Marcus A Brubaker

Marcus A Brubaker

York University

H-index: 30

North America-Canada

About Marcus A Brubaker

Marcus A Brubaker, With an exceptional h-index of 30 and a recent h-index of 23 (since 2020), a distinguished researcher at York University, specializes in the field of Computer Vision, Machine Learning, Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis

Exploring Exchangeable Dataset Amortization for Bayesian Posterior Inference

Reference-guided Controllable Inpainting of Neural Radiance Fields

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields

Dual-Camera Joint Deblurring-Denoising

Efficient high-resolution refinement in cryo-EM with stochastic gradient descent

System and method for training of noise model using noisy signal pairs

Watch your steps: Local image and scene editing by text instructions

Marcus A Brubaker Information

University

Position

Assistant Professor ; Faculty Affiliate Vector Institute

Citations(all)

16225

Citations(since 2020)

13859

Cited By

6967

hIndex(all)

30

hIndex(since 2020)

23

i10Index(all)

47

i10Index(since 2020)

38

Email

University Profile Page

York University

Google Scholar

View Google Scholar Profile

Marcus A Brubaker Skills & Research Interests

Computer Vision

Machine Learning

Statistics

Top articles of Marcus A Brubaker

Title

Journal

Author(s)

Publication Date

PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis

arXiv preprint arXiv:2402.17986

Jason J Yu

Tristan Aumentado-Armstrong

Fereshteh Forghani

Konstantinos G Derpanis

Marcus A Brubaker

2024/2/28

Exploring Exchangeable Dataset Amortization for Bayesian Posterior Inference

Sarthak Mittal

Niels Leif Bracher

Guillaume Lajoie

Priyank Jaini

Marcus A Brubaker

2023/7/28

Reference-guided Controllable Inpainting of Neural Radiance Fields

Ashkan Mirzaei

Tristan Aumentado-Armstrong

Marcus A Brubaker

Jonathan Kelly

Alex Levinshtein

...

2023

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields

Ashkan Mirzaei

Tristan Aumentado-Armstrong

Konstantinos G Derpanis

Jonathan Kelly

Marcus A Brubaker

...

2023

Dual-Camera Joint Deblurring-Denoising

arXiv preprint arXiv:2309.08826

Shayan Shekarforoush

Amanpreet Walia

Marcus A Brubaker

Konstantinos G Derpanis

Alex Levinshtein

2023/9/16

Efficient high-resolution refinement in cryo-EM with stochastic gradient descent

arXiv preprint arXiv:2311.16100

Bogdan Toader

Marcus A Brubaker

Roy R Lederman

2023/11/27

System and method for training of noise model using noisy signal pairs

2023/5/18

Watch your steps: Local image and scene editing by text instructions

arXiv preprint arXiv:2308.08947

Ashkan Mirzaei

Tristan Aumentado-Armstrong

Marcus A Brubaker

Jonathan Kelly

Alex Levinshtein

...

2023/8/17

Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations

arXiv preprint arXiv:2310.17880

Tristan Aumentado-Armstrong

Ashkan Mirzaei

Marcus A Brubaker

Jonathan Kelly

Alex Levinshtein

...

2023/10/27

System and method of white balancing a digital image with multiple light sources

2023/3/30

A deep convolutional neural network trained to infer surface reflectance is deceived by mid-level lightness illusions

Journal of Vision

Jaykishan Patel

Alban Flachot

Javier Vazquez-Corral

David H Brainard

Thomas SA Wallis

...

2023/8/1

Exchangeable Dataset Amortization for Bayesian Posterior Inference

Sarthak Mittal

Niels Leif Bracher

Guillaume Lajoie

Priyank Jaini

Marcus A Brubaker

2023/10/13

System and method for efficient estimation of cumulative distribution function

2023/3/30

Can deep neural networks for intrinsic image decomposition model human lightness constancy?

Journal of Vision

Alban Flachot

Jaykishan Patel

Khushbu Patel

Tom SA Wallis

Marcus Brubaker

...

2023/8/1

Long-term photometric consistent novel view synthesis with diffusion models

J Yu Jason

Fereshteh Forghani

Konstantinos G Derpanis

Marcus A Brubaker

2023/10/1

System and method for conditional marginal distributions at flexible evaluation horizons

2022/12/1

Auto White-Balance Correction for Mixed-Illuminant Scenes

Mahmoud Afifi

Marcus A Brubaker

Michael S Brown

2022/1/5

Modeling sRGB Camera Noise with Normalizing Flows

Shayan Kousha

Ali Maleky

Michael S Brown

Marcus A Brubaker

2022/6/2

System and method for continuous dynamics model from irregular time-series data

2022/12/1

Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images

Ali Maleky

Shayan Kousha

Michael S Brown

Marcus A Brubaker

2022/6/2

See List of Professors in Marcus A Brubaker University(York University)

Co-Authors

H-index: 129
Andrew Gelman

Andrew Gelman

Columbia University in the City of New York

H-index: 117
Raquel Urtasun

Raquel Urtasun

University of Toronto

H-index: 82
David J Fleet

David J Fleet

University of Toronto

H-index: 62
Michael S. Brown

Michael S. Brown

York University

H-index: 53
John L. Rubinstein

John L. Rubinstein

University of Toronto

H-index: 51
Pascal Poupart

Pascal Poupart

University of Waterloo

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