11 citations · 11 across the 3 of their papers we have counts for
4 papers
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman +4
Medical image segmentation is a critical task that plays a vital role in diagnosis, treatment planning, and disease monitoring. Accurate segmentation of anatomical structures and a…
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
Reza Azad, Amirhossein Kazerouni, Moein Heidari +6
The remarkable performance of the Transformer architecture in natural language processing has recently also triggered broad interest in Computer Vision. Among other merits, Transfo…
Deep Hashing with Hash Center Update for Efficient Image Retrieval
Abin Jose, Daniel Filbert, Christian Rohlfing +1
In this paper, we propose an approach for learning binary hash codes for image retrieval. Canonical Correlation Analysis (CCA) is used to design two loss functions for training a n…
Optimized Feature Space Learning for Generating Efficient Binary Codes for Image Retrieval
Abin Jose, Erik Stefan Ottlik, Christian Rohlfing +1
In this paper we propose an approach for learning low dimensional optimized feature space with minimum intra-class variance and maximum inter-class variance. We address the problem…