Marcus A. Brubaker

99 papers A* 24A 8Journal 57Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
360Anything: Geometry-Free Lifting of Images and Videos to 360°.
CoRR
Ziyi Wu, Daniel Watson, Andrea Tagliasacchi, David J. Fleet, Marcus A. Brubaker, Saurabh Saxena
2025 J jnl
Amortized In-Context Bayesian Posterior Estimation.
CoRR
Sarthak Mittal, Niels Bracher, Guillaume Lajoie, Priyank Jaini, Marcus A. Brubaker
2025 A* conf
Efficient Neural Network Encoding for 3D Color Lookup Tables.
AAAI
Vahid Zehtab, David B. Lindell, Marcus A. Brubaker, Michael S. Brown
2025 J jnl
Geometry-Aware Diffusion Models for Multiview Scene Inpainting.
CoRR
Ahmad Salimi, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Konstantinos G. Derpanis
2025 — conf
Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control.
CVPR Workshops
Amin Fadaeinejad, Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got, Trevor Anderson, Amaury Depierre, Nikolaus F. Troje, Marcus A. Brubaker, Marc-André Carbonneau
2025 J jnl
Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control.
CoRR
Amin Fadaeinejad, Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got, Trevor Anderson, Amaury Depierre, Nikolaus F. Troje, Marcus A. Brubaker, Marc-André Carbonneau
2025 J jnl
Learn Your Scales: Towards Scale-Consistent Generative Novel View Synthesis.
CoRR
Fereshteh Forghani, Jason J. Yu, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Marcus A. Brubaker
2025 J jnl
Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery.
CoRR
Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
2024 A* conf
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference.
NeurIPS
Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
2024 J jnl
Efficient Neural Network Encoding for 3D Color Lookup Tables.
CoRR
Vahid Zehtab, David B. Lindell, Marcus A. Brubaker, Michael S. Brown
2024 J jnl
Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference.
CoRR
Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
2024 — conf
Non-parametric Sensor Noise Modeling and Synthesis.
ECCV (24)
Ali Mosleh, Luxi Zhao, Atin Singh, Jaeduk Han, Abhijith Punnappurath, Marcus A. Brubaker, Jihwan Choe, Michael S. Brown
2024 — conf
PolyOculus: Simultaneous Multi-view Image-Based Novel View Synthesis.
ECCV (63)
Jason J. Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker
2024 J jnl
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis.
CoRR
Jason J. Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker
2024 J jnl
RoMo: Robust Motion Segmentation Improves Structure from Motion.
CoRR
Lily Goli, Sara Sabour, Mark J. Matthews, Marcus A. Brubaker, Dmitry Lagun, Alec Jacobson, David J. Fleet, Saurabh Saxena, Andrea Tagliasacchi
2024 — conf
Watch Your Steps: Local Image and Scene Editing by Text Instructions.
ECCV (38)
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023 J jnl
Dual-Camera Joint Deblurring-Denoising.
CoRR
Shayan Shekarforoush, Amanpreet Walia, Marcus A. Brubaker, Konstantinos G. Derpanis, Alex Levinshtein
2023 J jnl
Efficient high-resolution refinement in cryo-EM with stochastic gradient descent.
CoRR
Bogdan Toader, Marcus A. Brubaker, Roy R. Lederman
2023 A* conf
Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models.
ICCV
Jason J. Yu, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker
2023 J jnl
Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models.
CoRR
Jason J. Yu, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker
2023 J jnl
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations.
CoRR
Tristan Aumentado-Armstrong, Ashkan Mirzaei, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023 A* conf
Reference-guided Controllable Inpainting of Neural Radiance Fields.
ICCV
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023 J jnl
Reference-guided Controllable Inpainting of Neural Radiance Fields.
CoRR
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023 A* conf
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields.
CVPR
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
2023 J jnl
Watch Your Steps: Local Image and Scene Editing by Text Instructions.
CoRR
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2022 A conf
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals.
AISTATS
James A. Brofos, Marylou Gabrié, Marcus A. Brubaker, Roy R. Lederman
2022 A conf
Auto White-Balance Correction for Mixed-Illuminant Scenes.
WACV
Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown
2022 J jnl
Efficient CDF Approximations for Normalizing Flows.
CoRR
Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic
2022 J jnl
Efficient CDF Approximations for Normalizing Flows.
Trans. Mach. Learn. Res.
Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic
2022 A* conf
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata.
CVPR
Seonghyeon Nam, Abhijith Punnappurath, Marcus A. Brubaker, Michael S. Brown
2022 J jnl
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata.
CoRR
Seonghyeon Nam, Abhijith Punnappurath, Marcus A. Brubaker, Michael S. Brown
2022 A* conf
Modeling sRGB Camera Noise with Normalizing Flows.
CVPR
Shayan Kousha, Ali Maleky, Michael S. Brown, Marcus A. Brubaker
2022 J jnl
Modeling sRGB Camera Noise with Normalizing Flows.
CoRR
Shayan Kousha, Ali Maleky, Michael S. Brown, Marcus A. Brubaker
2022 — conf
Neural Image Representations for Multi-image Fusion and Layer Separation.
ECCV (7)
Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown
2022 A* conf
Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images.
CVPR
Ali Maleky, Shayan Kousha, Michael S. Brown, Marcus A. Brubaker
2022 J jnl
Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images.
CoRR
Ali Maleky, Shayan Kousha, Michael S. Brown, Marcus A. Brubaker
2022 A* conf
Residual Multiplicative Filter Networks for Multiscale Reconstruction.
NeurIPS
Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
2022 J jnl
Residual Multiplicative Filter Networks for Multiscale Reconstruction.
CoRR
Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
2022 J jnl
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields.
CoRR
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
2021 J jnl
Auto White-Balance Correction for Mixed-Illuminant Scenes.
CoRR
Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown
2021 J jnl
CAMS: Color-Aware Multi-Style Transfer.
CoRR
Mahmoud Afifi, Abdullah Abuolaim, Mostafa Hussien, Marcus A. Brubaker, Michael S. Brown
2021 A* conf
Continuous Latent Process Flows.
NeurIPS
Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
2021 J jnl
Continuous Latent Process Flows.
CoRR
Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
2021 A* conf
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms.
CVPR
Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown
2021 J jnl
Manifold Density Estimation via Generalized Dequantization.
CoRR
James A. Brofos, Marcus A. Brubaker, Roy R. Lederman
2021 J jnl
Neural Image Representations for Multi-Image Fusion and Layer Separation.
CoRR
Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown
2021 J jnl
Normalizing Flows: An Introduction and Review of Current Methods.
IEEE Trans. Pattern Anal. Mach. Intell.
Ivan Kobyzev, Simon J. D. Prince, Marcus A. Brubaker
2021 J jnl
Zero-shot Learning with Class Description Regularization.
CoRR
Shayan Kousha, Marcus A. Brubaker
2020 A* conf
Diachronic Embedding for Temporal Knowledge Graph Completion.
AAAI
Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart
2020 J jnl
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms.
CoRR
Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown
2020 A* conf
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows.
NeurIPS
Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
2020 J jnl
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows.
CoRR
Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
2020 J jnl
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model.
Comput. Graph. Forum
Saeed Ghorbani, Calden Wloka, Ali Etemad, Marcus A. Brubaker, Nikolaus F. Troje
2020 J jnl
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model.
CoRR
Saeed Ghorbani, Calden Wloka, Ali Etemad, Marcus A. Brubaker, Nikolaus F. Troje
2020 A* conf
Tails of Lipschitz Triangular Flows.
ICML
Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus A. Brubaker
2020 J jnl
Variational Hyper RNN for Sequence Modeling.
CoRR
Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker
2020 A* conf
Wavelet Flow: Fast Training of High Resolution Normalizing Flows.
NeurIPS
Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker
2020 J jnl
Wavelet Flow: Fast Training of High Resolution Normalizing Flows.
CoRR
Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker
2019 J jnl
Diachronic Embedding for Temporal Knowledge Graph Completion.
CoRR
Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart
2019 A conf
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem.
UAI
Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
2019 J jnl
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem.
CoRR
Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
2019 A conf
HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection.
BMVC
Abbas Masoumzadeh, Marcus A. Brubaker
2019 A* conf
Noise Flow: Noise Modeling With Conditional Normalizing Flows.
ICCV
Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown
2019 J jnl
Noise Flow: Noise Modeling with Conditional Normalizing Flows.
CoRR
Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown
2019 J jnl
Normalizing Flows: Introduction and Ideas.
CoRR
Ivan Kobyzev, Simon Prince, Marcus A. Brubaker
2019 A* conf
On the Effectiveness of Low Frequency Perturbations.
IJCAI
Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker
2019 J jnl
On the Effectiveness of Low Frequency Perturbations.
CoRR
Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker
2019 J jnl
Parity Partition Coding for Sharp Multi-Label Classification.
CoRR
Christopher G. Blake, Giuseppe Castiglione, Christopher Srinivasa, Marcus A. Brubaker
2019 J jnl
Point Process Flows.
CoRR
Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori
2019 J jnl
Tails of Triangular Flows.
CoRR
Priyank Jaini, Ivan Kobyzev, Marcus A. Brubaker, Yaoliang Yu
2019 J jnl
Time2Vec: Learning a Vector Representation of Time.
CoRR
Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus A. Brubaker
2018 — conf
Convolutional Photomosaic Generation via Multi-scale Perceptual Losses.
ECCV Workshops (3)
Matthew Tesfaldet, Nariman Saftarli, Marcus A. Brubaker, Konstantinos G. Derpanis
2018 A* conf
Two-Stream Convolutional Networks for Dynamic Texture Synthesis.
CVPR
Matthew Tesfaldet, Marcus A. Brubaker, Konstantinos G. Derpanis
2018 — conf
Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture.
CRV
Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet
2018 J jnl
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture.
CoRR
Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet
2017 J jnl
Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy.
IEEE Trans. Pattern Anal. Mach. Intell.
Ali Punjani, Marcus A. Brubaker, David J. Fleet
2017 A* conf
Find your way by observing the sun and other semantic cues.
ICRA
Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun
2017 A conf
Size and Texture-Based Classification of Lung Tumors with 3D CNNs.
WACV
Zhihao Luo, Marcus A. Brubaker, Michael Brudno
2017 J jnl
Two-Stream Convolutional Networks for Dynamic Texture Synthesis.
CoRR
Matthew Tesfaldet, Marcus A. Brubaker, Konstantinos G. Derpanis
2016 J jnl
Find your Way by Observing the Sun and Other Semantic Cues.
CoRR
Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun
2016 J jnl
Map-Based Probabilistic Visual Self-Localization.
IEEE Trans. Pattern Anal. Mach. Intell.
Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun
2016 A conf
Sequential Inference for Deep Gaussian Process.
AISTATS
Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun
2015 J jnl
Building Proteins in a Day: Efficient 3D Molecular Reconstruction.
CoRR
Marcus A. Brubaker, Ali Punjani, David J. Fleet
2015 A* conf
Building proteins in a day: Efficient 3D molecular reconstruction.
CVPR
Marcus A. Brubaker, Ali Punjani, David J. Fleet
2015 J jnl
Efficient Optimization for Sparse Gaussian Process Regression.
IEEE Trans. Pattern Anal. Mach. Intell.
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2015 J jnl
Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM.
CoRR
Ali Punjani, Marcus A. Brubaker
2015 J jnl
The Stan Math Library: Reverse-Mode Automatic Differentiation in C++.
CoRR
Bob Carpenter, Matthew D. Hoffman, Marcus A. Brubaker, Daniel D. Lee, Peter Li, Michael Betancourt
2014 A conf
Bayesian Filtering with Online Gaussian Process Latent Variable Models.
UAI
Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun
2013 — conf
Efficient Optimization for Sparse Gaussian Process Regression.
NIPS
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2013 J jnl
Efficient Optimization for Sparse Gaussian Process Regression.
CoRR
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2013 A* conf
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization.
CVPR
Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun
2012 A conf
A Family of MCMC Methods on Implicitly Defined Manifolds.
AISTATS
Marcus A. Brubaker, Mathieu Salzmann, Raquel Urtasun
2012 — —
Physical Models of Human Motion for Estimation and Scene Analysis.
Marcus A. Brubaker
2010 J jnl
A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy.
Bioinform.
Navdeep Jaitly, Marcus A. Brubaker, John L. Rubinstein, Ryan H. Lilien
2010 J jnl
Physics-Based Person Tracking Using the Anthropomorphic Walker.
Int. J. Comput. Vis.
Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2010 — ch.
Video-Based People Tracking.
Handbook of Ambient Intelligence and Smart Environments
Marcus A. Brubaker, Leonid Sigal, David J. Fleet
2009 A* conf
Estimating contact dynamics.
ICCV
Marcus A. Brubaker, Leonid Sigal, David J. Fleet
2008 A* conf
The Kneed Walker for human pose tracking.
CVPR
Marcus A. Brubaker, David J. Fleet
2007 A* conf
Physics-Based Person Tracking Using Simplified Lower-Body Dynamics.
CVPR
Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann