Nilanjan Ray

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 95

Top Venues

Publications

Mohammadjavad Matinkia, Nilanjan Ray
Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup Regularization. CoRR (2024)
Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Nadir Erbilgin, Nilanjan Ray
ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery. WACV (2024)
Seyed Mojtaba Marvasti-Zadeh, Nilanjan Ray, Nadir Erbilgin
Training-Based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection. WACV (2024)
Arnisha Khondaker, Nilanjan Ray
Learning Instance-Specific Parameters of Black-Box Models Using Differentiable Surrogates. CoRR (2024)
Jakaria Rabbi, Johannes Kiechle, Christian Beaulieu, Nilanjan Ray, Dana Cobzas
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning. CoRR (2024)
Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review. ACM Comput. Surv. 56 (4) (2024)
Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Tianqi Wang, Nilanjan Ray
Compact Depth-Wise Separable Precise Network for Depth Completion. IEEE Access 11 (2023)
Abhineet Singh, Ila Jasra, Omar Mouhammed, Nidheesh Dadheech, Nilanjan Ray, James Shapiro
Towards Early Prediction of Human iPSC Reprogramming Success. CoRR (2023)
Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Nadir Erbilgin, Nilanjan Ray
ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery. CoRR (2023)
Namitha Guruprasad, Penny J. Barnes, Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray
A Closer Look at Weak Supervision's Limitations in WSI Recurrence Score Prediction. BIBM (2023)
Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray
GPEX, A Framework For Interpreting Artificial Neural Networks. NeurIPS (2023)
Ganesh Tata, Katyani Singh, Eric Van Oeveren, Nilanjan Ray
Document Image Cleaning using Budget-Aware Black-Box Approximation. CoRR (2023)
Rudraksh Kapil, Guillermo Castilla, Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nadir Erbilgin, Nilanjan Ray
Orthomosaicking Thermal Drone Images of Forests via Simultaneously Acquired RGB Images. Remote. Sens. 15 (10) (2023)
Amir Akbarnejad, Nilanjan Ray, Penny J. Barnes, Gilbert Bigras
Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images. CoRR (2023)
Seyed Mojtaba Marvasti-Zadeh, Nilanjan Ray, Nadir Erbilgin
TMR-RD: Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection. CoRR (2023)
Ameneh Sheikhjafari, Michelle Noga, Ahmed Ahmed, Nilanjan Ray, Kumaradevan Punithakumar
GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration. IEEE Access 11 (2023)
Fateme Bahri, Nilanjan Ray
Weakly Supervised Realtime Dynamic Background Subtraction. CoRR (2023)
Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
Crown-CAM: Reliable Visual Explanations for Tree Crown Detection in Aerial Images. CoRR (2022)
Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray
A training-free recursive multiresolution framework for diffeomorphic deformable image registration. CoRR (2022)
Soumyadeep Pal, Matthew Tennant, Nilanjan Ray
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential. CoRR (2022)
Preetam Anbukarasu, Shailesh Nanisetty, Ganesh Tata, Nilanjan Ray
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices. CoRR (2022)
Seyed Mojtaba Marvasti-Zadeh, Mohammad N. S. Jahromi, Javad Khaghani, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey. CoRR (2022)
Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review. CoRR (2022)
Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar
Deep Learning Based Parametrization of Diffeomorphic Image Registration for the Application of Cardiac Image Segmentation. BIBM (2022)
Sara Elkerdawy, Mostafa Elhoushi, Hong Zhang, Nilanjan Ray
Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction. CVPR (2022)
Fateme Bahri, Nilanjan Ray
Dynamic Background Subtraction by Generative Neural Networks. AVSS (2022)
Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field. CoRR (2022)
Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
Classification of Bark Beetle-Induced Forest Tree Mortality using Deep Learning. CoRR (2022)
Soumyadeep Pal, Matthew Tennant, Nilanjan Ray
Towards Positive Jacobian: Learn to Postprocess for Diffeomorphic Image Registration with Matrix Exponential. ICPR (2022)
Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray
A training-free recursive multiresolution framework for diffeomorphic deformable image registration. Appl. Intell. 52 (11) (2022)
Fateme Bahri, Nilanjan Ray
Dynamic Background Subtraction by Generative Neural Networks. CoRR (2022)
Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray
GPEX, A Framework For Interpreting Artificial Neural Networks. CoRR (2021)
Amir Akbarnejad, Nilanjan Ray, Gilbert Bigras
Deep Fisher Vector Coding For Whole Slide Image Classification. ISBI (2021)
Sara Elkerdawy, Mostafa Elhoushi, Hong Zhang, Nilanjan Ray
Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction. CoRR (2021)
Hongyang Liu, Sara Elkerdawy, Nilanjan Ray, Mostafa Elhoushi
Layer Importance Estimation With Imprinting for Neural Network Quantization. CVPR Workshops (2021)
Ayantha Randika, Nilanjan Ray, Xiao Xiao, Allegra Latimer
Unknown-box Approximation to Improve Optical Character Recognition Performance. CoRR (2021)
Ayantha Randika, Nilanjan Ray, Xiao Xiao, Allegra Latimer
Unknown-Box Approximation to Improve Optical Character Recognition Performance. ICDAR (1) (2021)
Nhat M. Nguyen, Nilanjan Ray
End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation. MIDL (2020)
Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray
One-Shot Layer-Wise Accuracy Approximation For Layer Pruning. ICIP (2020)
Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray
Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image Registration. CoRR (2020)
Juiwen Ting, Kumaradevan Punithakumar, Nilanjan Ray
Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation. BIBM (2020)
Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. CoRR (2020)
Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration. CoRR (2020)
Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. Remote. Sens. 12 (9) (2020)
Shrimanti Ghosh, Nilanjan Ray, Pierre Boulanger, Kumaradevan Punithakumar, Michelle Noga
Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder. ISBI (2020)
Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray
To Filter Prune, or to Layer Prune, That Is the Question. ACCV (3) (2020)
Yuchen Yang, Nilanjan Ray
Foreground-focused domain adaption for object detection. ICPR (2020)
Logan Gilmour, Nilanjan Ray
Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention. CoRR (2020)
Abhineet Singh, Hayden Kalke, Mark Loewen, Nilanjan Ray
River Ice Segmentation With Deep Learning. IEEE Trans. Geosci. Remote. Sens. 58 (11) (2020)
Logan Gilmour, Nilanjan Ray
Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention. MIDL (2020)
Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration. MIDL (2020)
Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray
Animal Detection in Man-made Environments. WACV (2020)
Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray
To filter prune, or to layer prune, that is the question. CoRR (2020)
Sean Scheideman, Nilanjan Ray, Hong Zhang
A Flexible Method for Performance Evaluation of Robot Localization. ICRA (2020)
Nhat M. Nguyen, Nilanjan Ray
Generative Adversarial Networks Using Adaptive Convolution. CRV (2019)
Sara Elkerdawy, Hong Zhang, Nilanjan Ray
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning. CoRR (2019)
Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray
Animal Detection in Man-made Environments. CoRR (2019)
Li He, Nilanjan Ray, Yisheng Guan, Hong Zhang
Fast Large-Scale Spectral Clustering via Explicit Feature Mapping. IEEE Trans. Cybern. 49 (3) (2019)
Abhineet Singh, Hayden Kalke, Nilanjan Ray, Mark Loewen
River Ice Segmentation with Deep Learning. CoRR (2019)
Sara Elkerdawy, Hong Zhang, Nilanjan Ray
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter Pruning. ICIP (2019)
Yao Xue, Gilbert Bigras, Judith Hugh, Nilanjan Ray
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection. IEEE Trans. Medical Imaging 38 (11) (2019)
Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter W. Wood, Pierre Boulanger, Raj Padwal
Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network. ICASSP (2018)
Fateme Bahri, Moein Shakeri, Nilanjan Ray
Online Illumination Invariant Moving Object Detection by Generative Neural Network. CoRR (2018)
Nhat M. Nguyen, Nilanjan Ray
Generative Adversarial Networks using Adaptive Convolution. CoRR (2018)
Homa Foroughi, Nilanjan Ray, Hong Zhang
Object Classification With Joint Projection and Low-Rank Dictionary Learning. IEEE Trans. Image Process. 27 (2) (2018)
Yao Xue, Nilanjan Ray
Output Encoding by Compressed Sensing for Cell Detection with Deep Convnet. AAAI Workshops (2018)
Yao Xue, Gilbert Bigras, Judith Hugh, Nilanjan Ray
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection. CoRR (2018)
Nhat M. Nguyen, Nilanjan Ray
End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation. CoRR (2018)
Fateme Bahri, Moein Shakeri, Nilanjan Ray
Online Illumination Invariant Moving Object Detection by Generative Neural Network. ICVGIP (2018)
Sara Elkerdawy, Nilanjan Ray, Hong Zhang
Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning. ECCV Workshops (4) (2018)
Sayan Ghosal, Nilanjan Ray
Deep deformable registration: Enhancing accuracy by fully convolutional neural net. Pattern Recognit. Lett. 94 (2017)
Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray, Senthil Kumar Yogamani
Convolutional gated recurrent networks for video semantic segmentation in automated driving. ITSC (2017)
Shrimanti Ghosh, Nilanjan Ray, Pierre Boulanger
A Structured Deep-Learning Based Approach for the Automated Segmentation of Human Leg Muscle from 3D MRI. CRV (2017)
Baidya Nath Saha, Nilanjan Ray, Sara McArdle, Klaus Ley
A two-stage minimum spanning tree (MST) based clustering algorithm for 2D deformable registration of time sequenced images. ICIP (2017)
Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray
Convolutional gated recurrent networks for video segmentation. ICIP (2017)
Baidya Nath Saha, Nilanjan Ray, Sara McArdle, Klaus Ley
Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering Algorithm. MICCAI (1) (2017)
Yao Xue, Nilanjan Ray
Cell Detection with Deep Convolutional Neural Network and Compressed Sensing. CoRR (2017)
Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang
Face Recognition using Multi-Modal Low-Rank Dictionary Learning. CoRR (2017)
Li He, Nilanjan Ray, Hong Zhang
Error bound of Nyström-approximated NCut eigenvectors and its application to training size selection. Neurocomputing 239 (2017)
Yao Xue, Nilanjan Ray, Judith Hugh, Gilbert Bigras
A novel framework to integrate convolutional neural network with compressed sensing for cell detection. ICIP (2017)
Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang
Face recognition using multi-modal low-rank dictionary learning. ICIP (2017)
Shrimanti Ghosh, Pierre Boulanger, Scott T. Acton, Silvia S. Blemker, Nilanjan Ray
Automated 3D muscle segmentation from MRI data using convolutional neural network. ICIP (2017)
Sepehr Valipour, Mennatullah Siam, Martin Jägersand, Nilanjan Ray
Recurrent Fully Convolutional Networks for Video Segmentation. WACV (2017)
Homa Foroughi, Nilanjan Ray, Hong Zhang
Object Classification with Joint Projection and Low-rank Dictionary Learning. CoRR (2016)
Yao Xue, Nilanjan Ray, Judith Hugh, Gilbert Bigras
Cell Counting by Regression Using Convolutional Neural Network. ECCV Workshops (1) (2016)
Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray
Convolutional Gated Recurrent Networks for Video Segmentation. CoRR (2016)
Sepehr Valipour, Mennatullah Siam, Martin Jägersand, Nilanjan Ray
Recurrent Fully Convolutional Networks for Video Segmentation. CoRR (2016)
Sayan Ghosal, Nilanjan Ray
Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net. CoRR (2016)
Homa Foroughi, Nilanjan Ray, Hong Zhang
Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints. CoRR (2016)
Nilanjan Ray, Sara McArdle, Klaus Ley, Scott T. Acton
MISTICA: Minimum Spanning Tree-Based Coarse Image Alignment for Microscopy Image Sequences. IEEE J. Biomed. Health Informatics 20 (6) (2016)
Andy Hess, Nilanjan Ray, Hong Zhang
Synthetic Viewpoint Prediction. CRV (2016)
Satarupa Mukherjee, Stephanie Gil, Nilanjan Ray
Unique people count from monocular videos. Vis. Comput. 31 (10) (2015)
Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang
Joint Feature Selection with Low-rank Dictionary Learning. BMVC (2015)
Homa Foroughi, Nilanjan Ray, Hong Zhang
Robust people counting using sparse representation and random projection. Pattern Recognit. 48 (10) (2015)
Satarupa Mukherjee, Nilanjan Ray, Scott T. Acton
Counting cells from microscopy videos without tracking individual cells. ISBI (2014)
Nilanjan Ray, Satarupa Mukherjee, Krishna Kanth Nakka, Scott T. Acton, Silvia S. Blanker
3D-to-2D mapping for user interactive segmentation of human leg muscles from MRI data. GlobalSIP (2014)
Jiuyu Sun, Nilanjan Ray, Hong Zhang
VFCCV snake: A novel active contour model combining edge and regional information. ICIP (2014)
Baidya Nath Saha, Amritpal Saini, Nilanjan Ray, Russell Greiner, Judith Hugh, Mauro Tambasco
A robust convergence index filter for breast cancer cell segmentation. ICIP (2014)
Homa Foroughi, Nilanjan Ray, Hong Zhang
People counting with image retrieval using compressed sensing. ICASSP (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nilanjan Ray