Rudrasis Chakraborty
19 papers · 2015–2022 · 7 conferences · across top CS/AI conferences
Achievements
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๐ Academic Marathon (7) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (7) ๐ Cross-Pollinator (13)
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Conference Polyglot
(7)
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Academic Marathon
(7)
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Renaissance Researcher
(6)
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Dynamic Duo
(13)
๐งฌ
Topic Evolution
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Trend Setter
โก
Prolific Year
(5)
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Century Club
(19)
๐๏ธ
Keyword Collector
(90)
๐ฅ
Unstoppable
(8)
Conferences
CVPR (7)
ICCV (5)
AAAI (2)
NIPS (2)
ECCV (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
manifold learning
(3)
riemannian manifold
(3)
manifold-valued datum
(2)
grassmann manifold
(2)
frechet mean
(2)
convolutional neural network
(2)
brain imaging
(2)
kernel methods
(2)
domain adaptation
(1)
robust classification
(1)
image classification
(1)
image reconstruction
(1)
adversarial training
(1)
geometric deep learning
(1)
medical imaging
(1)
uncertainty quantification
(1)
image generation
(1)
statistical testing
(1)
hypothesis testing
(1)
computer vision
(1)
Papers
On the Versatile Uses of Partial Distance Correlation in Deep Learning
ECCV 2022
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
CVPR 2022
Understanding Uncertainty Maps in Vision With Statistical Testing
CVPR 2022
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
ICML 2022
Simpler Certified Radius Maximization by Propagating Covariances
CVPR 2021
A variational approximation for analyzing the dynamics of panel data
UAI 2021
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
NIPS 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings
AAAI 2021
Nystrรถmformer: A Nystrรถm-based Algorithm for Approximating Self-Attention
AAAI 2021
Orthogonal Convolutional Neural Networks
CVPR 2020
Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains
ICCV 2019
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data
ICCV 2019
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
NIPS 2018
A Geometric Framework for Statistical Analysis of Trajectories With Distinct Temporal Spans
ICCV 2017
Sparse Exact PGA on Riemannian Manifolds
ICCV 2017
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning
CVPR 2017
A Nonlinear Regression Technique for Manifold Valued Data With Applications to Medical Image Analysis
CVPR 2016
An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds
CVPR 2016
Recursive Frechet Mean Computation on the Grassmannian and its Applications to Computer Vision
ICCV 2015