXiv preprint arXiv:1902.02586, 2019
42019
Two stream self-supervised learning for action recognition
A Taha, M Meshry, X Yang, YT Chen, L Davis
arXiv preprint arXiv:1806.07383, 2018
42018
Texture synthesis with recurrent variational auto-encoder
R Chandra, S Grover, K Lee, M Meshry, A Taha
arXiv preprint arXiv:1712.08838, 2017
42017
Seeded laplacian: An interactive image segmentation approach using eigenfunctions
A Taha, M Torki
2015 IEEE International Conference on Image Processing (ICIP), 11-15, 2015
42015
Exploring uncertainty in conditional multi-modal retrieval systems
A Taha, YT Chen, X Yang, T Misu, L Davis
arXiv preprint arXiv:1901.07702, 2019
32019
Multi-Modality Feature Transform: An Interactive Image Segmentation Approach.
M Meshry, A Taha, M Torki
BMVC, 72.1-72.12, 2015
32015
A Generic Visualization Approach for Convolutional Neural Networks
A Taha, X Yang, A Shrivastava, L Davis
Proceedings of the European Conference on Computer Vision (ECCV), 2020
22020
Systems and methods for segmentation of anatomical structures for image-guided surgery
J Li, PCP Lo, A Taha, T Zhao
US Patent 10,885,630, 2021
12021
Seeded laplaican: An eigenfunction solution for scribble based interactive image segmentation
A Taha, M Torki
arXiv preprint arXiv:1702.00882, 2017
12017
SVMax: A Feature Embedding Regularizer
A Taha, A Hanson, A Shrivastava, L Davis
arXiv preprint arXiv:2103.02770, 2021
2021
Methods and systems for visual recognition using triplet loss
A Taha, Y Chen, T Misu, L Davis
US Patent 10,902,303, 2021
2021
Knowledge Evolution in Neural Networks
A Taha, A Shrivastava, L Davis
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Systems for modeling uncertainty in multi-modal retrieval and methods thereof
A Taha, Y Chen, T Misu, L Davis, X Yang
US Patent App. 16/254,439, 2020
2020
Project Progress Report: Texture Synthesis
R Chandra, SGKLM Meshry, A Taha
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