Nilanjan Ray

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University of Alberta

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Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention

CNNs, initially inspired by human vision, differ in a key way: they samp...
08/10/2020 ∙ by Logan Gilmour, et al. ∙ 0 ∙ share

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

Autograd-based software packages have recently renewed interest in image...
07/27/2020 ∙ by Abhishek Nan, et al. ∙ 8 ∙ share

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To filter prune, or to layer prune, that is the question

Recent advances in pruning of neural networks have made it possible to r...
07/11/2020 ∙ by Sara Elkerdawy, et al. ∙ 37 ∙ share

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

The detection performance of small objects in remote sensing images is n...
03/20/2020 ∙ by Jakaria Rabbi, et al. ∙ 0 ∙ share

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

In this work, we present a novel unsupervised image registration algorit...
01/27/2020 ∙ by Abhishek Nan, et al. ∙ 16 ∙ share

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Animal Detection in Man-made Environments

Automatic detection of animals that have strayed into human inhabited ar...
10/24/2019 ∙ by Abhineet Singh, et al. ∙ 0 ∙ share

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Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning

Convolutional neural networks (CNNs) have emerged as the state-of-the-ar...
05/13/2019 ∙ by Sara Elkerdawy, et al. ∙ 0 ∙ share

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River Ice Segmentation with Deep Learning

This paper deals with the problem of computing surface ice concentration...
01/14/2019 ∙ by Abhineet Singh, et al. ∙ 8 ∙ share

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End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation

Differentiable programming is able to combine different functions or pro...
12/02/2018 ∙ by Nhat M. Nguyen, et al. ∙ 0 ∙ share

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Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection

Automated cell detection and localization from microscopy images are sig...
10/07/2018 ∙ by Yao Xue, et al. ∙ 12 ∙ share

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Online Illumination Invariant Moving Object Detection by Generative Neural Network

Moving object detection (MOD) is a significant problem in computer visio...
08/03/2018 ∙ by Fateme Bahri, et al. ∙ 2 ∙ share

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Generative Adversarial Networks using Adaptive Convolution

Most existing GANs architectures that generate images use transposed con...
01/25/2018 ∙ by Nhat M. Nguyen, et al. ∙ 0 ∙ share

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Cell Detection with Deep Convolutional Neural Network and Compressed Sensing

The ability to automatically detect certain types of cells or cellular s...
08/10/2017 ∙ by Yao Xue, et al. ∙ 0 ∙ share

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Face Recognition using Multi-Modal Low-Rank Dictionary Learning

Face recognition has been widely studied due to its importance in differ...
03/15/2017 ∙ by Homa Foroughi, et al. ∙ 0 ∙ share

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Object Classification with Joint Projection and Low-rank Dictionary Learning

For an object classification system, the most critical obstacles towards...
12/05/2016 ∙ by Homa Foroughi, et al. ∙ 0 ∙ share

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Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net

Deformable registration is ubiquitous in medical image analysis. Many de...
11/27/2016 ∙ by Sayan Ghosal, et al. ∙ 0 ∙ share

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Convolutional Gated Recurrent Networks for Video Segmentation

Semantic segmentation has recently witnessed major progress, where fully...
11/16/2016 ∙ by Mennatullah Siam, et al. ∙ 0 ∙ share

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Recurrent Fully Convolutional Networks for Video Segmentation

Image segmentation is an important step in most visual tasks. While conv...
06/01/2016 ∙ by Sepehr Valipour, et al. ∙ 0 ∙ share

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Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints

In this paper, we aim at learning simultaneously a discriminative dictio...
03/24/2016 ∙ by Homa Foroughi, et al. ∙ 0 ∙ share

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