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ORCIDLopamudra Mukherjee
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Journal Articles
- 2022
[j7]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)- 2012
- [j6]Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu:
An efficient algorithm for maximal margin clustering. J. Glob. Optim. 52(1): 123-137 (2012) - 2010
- [j5]Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu:
Ensemble clustering using semidefinite programming with applications. Mach. Learn. 79(1-2): 177-200 (2010) - 2009
- [j4]Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney:
Generalized median graphs and applications. J. Comb. Optim. 17(1): 21-44 (2009) - [j3]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): 138-149 (2009) - 2008
- [j2]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): 67-80 (2008) - 2007
- [j1]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): 1291-1304 (2007)
Conference and Workshop Papers
- 2022
- [c24]Daniel Szelogowski, Lopamudra Mukherjee, Benjamin Whitcomb:
A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis. ISMIR 2022: 900-907 - 2021
- [c23]Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi:
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. NeurIPS 2021: 29129-29141 - 2018
- [c22]Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh:
A Biresolution Spectral Framework for Product Quantization. CVPR 2018: 3329-3338 - [c21]Lopamudra Mukherjee, Adib Keikhosravi, Kevin W. Eliceiri:
Neighborhood regularized image superresolution for applications to microscopic imaging. ISBI 2018: 453-457 - 2017
- [c20]Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh:
Filter Flow Made Practical: Massively Parallel and Lock-Free. CVPR 2017: 5009-5018 - 2016
- [c19]Lopamudra Mukherjee, Jiming Peng, Trevor Sigmund, Vikas Singh:
Network Flow Formulations for Learning Binary Hashing. ECCV (5) 2016: 366-381 - 2015
- [c18]Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M. Rehg, Vikas Singh:
Gaze-enabled egocentric video summarization via constrained submodular maximization. CVPR 2015: 2235-2244 - [c17]Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh:
An NMF Perspective on Binary Hashing. ICCV 2015: 4184-4192 - [c16]Lopamudra Mukherjee, Alex Hall:
Non-negative Sparse Coding with Regularizer for Image Classification. WACV 2015: 852-859 - 2014
- [c15]Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh:
Spectral Clustering with a Convex Regularizer on Millions of Images. ECCV (3) 2014: 282-298 - 2013
- [c14]Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh:
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. ICCV 2013: 3376-3383 - 2012
- [c13]Lopamudra Mukherjee, Vikas Singh, Jia Xu, Maxwell D. Collins:
Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets. ECCV (4) 2012: 128-142 - 2011
- [c12]Lopamudra Mukherjee, Vikas Singh, Jiming Peng:
Scale invariant cosegmentation for image groups. CVPR 2011: 1881-1888 - 2010
- [c11]Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs:
Learning kernels for variants of normalized cuts: Convex relaxations and applications. CVPR 2010: 3145-3152 - 2009
- [c10]Lopamudra Mukherjee, Vikas Singh, Charles R. Dyer:
Half-integrality based algorithms for cosegmentation of images. CVPR 2009: 2028-2035 - 2008
- [c9]Vikas Singh, Lopamudra Mukherjee, Moo K. Chung:
Cortical Surface Thickness as a Classifier: Boosting for Autism Classification. MICCAI (1) 2008: 999-1007 - 2007
- [c8]Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney:
Generalized Median Graphs: Theory and Applications. ICCV 2007: 1-8 - [c7]Vikas Singh, Petru M. Dinu, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann:
Limited view CT reconstruction via constrained metric labeling. ICCV 2007: 1-8 - [c6]Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu:
Ensemble Clustering using Semidefinite Programming. NIPS 2007: 1353-1360 - 2006
- [c5]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: 577-585 - [c4]Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann:
Solving the brachytherapy seed localization problem using geometric and linear programming techniques. SAC 2006: 229-234 - 2005
- [c3]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: 368-369 - [c2]Lopamudra Mukherjee, Mingen Lin, Jinhui Xu, Ronald Berezney:
Motion Tracking and Intensity Surface Recovery in Microscopic Nuclear Images. MICCAI 2005: 876-884 - 2004
- [c1]Lopamudra Mukherjee, Jinhui Xu, Artem Pliss, Ronald Berezney:
Efficient algorithms for motion and deformation recovery with biological applications. SMC (4) 2004: 3110-3115
Coauthor Index
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