Efficient algorithms for motion and deformation recovery with biological applications. - Lopamudra Mukherjee; Jinhui Xu 001; Artem Pliss; Ronald Berezney (SMC (4), 2004)

Efficient geometric techniques for reconstructing 3D vessel trees from biplane image. - Vikas Singh; Lopamudra Mukherjee; Jinhui Xu 001; Kenneth R. Hoffmann; Guang Xu; Zhenming Chen (SCG, 2005)

Motion Tracking and Intensity Surface Recovery in Microscopic Nuclear Images. - Lopamudra Mukherjee; Mingen Lin; Jinhui Xu 001; Ronald Berezney (MICCAI, 2005)

On Mobility Analysis of Functional Sites from Time Lapse Microscopic Image Sequences of Living Cell Nucleus. - Lopamudra Mukherjee; Vikas Singh; Jinhui Xu 001; Kishore S. Malyavantham; Ronald Berezney (MICCAI (2), 2006)

Solving the brachytherapy seed localization problem using geometric and linear programming techniques. - Vikas Singh; Lopamudra Mukherjee; Jinhui Xu 001; Kenneth R. Hoffmann (SAC, 2006)

Generalized Median Graphs: Theory and Applications. - Lopamudra Mukherjee; Vikas Singh; Jiming Peng; Jinhui Xu 001; Michael J. Zeitz; Ronald Berezney (ICCV, 2007)

Limited view CT reconstruction via constrained metric labeling. - Vikas Singh; Petru M. Dinu; Lopamudra Mukherjee; Jinhui Xu 001; Kenneth R. Hoffmann (ICCV, 2007)

Ensemble Clustering using Semidefinite Programming. - Vikas Singh; Lopamudra Mukherjee; Jiming Peng; Jinhui Xu 001 (NIPS, 2007)

Brachytherapy Seed Localization Using Geometric and Linear Programming Techniques. - Vikas Singh; Lopamudra Mukherjee; Jinhui Xu 001; Kenneth R. Hoffmann; Petru M. Dinu; M. Podgorsak (IEEE Trans. Medical Imaging, 2007)

Cortical Surface Thickness as a Classifier: Boosting for Autism Classification. - Vikas Singh; Lopamudra Mukherjee; Moo K. Chung (MICCAI (1), 2008)

Limited view CT reconstruction and segmentation via constrained metric labeling. - Vikas Singh; Lopamudra Mukherjee; Petru M. Dinu; Jinhui Xu 001; Kenneth R. Hoffmann (Comput. Vis. Image Underst., 2008)

Half-integrality based algorithms for cosegmentation of images. - Lopamudra Mukherjee; Vikas Singh; Charles R. Dyer (CVPR, 2009)

Generalized median graphs and applications. - Lopamudra Mukherjee; Vikas Singh; Jiming Peng; Jinhui Xu 001; Michael J. Zeitz; Ronald Berezney (J. Comb. Optim., 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)

Learning kernels for variants of normalized cuts: Convex relaxations and applications. - Lopamudra Mukherjee; Vikas Singh; Jiming Peng; Chris Hinrichs (CVPR, 2010)

Ensemble clustering using semidefinite programming with applications. - Vikas Singh; Lopamudra Mukherjee; Jiming Peng; Jinhui Xu 001 (Mach. Learn., 2010)

Scale invariant cosegmentation for image groups. - Lopamudra Mukherjee; Vikas Singh; Jiming Peng (CVPR, 2011)

Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets. - Lopamudra Mukherjee; Vikas Singh; Jia Xu 011; Maxwell D. Collins (ECCV (4), 2012)

An efficient algorithm for maximal margin clustering. - Jiming Peng; Lopamudra Mukherjee; Vikas Singh; Dale Schuurmans; Linli Xu (J. Glob. Optim., 2012)

GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. - Jia Xu 011; Vamsi K. Ithapu; Lopamudra Mukherjee; James M. Rehg; Vikas Singh (ICCV, 2013)

Spectral Clustering with a Convex Regularizer on Millions of Images. - Maxwell D. Collins; Ji Liu 002; Jia Xu 011; Lopamudra Mukherjee; Vikas Singh (ECCV (3), 2014)

Gaze-enabled egocentric video summarization via constrained submodular maximization. - Jia Xu 011; Lopamudra Mukherjee; Yin Li 003; Jamieson Warner; James M. Rehg; Vikas Singh (CVPR, 2015)

An NMF Perspective on Binary Hashing. - Lopamudra Mukherjee; Sathya N. Ravi; Vamsi K. Ithapu; Tyler Holmes; Vikas Singh (ICCV, 2015)

Non-negative Sparse Coding with Regularizer for Image Classification. - Lopamudra Mukherjee; Alex Hall (WACV, 2015)

Network Flow Formulations for Learning Binary Hashing. - Lopamudra Mukherjee; Jiming Peng; Trevor Sigmund; Vikas Singh (ECCV (5), 2016)

Filter Flow Made Practical: Massively Parallel and Lock-Free. - Sathya N. Ravi; Yunyang Xiong; Lopamudra Mukherjee; Vikas Singh (CVPR, 2017)

A Biresolution Spectral Framework for Product Quantization. - Lopamudra Mukherjee; Sathya N. Ravi; Jiming Peng; Vikas Singh (CVPR, 2018)

Neighborhood regularized image superresolution for applications to microscopic imaging. - Lopamudra Mukherjee; Adib Keikhosravi; Kevin W. Eliceiri (ISBI, 2018)

Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. - Zihang Meng; Lopamudra Mukherjee; Yichao Wu; Vikas Singh; Sathya N. Ravi (NeurIPS, 2021)

A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis. - Daniel Szelogowski; Lopamudra Mukherjee; Benjamin Whitcomb (ISMIR, 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)

SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting. - Hui Chen; Viet Luong; Lopamudra Mukherjee; Vikas Singh (ICLR, 2025)