Rudrasis Chakraborty

Yifei Xing

IEEE Trans. Neural Networks Learn. Syst., 2022

Transformer for 3D Point Clouds.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data.

[BibT_eX]

[DOI]

Jurijs Nazarovs

Songwong Tasneeyapant

Sathya N. Ravi

CoRR, 2022

Forward Operator Estimation in Generative Models with Kernel Transfer Operators.

[BibT_eX]

[DOI]

Zhichun Huang

Proceedings of the International Conference on Machine Learning, 2022

On the Versatile Uses of Partial Distance Correlation in Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Understanding Uncertainty Maps in Vision with Statistical Testing.

[BibT_eX]

[DOI]

Jurijs Nazarovs

Zhichun Huang

Songwong Tasneeyapant

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets.

[BibT_eX]

[DOI]

Vishnu Suresh Lokhande

Sathya N. Ravi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

A variational approximation for analyzing the dynamics of panel data.

[BibT_eX]

[DOI]

Jurijs Nazarovs

Songwong Tasneeyapant

Sathya N. Ravi

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

An Online Riemannian PCA for Stochastic Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Zihang Meng

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

Simpler Certified Radius Maximization by Propagating Covariances.

[BibT_eX]

[DOI]

Xingjian Zhen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Flow-based Generative Models for Learning Manifold to Manifold Mappings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ManifoldNorm: Extending normalizations on Riemannian Manifolds.

[BibT_eX]

[DOI]

CoRR, 2020

A GMM Based Algorithm To Generate Point-Cloud And Its Application To Neuroimaging.

[BibT_eX]

[DOI]

Liu Yang

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

An "Augmentation-Free" Rotation Invariant Classification Scheme on Point-Cloud and Its Application to Neuroimaging.

[BibT_eX]

[DOI]

Liu Yang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Orthogonal Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

POIRot: A rotation invariant omni-directional pointnet.

[BibT_eX]

[DOI]

Liu Yang

CoRR, 2019

Surreal: Complex-Valued Deep Learning as Principled Transformations on a Rotational Lie Group.

[BibT_eX]

[DOI]

Yifei Xing

CoRR, 2019

Spatial Transformer for 3D Points.

[BibT_eX]

[DOI]

CoRR, 2019

SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2019

DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification.

[BibT_eX]

[DOI]

Derek B. Archer

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Visual Similarity from Optimizing Feature and Memory On A Hypersphere.

[BibT_eX]

[DOI]

Xinlei Pan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Sur-Real: Frechet Mean and Distance Transform for Complex-Valued Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

ManifoldNet: A Deep Network Framework for Manifold-valued Data.

[BibT_eX]

[DOI]

CoRR, 2018

Statistical Recurrent Models on Manifold valued Data.

[BibT_eX]

[DOI]

CoRR, 2018

H-CNNs: Convolutional Neural Networks for Riemannian Homogeneous Spaces.

[BibT_eX]

[DOI]

CoRR, 2018

Dictionary Learning and Sparse Coding on Statistical Manifolds.

[BibT_eX]

[DOI]

CoRR, 2018

Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems.

[BibT_eX]

[DOI]

Indrasis Chakraborty

Draguna L. Vrabie

Proceedings of the 29th International Workshop on Principles of Diagnosis co-located with 10th IFAC Symposium on Fault Detection, 2018

A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers.

[BibT_eX]

[DOI]

Chun-Hao Yang

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

2017

Statistics on the (compact) Stiefel manifold: Theory and Applications.

[BibT_eX]

[DOI]

CoRR, 2017

Statistics on the space of trajectories for longitudinal data analysis.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Statistical analysis of longitudinal data and applications to neuro-imaging.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Sparse Exact PGA on Riemannian Manifolds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning.

[BibT_eX]

[DOI]

Søren Hauberg

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

2016

An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds.

[BibT_eX]

[DOI]

Dohyung Seo

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Feature Selection Using a Neural Framework With Controlled Redundancy.

[BibT_eX]

[DOI]

Sanghamitra Bandyopadhyay

Nikhil R. Pal

IEEE Trans. Neural Networks Learn. Syst., 2015

Priority based ∈ dominance: A new measure in multiobjective optimization.

[BibT_eX]

[DOI]

Ujjwal Maulik

Inf. Sci., 2015

Perceptual feature-based song genre classification using RANSAC.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Stud., 2015

Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis.

[BibT_eX]

[DOI]

Edward Ofori

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Recursive Fréchet Mean Computation on the Grassmannian and Its Applications to Computer Vision.

[BibT_eX]

[DOI]

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

2014

Sensor (Group Feature) Selection with Controlled Redundancy in a Connectionist Framework.

[BibT_eX]

[DOI]

Sanghamitra Bandyopadhyay

Chin-Teng Lin

Nikhil R. Pal

Int. J. Neural Syst., 2014

2013

Incorporating ϵ-dominance in AMOSA: Application to multiobjective 0/1 knapsack problem and clustering gene expression data.

[BibT_eX]

[DOI]

Ujjwal Maulik

Appl. Soft Comput., 2013

Genre-Based Classification of Song Using Perceptual Features.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing, 2013

2012

Song/instrumental classification using spectrogram based contextual features.

[BibT_eX]

[DOI]

Proceedings of the CUBE International IT Conference & Exhibition, 2012

Segmenting web-domains and hashtags using length specific models.

[BibT_eX]

[DOI]

Sriram Srinivasan

Sourangshu Bhattacharya