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ORCIDMarcus A. Brubaker
Person information
- affiliation: York University, Department Electrical Engineering & Computer Science, Toronto, ON, Canada
- affiliation (PhD 2011): University of Toronto, Department of Computer Science, ON, Canada
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Books and Theses
- 2012
[b1]Marcus A. Brubaker:
Physical Models of Human Motion for Estimation and Scene Analysis. University of Toronto, Canada, 2012
Journal Articles
- 2022
- [j8]Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic:
Efficient CDF Approximations for Normalizing Flows. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [j7]Ivan Kobyzev
, Simon J. D. Prince, Marcus A. Brubaker:
Normalizing Flows: An Introduction and Review of Current Methods. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3964-3979 (2021) - 2020
- [j6]Saeed Ghorbani, Calden Wloka, Ali Etemad, Marcus A. Brubaker, Nikolaus F. Troje:
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model. Comput. Graph. Forum 39(8): 225-239 (2020) - 2017
- [j5]Ali Punjani, Marcus A. Brubaker, David J. Fleet:
Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 706-718 (2017) - 2016
- [j4]Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun:
Map-Based Probabilistic Visual Self-Localization. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 652-665 (2016) - 2015
- [j3]Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Efficient Optimization for Sparse Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2415-2427 (2015) - 2010
- [j2]Navdeep Jaitly, Marcus A. Brubaker, John L. Rubinstein, Ryan H. Lilien:
A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy. Bioinform. 26(19): 2406-2415 (2010) - [j1]Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Physics-Based Person Tracking Using the Anthropomorphic Walker. Int. J. Comput. Vis. 87(1-2): 140-155 (2010)
Conference and Workshop Papers
- 2023
- [c34]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein:
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CVPR 2023: 20669-20679 - [c33]Jason J. Yu, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker:
Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models. ICCV 2023: 7071-7081 - [c32]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Reference-guided Controllable Inpainting of Neural Radiance Fields. ICCV 2023: 17769-17779 - 2022
- [c31]James A. Brofos, Marylou Gabrié, Marcus A. Brubaker, Roy R. Lederman:
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals. AISTATS 2022: 5949-5986 - [c30]Shayan Kousha, Ali Maleky, Michael S. Brown, Marcus A. Brubaker:
Modeling sRGB Camera Noise with Normalizing Flows. CVPR 2022: 17442-17450 - [c29]Ali Maleky, Shayan Kousha, Michael S. Brown, Marcus A. Brubaker:
Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images. CVPR 2022: 17611-17620 - [c28]Seonghyeon Nam, Abhijith Punnappurath, Marcus A. Brubaker, Michael S. Brown:
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata. CVPR 2022: 17683-17692 - [c27]Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown:
Neural Image Representations for Multi-image Fusion and Layer Separation. ECCV (7) 2022: 216-232 - [c26]Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker:
Residual Multiplicative Filter Networks for Multiscale Reconstruction. NeurIPS 2022 - [c25]Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown:
Auto White-Balance Correction for Mixed-Illuminant Scenes. WACV 2022: 934-943 - 2021
- [c24]Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown:
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms. CVPR 2021: 7941-7950 - [c23]Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Continuous Latent Process Flows. NeurIPS 2021: 5162-5173 - 2020
- [c22]Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart:
Diachronic Embedding for Temporal Knowledge Graph Completion. AAAI 2020: 3988-3995 - [c21]Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus A. Brubaker:
Tails of Lipschitz Triangular Flows. ICML 2020: 4673-4681 - [c20]Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. NeurIPS 2020 - [c19]Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker:
Wavelet Flow: Fast Training of High Resolution Normalizing Flows. NeurIPS 2020 - 2019
- [c18]Abbas Masoumzadeh, Marcus A. Brubaker:
HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection. BMVC 2019: 233 - [c17]Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown:
Noise Flow: Noise Modeling With Conditional Normalizing Flows. ICCV 2019: 3165-3173 - [c16]Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker:
On the Effectiveness of Low Frequency Perturbations. IJCAI 2019: 3389-3396 - [c15]Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling:
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem. UAI 2019: 399-411 - 2018
- [c14]Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet:
Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture. CRV 2018: 158-165 - [c13]Matthew Tesfaldet, Marcus A. Brubaker, Konstantinos G. Derpanis:
Two-Stream Convolutional Networks for Dynamic Texture Synthesis. CVPR 2018: 6703-6712 - [c12]Matthew Tesfaldet, Nariman Saftarli, Marcus A. Brubaker, Konstantinos G. Derpanis:
Convolutional Photomosaic Generation via Multi-scale Perceptual Losses. ECCV Workshops (3) 2018: 75-83 - 2017
- [c11]Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun:
Find your way by observing the sun and other semantic cues. ICRA 2017: 6292-6299 - [c10]Zhihao Luo, Marcus A. Brubaker, Michael Brudno:
Size and Texture-Based Classification of Lung Tumors with 3D CNNs. WACV 2017: 806-814 - 2016
- [c9]Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun:
Sequential Inference for Deep Gaussian Process. AISTATS 2016: 694-703 - 2015
- [c8]Marcus A. Brubaker, Ali Punjani, David J. Fleet:
Building proteins in a day: Efficient 3D molecular reconstruction. CVPR 2015: 3099-3108 - 2014
- [c7]Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun:
Bayesian Filtering with Online Gaussian Process Latent Variable Models. UAI 2014: 849-857 - 2013
- [c6]Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun:
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization. CVPR 2013: 3057-3064 - [c5]Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Efficient Optimization for Sparse Gaussian Process Regression. NIPS 2013: 1097-1105 - 2012
- [c4]Marcus A. Brubaker, Mathieu Salzmann, Raquel Urtasun:
A Family of MCMC Methods on Implicitly Defined Manifolds. AISTATS 2012: 161-172 - 2009
- [c3]Marcus A. Brubaker, Leonid Sigal, David J. Fleet:
Estimating contact dynamics. ICCV 2009: 2389-2396 - 2008
- [c2]Marcus A. Brubaker, David J. Fleet:
The Kneed Walker for human pose tracking. CVPR 2008 - 2007
- [c1]Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Physics-Based Person Tracking Using Simplified Lower-Body Dynamics. CVPR 2007
Parts in Books or Collections
- 2010
- [p1]Marcus A. Brubaker, Leonid Sigal, David J. Fleet:
Video-Based People Tracking. Handbook of Ambient Intelligence and Smart Environments 2010: 57-87
Informal and Other Publications
- 2024
- [i40]Jason J. Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker:
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis. CoRR abs/2402.17986 (2024) - 2023
- [i39]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Reference-guided Controllable Inpainting of Neural Radiance Fields. CoRR abs/2304.09677 (2023) - [i38]Jason J. Yu, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker:
Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models. CoRR abs/2304.10700 (2023) - [i37]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Watch Your Steps: Local Image and Scene Editing by Text Instructions. CoRR abs/2308.08947 (2023) - [i36]Shayan Shekarforoush, Amanpreet Walia, Marcus A. Brubaker, Konstantinos G. Derpanis, Alex Levinshtein:
Dual-Camera Joint Deblurring-Denoising. CoRR abs/2309.08826 (2023) - [i35]Tristan Aumentado-Armstrong, Ashkan Mirzaei, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. CoRR abs/2310.17880 (2023) - [i34]Bogdan Toader, Marcus A. Brubaker, Roy R. Lederman:
Efficient high-resolution refinement in cryo-EM with stochastic gradient descent. CoRR abs/2311.16100 (2023) - 2022
- [i33]Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic:
Efficient CDF Approximations for Normalizing Flows. CoRR abs/2202.11322 (2022) - [i32]Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker:
Residual Multiplicative Filter Networks for Multiscale Reconstruction. CoRR abs/2206.00746 (2022) - [i31]Shayan Kousha, Ali Maleky, Michael S. Brown, Marcus A. Brubaker:
Modeling sRGB Camera Noise with Normalizing Flows. CoRR abs/2206.00812 (2022) - [i30]Ali Maleky, Shayan Kousha, Michael S. Brown, Marcus A. Brubaker:
Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images. CoRR abs/2206.01103 (2022) - [i29]Seonghyeon Nam, Abhijith Punnappurath, Marcus A. Brubaker, Michael S. Brown:
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata. CoRR abs/2206.01813 (2022) - [i28]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein:
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CoRR abs/2211.12254 (2022) - 2021
- [i27]James A. Brofos, Marcus A. Brubaker, Roy R. Lederman:
Manifold Density Estimation via Generalized Dequantization. CoRR abs/2102.07143 (2021) - [i26]Mahmoud Afifi, Abdullah Abuolaim, Mostafa Hussien, Marcus A. Brubaker, Michael S. Brown:
CAMS: Color-Aware Multi-Style Transfer. CoRR abs/2106.13920 (2021) - [i25]Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Continuous Latent Process Flows. CoRR abs/2106.15580 (2021) - [i24]Shayan Kousha, Marcus A. Brubaker:
Zero-shot Learning with Class Description Regularization. CoRR abs/2106.16108 (2021) - [i23]Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown:
Neural Image Representations for Multi-Image Fusion and Layer Separation. CoRR abs/2108.01199 (2021) - [i22]Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown:
Auto White-Balance Correction for Mixed-Illuminant Scenes. CoRR abs/2109.08750 (2021) - 2020
- [i21]Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker:
Variational Hyper RNN for Sequence Modeling. CoRR abs/2002.10501 (2020) - [i20]Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. CoRR abs/2002.10516 (2020) - [i19]Saeed Ghorbani, Calden Wloka, Ali Etemad, Marcus A. Brubaker, Nikolaus F. Troje:
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model. CoRR abs/2010.09950 (2020) - [i18]Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker:
Wavelet Flow: Fast Training of High Resolution Normalizing Flows. CoRR abs/2010.13821 (2020) - [i17]Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown:
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms. CoRR abs/2011.11731 (2020) - 2019
- [i16]Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker:
On the Effectiveness of Low Frequency Perturbations. CoRR abs/1903.00073 (2019) - [i15]Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling:
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem. CoRR abs/1906.07582 (2019) - [i14]Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart:
Diachronic Embedding for Temporal Knowledge Graph Completion. CoRR abs/1907.03143 (2019) - [i13]Priyank Jaini, Ivan Kobyzev, Marcus A. Brubaker, Yaoliang Yu:
Tails of Triangular Flows. CoRR abs/1907.04481 (2019) - [i12]Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus A. Brubaker:
Time2Vec: Learning a Vector Representation of Time. CoRR abs/1907.05321 (2019) - [i11]Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown:
Noise Flow: Noise Modeling with Conditional Normalizing Flows. CoRR abs/1908.08453 (2019) - [i10]Ivan Kobyzev, Simon Prince, Marcus A. Brubaker:
Normalizing Flows: Introduction and Ideas. CoRR abs/1908.09257 (2019) - [i9]Christopher G. Blake, Giuseppe Castiglione, Christopher Srinivasa, Marcus A. Brubaker:
Parity Partition Coding for Sharp Multi-Label Classification. CoRR abs/1908.09651 (2019) - [i8]Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori:
Point Process Flows. CoRR abs/1910.08281 (2019) - 2018
- [i7]Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet:
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture. CoRR abs/1812.01203 (2018) - 2017
- [i6]Matthew Tesfaldet, Marcus A. Brubaker, Konstantinos G. Derpanis:
Two-Stream Convolutional Networks for Dynamic Texture Synthesis. CoRR abs/1706.06982 (2017) - 2016
- [i5]Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun:
Find your Way by Observing the Sun and Other Semantic Cues. CoRR abs/1606.07415 (2016) - 2015
- [i4]Ali Punjani, Marcus A. Brubaker:
Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM. CoRR abs/1501.04656 (2015) - [i3]Marcus A. Brubaker, Ali Punjani, David J. Fleet:
Building Proteins in a Day: Efficient 3D Molecular Reconstruction. CoRR abs/1504.03573 (2015) - [i2]Bob Carpenter, Matthew D. Hoffman, Marcus A. Brubaker, Daniel D. Lee, Peter Li, Michael Betancourt:
The Stan Math Library: Reverse-Mode Automatic Differentiation in C++. CoRR abs/1509.07164 (2015) - 2013
- [i1]Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Efficient Optimization for Sparse Gaussian Process Regression. CoRR abs/1310.6007 (2013)
Coauthor Index
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