b'Nilanjan Ray'

research

∙ 08/03/2023

Predicting Ki67, ER, PR, and HER2 Statuses from H E-stained Breast Cancer Images

Despite the advances in machine learning and digital pathology, it is no...

0 Amir Akbarnejad, et al. ∙

research

∙ 07/25/2023

TMR-RD: Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection

Semi-supervised object detection (SSOD) can incorporate limited labeled ...

0 Seyed Mojtaba Marvasti-Zadeh, et al. ∙

research

∙ 06/22/2023

Document Image Cleaning using Budget-Aware Black-Box Approximation

Recent work has shown that by approximating the behaviour of a non-diffe...

0 Ganesh Tata, et al. ∙

research

∙ 05/23/2023

Towards Early Prediction of Human iPSC Reprogramming Success

This paper presents advancements in automated early-stage prediction of ...

0 Abhineet Singh, et al. ∙

research

∙ 03/06/2023

Weakly Supervised Realtime Dynamic Background Subtraction

Background subtraction is a fundamental task in computer vision with num...

0 Fateme Bahri, et al. ∙

research

∙ 11/23/2022

Crown-CAM: Reliable Visual Explanations for Tree Crown Detection in Aerial Images

Visual explanation of "black-box" models has enabled researchers and exp...

0 Seyed Mojtaba Marvasti-Zadeh, et al. ∙

research

∙ 10/07/2022

Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review

Bark beetle outbreaks can result in a devastating impact on forest ecosy...

0 Seyed Mojtaba Marvasti-Zadeh, et al. ∙

research

∙ 08/28/2022

Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field

This study proposes an end-to-end unsupervised diffeomorphic deformable ...

4 Ameneh Sheikhjafari, et al. ∙

research

∙ 08/16/2022

Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices

The focus of this paper is a proof of concept, machine learning (ML) pip...

0 Preetam Anbukarasu, et al. ∙

research

∙ 07/15/2022

Classification of Bark Beetle-Induced Forest Tree Mortality using Deep Learning

Bark beetle outbreaks can dramatically impact forest ecosystems and serv...

0 Rudraksh Kapil, et al. ∙

research

∙ 07/10/2022

Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey

In nature, the collective behavior of animals, such as flying birds is d...

0 Seyed Mojtaba Marvasti-Zadeh, et al. ∙

research

∙ 02/10/2022

Dynamic Background Subtraction by Generative Neural Networks

Background subtraction is a significant task in computer vision and an e...

0 Fateme Bahri, et al. ∙

research

∙ 02/01/2022

Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential

We present a postprocessing layer for deformable image registration to m...

0 Soumyadeep Pal, et al. ∙

research

∙ 02/01/2022

A training-free recursive multiresolution framework for diffeomorphic deformable image registration

Diffeomorphic deformable image registration is one of the crucial tasks ...

0 Ameneh Sheikhjafari, et al. ∙

research

∙ 12/18/2021

GPEX, A Framework For Interpreting Artificial Neural Networks

Machine learning researchers have long noted a trade-off between interpr...

0 Amir Akbarnejad, et al. ∙

research

∙ 10/15/2021

Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction

Dynamic model pruning is a recent direction that allows for the inferenc...

0 Sara Elkerdawy, et al. ∙

research

∙ 05/17/2021

Unknown-box Approximation to Improve Optical Character Recognition Performance

Optical character recognition (OCR) is a widely used pattern recognition...

0 Ayantha Randika, et al. ∙

research

∙ 08/10/2020

Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention

CNNs, initially inspired by human vision, differ in a key way: they samp...

0 Logan Gilmour, et al. ∙

research

∙ 07/27/2020

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

Autograd-based software packages have recently renewed interest in image...

8 Abhishek Nan, et al. ∙

research

∙ 07/11/2020

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

Recent advances in pruning of neural networks have made it possible to r...

37 Sara Elkerdawy, et al. ∙

research

∙ 03/20/2020

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...

0 Jakaria Rabbi, et al. ∙

research

∙ 01/27/2020

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

In this work, we present a novel unsupervised image registration algorit...

16 Abhishek Nan, et al. ∙

research

∙ 10/24/2019

Animal Detection in Man-made Environments

Automatic detection of animals that have strayed into human inhabited ar...

0 Abhineet Singh, et al. ∙

research

∙ 05/13/2019

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

Convolutional neural networks (CNNs) have emerged as the state-of-the-ar...

0 Sara Elkerdawy, et al. ∙

research

∙ 01/14/2019

River Ice Segmentation with Deep Learning

This paper deals with the problem of computing surface ice concentration...

8 Abhineet Singh, et al. ∙

research

∙ 12/02/2018

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...

0 Nhat M. Nguyen, et al. ∙

research

∙ 10/07/2018

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

Automated cell detection and localization from microscopy images are sig...

12 Yao Xue, et al. ∙

research

∙ 08/03/2018

Online Illumination Invariant Moving Object Detection by Generative Neural Network

Moving object detection (MOD) is a significant problem in computer visio...

2 Fateme Bahri, et al. ∙

research

∙ 01/25/2018

Generative Adversarial Networks using Adaptive Convolution

Most existing GANs architectures that generate images use transposed con...

0 Nhat M. Nguyen, et al. ∙

research

∙ 08/10/2017

Cell Detection with Deep Convolutional Neural Network and Compressed Sensing

The ability to automatically detect certain types of cells or cellular s...

0 Yao Xue, et al. ∙

research

∙ 03/15/2017

Face Recognition using Multi-Modal Low-Rank Dictionary Learning

Face recognition has been widely studied due to its importance in differ...

0 Homa Foroughi, et al. ∙

research

∙ 12/05/2016

Object Classification with Joint Projection and Low-rank Dictionary Learning

For an object classification system, the most critical obstacles towards...

0 Homa Foroughi, et al. ∙

research

∙ 11/27/2016

Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net

Deformable registration is ubiquitous in medical image analysis. Many de...

0 Sayan Ghosal, et al. ∙

research

∙ 11/16/2016

Convolutional Gated Recurrent Networks for Video Segmentation

Semantic segmentation has recently witnessed major progress, where fully...

0 Mennatullah Siam, et al. ∙

research

∙ 06/01/2016

Recurrent Fully Convolutional Networks for Video Segmentation

Image segmentation is an important step in most visual tasks. While conv...

0 Sepehr Valipour, et al. ∙

research

∙ 03/24/2016

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

In this paper, we aim at learning simultaneously a discriminative dictio...

0 Homa Foroughi, et al. ∙

Nilanjan Ray

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