Hatem Rashwan
Title
Cited by
Cited by
Year
Illumination-robust optical flow using a local directional pattern
MA Mohamed, HA Rashwan, B Mertsching, MA García, D Puig
IEEE Transactions on Circuits and Systems for Video Technology 24 (9), 1499-1508, 2014
592014
Towards vqa models that can read
A Singh, V Natarajan, M Shah, Y Jiang, X Chen, D Batra, D Parikh, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
512019
SLSDeep: Skin lesion segmentation based on dilated residual and pyramid pooling networks
MMK Sarker, HA Rashwan, F Akram, SF Banu, A Saleh, VK Singh, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
382018
Illumination robust optical flow model based on histogram of oriented gradients
HA Rashwan, MA Mohamed, MA García, B Mertsching, D Puig
German Conference on Pattern Recognition, 354-363, 2013
382013
Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern
M Abdel-Nasser, HA Rashwan, D Puig, A Moreno
Expert Systems with Applications 42 (24), 9499-9511, 2015
332015
Variational optical flow estimation based on stick tensor voting
HA Rashwan, MA Garcia, D Puig
IEEE Transactions on image processing 22 (7), 2589-2599, 2013
232013
Towards a trustworthy privacy in pervasive video surveillance systems.
APF Antoni Martínez-Ballesté, Hatem A. Rashwan
PerCom, 914-919, 2012
17*2012
Conditional generative adversarial and convolutional networks for X-ray breast mass segmentation and shape classification
VK Singh, S Romani, HA Rashwan, F Akram, N Pandey, MMK Sarker, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
152018
Improving the robustness of variational optical flow through tensor voting
HA Rashwan, D Puig, MA Garcia
Computer Vision and Image Understanding 116 (9), 953-966, 2012
152012
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network
VK Singh, HA Rashwan, S Romani, F Akram, N Pandey, MMK Sarker, ...
Expert Systems with Applications 139, 112855, 2020
142020
Understanding trust in privacy-aware video surveillance systems
HA Rashwan, A Solanas, D Puig, A Martínez-Ballesté
International Journal of Information Security 15 (3), 225-234, 2016
142016
BSCGAN: Deep Background Subtraction with Conditional Generative Adversarial Networks
MC Bakkay, HA Rashwan, H Salmane, L Khoudour, D Puigtt, Y Ruichek
2018 25th IEEE International Conference on Image Processing (ICIP), 4018-4022, 2018
122018
Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network.
VK Singh, HA Rashwan, F Akram, N Pandey, MMK Sarker, A Saleh, ...
CCIA, 373-380, 2018
72018
Towards multi-scale feature detection repeatable over intensity and depth images
HA Rashwan, S Chambon, P Gurdjos, G Morin, V Charvillat
2016 IEEE International Conference on Image Processing (ICIP), 36-40, 2016
72016
On improving the robustness of variational optical flow against illumination changes
MA Mohamed, HA Rashwan, B Mertsching, MA Garcia, D Puig
Proceedings of the 4th ACM/IEEE international workshop on Analysis and …, 2013
62013
Analyzing the evolution of breast tumors through flow fields and strain tensors
M Abdel-Nasser, A Moreno, HA Rashwan, D Puig
Pattern Recognition Letters 93, 162-171, 2017
52017
A trustworthy database for privacy-preserving video surveillance
A Martínez-Ballesté, HA Rashwan, J Castellà-Roca, D Puig
Proceedings of the Joint EDBT/ICDT 2013 Workshops, 179-183, 2013
52013
An efficient solution for breast tumor segmentation and classification in ultrasound images using deep adversarial learning
VK Singh, HA Rashwan, M Abdel-Nasser, M Sarker, M Kamal, F Akram, ...
arXiv preprint arXiv:1907.00887, 2019
42019
Macnet: Multi-scale atrous convolution networks for food places classification in egocentric photo-streams
MK Sarker, HA Rashwan, E Talavera, S Furruka Banu, P Radeva, D Puig
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
42018
Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation
MC Bakkay, S Chambon, HA Rashwan, C Lubat, S Barsotti
IET Computer Vision 12 (2), 138-145, 2017
42017
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Articles 1–20