5 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
Proximal Splitting Networks for Image Restoration
Raied Aljadaany, Dipan K. Pal, Marios Savvides
Image restoration problems are typically ill-posed requiring the design of suitable priors. These priors are typically hand-designed and are fully instantiated throughout the proce…
Ring loss: Convex Feature Normalization for Face Recognition
Yutong Zheng, Dipan K. Pal, Marios Savvides
We motivate and present Ring loss, a simple and elegant feature normalization approach for deep networks designed to augment standard loss functions such as Softmax. We argue that…
Class Correlation affects Single Object Localization using Pre-trained ConvNets
Pokkalla Harsha Vardhan, Kunal Sekhri, Dipan K. Pal +1
The problem of object localization has become one of the mainstream problems of vision. Most of the algorithms proposed involve the design for the model to be specifically for loca…
How ConvNets model Non-linear Transformations
Dipan K. Pal, Marios Savvides
In this paper, we theoretically address three fundamental problems involving deep convolutional networks regarding invariance, depth and hierarchy. We introduce the paradigm of Tra…