activity
20162023
most citedRiver Ice Segmentation with Deep Learning

74 citations · 173 across the 30 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 4 cited

Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention

Logan Gilmour, Nilanjan Ray

CNNs, initially inspired by human vision, differ in a key way: they sample uniformly, rather than with highest density in a focal point. For very large images, this makes training…

cs.CV2020★ 3 cited

Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image Registration

Abhishek Nan, Matthew Tennant, Uriel Rubin +1

Autograd-based software packages have recently renewed interest in image registration using homography and other geometric models by gradient descent and optimization, e.g., AirLab…

cs.CV2020

To Filter Prune, or to Layer Prune, That Is The Question

Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh +2

Recent advances in pruning of neural networks have made it possible to remove a large number of filters or weights without any perceptible drop in accuracy. The number of parameter…

cs.CV2020

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

Jakaria Rabbi, Nilanjan Ray, Matthias Schubert +2

The detection performance of small objects in remote sensing images is not satisfactory compared to large objects, especially in low-resolution and noisy images. A generative adver…

cs.CV2020★ 15 cited

DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration

Abhishek Nan, Matthew Tennant, Uriel Rubin +1

In this work, we present a novel unsupervised image registration algorithm. It is differentiable end-to-end and can be used for both multi-modal and mono-modal registration. This i…