713 citations · 1.1k across the 19 of their papers we have counts for
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Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data
Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet +3
Training deep fully convolutional neural networks (F-CNNs) for semantic image segmentation requires access to abundant labeled data. While large datasets of unlabeled image data ar…
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network
Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri +4
Optical coherence tomography (OCT) is used for non-invasive diagnosis of diabetic macular edema assessing the retinal layers. In this paper, we propose a new fully convolutional de…
Learning Robust Hash Codes for Multiple Instance Image Retrieval
Sailesh Conjeti, Magdalini Paschali, Amin Katouzian +1
In this paper, for the first time, we introduce a multiple instance (MI) deep hashing technique for learning discriminative hash codes with weak bag-level supervision suited for la…