Lopamudra Mukherjee

32 papers A* 12A 2Misc 1Journal 7Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting. ICLR Hui Chen, Viet Luong, Lopamudra Mukherjee, Vikas Singh
2022	—	`conf`	A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis. ISMIR Daniel Szelogowski, Lopamudra Mukherjee, Benjamin Whitcomb
2022	J	`jnl`	A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data. Frontiers Neuroinformatics Lopamudra Mukherjee, Abdul Kader Sagar, Jonathan N. Ouellette, Jyoti J. Watters, Kevin W. Eliceiri
2021	A*	`conf`	Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. NeurIPS Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi
2018	A*	`conf`	A Biresolution Spectral Framework for Product Quantization. CVPR Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh
2018	—	`conf`	Neighborhood regularized image superresolution for applications to microscopic imaging. ISBI Lopamudra Mukherjee, Adib Keikhosravi, Kevin W. Eliceiri
2017	A*	`conf`	Filter Flow Made Practical: Massively Parallel and Lock-Free. CVPR Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh
2016	—	`conf`	Network Flow Formulations for Learning Binary Hashing. ECCV (5) Lopamudra Mukherjee, Jiming Peng, Trevor Sigmund, Vikas Singh
2015	A*	`conf`	An NMF Perspective on Binary Hashing. ICCV Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh
2015	A*	`conf`	Gaze-enabled egocentric video summarization via constrained submodular maximization. CVPR Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M. Rehg, Vikas Singh
2015	A	`conf`	Non-negative Sparse Coding with Regularizer for Image Classification. WACV Lopamudra Mukherjee, Alex Hall
2014	—	`conf`	Spectral Clustering with a Convex Regularizer on Millions of Images. ECCV (3) Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh
2013	A*	`conf`	GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. ICCV Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh
2012	J	`jnl`	An efficient algorithm for maximal margin clustering. J. Glob. Optim. Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu
2012	—	`conf`	Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets. ECCV (4) Lopamudra Mukherjee, Vikas Singh, Jia Xu, Maxwell D. Collins
2011	A*	`conf`	Scale invariant cosegmentation for image groups. CVPR Lopamudra Mukherjee, Vikas Singh, Jiming Peng
2010	J	`jnl`	Ensemble clustering using semidefinite programming with applications. Mach. Learn. Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu
2010	A*	`conf`	Learning kernels for variants of normalized cuts: Convex relaxations and applications. CVPR Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs
2009	J	`jnl`	Generalized median graphs and applications. J. Comb. Optim. Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney
2009	A*	`conf`	Half-integrality based algorithms for cosegmentation of images. CVPR Lopamudra Mukherjee, Vikas Singh, Charles R. Dyer
2009	J	`jnl`	Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. NeuroImage Chris Hinrichs, Vikas Singh, Lopamudra Mukherjee, Guofan Xu, Moo K. Chung, Sterling C. Johnson
2008	—	`conf`	Cortical Surface Thickness as a Classifier: Boosting for Autism Classification. MICCAI (1) Vikas Singh, Lopamudra Mukherjee, Moo K. Chung
2008	J	`jnl`	Limited view CT reconstruction and segmentation via constrained metric labeling. Comput. Vis. Image Underst. Vikas Singh, Lopamudra Mukherjee, Petru M. Dinu, Jinhui Xu, Kenneth R. Hoffmann
2007	J	`jnl`	Brachytherapy Seed Localization Using Geometric and Linear Programming Techniques. IEEE Trans. Medical Imaging Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann, Petru M. Dinu, M. Podgorsak
2007	—	`conf`	Ensemble Clustering using Semidefinite Programming. NIPS Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu
2007	A*	`conf`	Generalized Median Graphs: Theory and Applications. ICCV Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney
2007	A*	`conf`	Limited view CT reconstruction via constrained metric labeling. ICCV Vikas Singh, Petru M. Dinu, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann
2006	—	`conf`	On Mobility Analysis of Functional Sites from Time Lapse Microscopic Image Sequences of Living Cell Nucleus. MICCAI (2) Lopamudra Mukherjee, Vikas Singh, Jinhui Xu, Kishore S. Malyavantham, Ronald Berezney
2006	Misc	`conf`	Solving the brachytherapy seed localization problem using geometric and linear programming techniques. SAC Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann
2005	—	`conf`	Efficient geometric techniques for reconstructing 3D vessel trees from biplane image. SCG Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann, Guang Xu, Zhenming Chen
2005	A	`conf`	Motion Tracking and Intensity Surface Recovery in Microscopic Nuclear Images. MICCAI Lopamudra Mukherjee, Mingen Lin, Jinhui Xu, Ronald Berezney
2004	—	`conf`	Efficient algorithms for motion and deformation recovery with biological applications. SMC (4) Lopamudra Mukherjee, Jinhui Xu, Artem Pliss, Ronald Berezney