Lopamudra Mukherjee

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 10

Top Topics

Top Venues

Frontiers Neuroinformatics

Publications

Lopamudra Mukherjee, Abdul Kader Sagar, Jonathan N. Ouellette, Jyoti J. Watters, Kevin W. Eliceiri
A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data. Frontiers Neuroinformatics 16 (2022)
Daniel Szelogowski, Lopamudra Mukherjee, Benjamin Whitcomb
A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis. ISMIR (2022)
Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. NeurIPS (2021)
Lopamudra Mukherjee, Adib Keikhosravi, Kevin W. Eliceiri
Neighborhood regularized image superresolution for applications to microscopic imaging. ISBI (2018)
Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh
A Biresolution Spectral Framework for Product Quantization. CVPR (2018)
Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh
Filter Flow Made Practical: Massively Parallel and Lock-Free. CVPR (2017)
Lopamudra Mukherjee, Jiming Peng, Trevor Sigmund, Vikas Singh
Network Flow Formulations for Learning Binary Hashing. ECCV (5) (2016)
Lopamudra Mukherjee, Alex Hall
Non-negative Sparse Coding with Regularizer for Image Classification. WACV (2015)
Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh
An NMF Perspective on Binary Hashing. ICCV (2015)
Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M. Rehg, Vikas Singh
Gaze-enabled egocentric video summarization via constrained submodular maximization. CVPR (2015)
Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh
Spectral Clustering with a Convex Regularizer on Millions of Images. ECCV (3) (2014)
Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. ICCV (2013)
Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu
An efficient algorithm for maximal margin clustering. J. Glob. Optim. 52 (1) (2012)
Lopamudra Mukherjee, Vikas Singh, Jia Xu, Maxwell D. Collins
Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets. ECCV (4) (2012)
Lopamudra Mukherjee, Vikas Singh, Jiming Peng
Scale invariant cosegmentation for image groups. CVPR (2011)
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs
Learning kernels for variants of normalized cuts: Convex relaxations and applications. CVPR (2010)
Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu
Ensemble clustering using semidefinite programming with applications. Mach. Learn. 79 (1-2) (2010)
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney
Generalized median graphs and applications. J. Comb. Optim. 17 (1) (2009)
Chris Hinrichs, Vikas Singh, Lopamudra Mukherjee, Guofan Xu, Moo K. Chung, Sterling C. Johnson
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. NeuroImage 48 (1) (2009)
Lopamudra Mukherjee, Vikas Singh, Chuck R. Dyer
Half-integrality based algorithms for cosegmentation of images. CVPR (2009)
Vikas Singh, Lopamudra Mukherjee, Petru M. Dinu, Jinhui Xu, Kenneth R. Hoffmann
Limited view CT reconstruction and segmentation via constrained metric labeling. Comput. Vis. Image Underst. 112 (1) (2008)
Vikas Singh, Lopamudra Mukherjee, Moo K. Chung
Cortical Surface Thickness as a Classifier: Boosting for Autism Classification. MICCAI (1) (2008)
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney
Generalized Median Graphs: Theory and Applications. ICCV (2007)
Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu
Ensemble Clustering using Semidefinite Programming. NIPS (2007)
Vikas Singh, Petru M. Dinu, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann
Limited view CT reconstruction via constrained metric labeling. ICCV (2007)
Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann, Petru M. Dinu, M. Podgorsak
Brachytherapy Seed Localization Using Geometric and Linear Programming Techniques. IEEE Trans. Medical Imaging 26 (9) (2007)
Lopamudra Mukherjee, Vikas Singh, Jinhui Xu, Kishore S. Malyavantham, Ronald Berezney
On Mobility Analysis of Functional Sites from Time Lapse Microscopic Image Sequences of Living Cell Nucleus. MICCAI (2) (2006)
Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann
Solving the brachytherapy seed localization problem using geometric and linear programming techniques. SAC (2006)
Lopamudra Mukherjee, Mingen Lin, Jinhui Xu, Ronald Berezney
Motion Tracking and Intensity Surface Recovery in Microscopic Nuclear Images. MICCAI (2005)
Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann, Guang Xu, Zhenming Chen
Efficient geometric techniques for reconstructing 3D vessel trees from biplane image. SCG (2005)
Lopamudra Mukherjee, Jinhui Xu, Artem Pliss, Ronald Berezney
Efficient algorithms for motion and deformation recovery with biological applications. SMC (4) (2004)