Lopamudra Mukherjee

According to our database, Lopamudra Mukherjee authored at least 31 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data.

Lopamudra Mukherjee, Abdul Kader Sagar, Jonathan N. Ouellette, Jyoti J. Watters, Kevin W. Eliceiri

Frontiers Neuroinformatics, 2022

A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis.

Daniel Szelogowski, Lopamudra Mukherjee, Benjamin Whitcomb

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021

Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs.

Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2018

Neighborhood regularized image superresolution for applications to microscopic imaging.

Lopamudra Mukherjee, Adib Keikhosravi, Kevin W. Eliceiri

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A Biresolution Spectral Framework for Product Quantization.

Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Filter Flow Made Practical: Massively Parallel and Lock-Free.

Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Network Flow Formulations for Learning Binary Hashing.

Lopamudra Mukherjee, Jiming Peng, Trevor Sigmund, Vikas Singh

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Non-negative Sparse Coding with Regularizer for Image Classification.

Lopamudra Mukherjee, Alex Hall

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

An NMF Perspective on Binary Hashing.

Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Gaze-enabled egocentric video summarization via constrained submodular maximization.

Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M. Rehg, Vikas Singh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Spectral Clustering with a Convex Regularizer on Millions of Images.

Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity.

Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

An efficient algorithm for maximal margin clustering.

Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu

J. Glob. Optim., 2012

Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets.

Lopamudra Mukherjee, Vikas Singh, Jia Xu, Maxwell D. Collins

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Scale invariant cosegmentation for image groups.

Lopamudra Mukherjee, Vikas Singh, Jiming Peng

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Ensemble clustering using semidefinite programming with applications.

Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu

Mach. Learn., 2010

Learning kernels for variants of normalized cuts: Convex relaxations and applications.

Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset.

Chris Hinrichs, Vikas Singh, Lopamudra Mukherjee, Guofan Xu, Moo K. Chung, Sterling C. Johnson

NeuroImage, 2009

Generalized median graphs and applications.

Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney

J. Comb. Optim., 2009

Half-integrality based algorithms for cosegmentation of images.

Lopamudra Mukherjee, Vikas Singh, Charles R. Dyer

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Limited view CT reconstruction and segmentation via constrained metric labeling.

Vikas Singh, Lopamudra Mukherjee, Petru M. Dinu, Jinhui Xu, Kenneth R. Hoffmann

Comput. Vis. Image Underst., 2008

Cortical Surface Thickness as a Classifier: Boosting for Autism Classification.

Vikas Singh, Lopamudra Mukherjee, Moo K. Chung

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007

Brachytherapy Seed Localization Using Geometric and Linear Programming Techniques.

Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann, Petru M. Dinu, M. Podgorsak

IEEE Trans. Medical Imaging, 2007

Ensemble Clustering using Semidefinite Programming.

Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Limited view CT reconstruction via constrained metric labeling.

Vikas Singh, Petru M. Dinu, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Generalized Median Graphs: Theory and Applications.

Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

Solving the brachytherapy seed localization problem using geometric and linear programming techniques.

Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann

Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

On Mobility Analysis of Functional Sites from Time Lapse Microscopic Image Sequences of Living Cell Nucleus.

Lopamudra Mukherjee, Vikas Singh, Jinhui Xu, Kishore S. Malyavantham, Ronald Berezney

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2005

Motion Tracking and Intensity Surface Recovery in Microscopic Nuclear Images.

Lopamudra Mukherjee, Mingen Lin, Jinhui Xu, Ronald Berezney

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Efficient geometric techniques for reconstructing 3D vessel trees from biplane image.

Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann, Guang Xu, Zhenming Chen

Proceedings of the 21st ACM Symposium on Computational Geometry, 2005

2004

Efficient algorithms for motion and deformation recovery with biological applications.

Lopamudra Mukherjee, Jinhui Xu, Artem Pliss, Ronald Berezney

Proceedings of the IEEE International Conference on Systems, 2004