Physics-Based Person Tracking Using Simplified Lower-Body Dynamics. - Marcus A. Brubaker; David J. Fleet; Aaron Hertzmann (CVPR, 2007)

The Kneed Walker for human pose tracking. - Marcus A. Brubaker; David J. Fleet (CVPR, 2008)

Estimating contact dynamics. - Marcus A. Brubaker; Leonid Sigal; David J. Fleet (ICCV, 2009)

Video-Based People Tracking. - Marcus A. Brubaker; Leonid Sigal; David J. Fleet (Handbook of Ambient Intelligence and Smart Environments, 2010)

A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy. - Navdeep Jaitly; Marcus A. Brubaker; John L. Rubinstein; Ryan H. Lilien (Bioinform., 2010)

Physics-Based Person Tracking Using the Anthropomorphic Walker. - Marcus A. Brubaker; David J. Fleet; Aaron Hertzmann (Int. J. Comput. Vis., 2010)

A Family of MCMC Methods on Implicitly Defined Manifolds. - Marcus A. Brubaker; Mathieu Salzmann; Raquel Urtasun (AISTATS, 2012)

Physical Models of Human Motion for Estimation and Scene Analysis. - Marcus A. Brubaker (2012)

Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization. - Marcus A. Brubaker; Andreas Geiger 001; Raquel Urtasun (CVPR, 2013)

Bayesian Filtering with Online Gaussian Process Latent Variable Models. - Yali Wang; Marcus A. Brubaker; Brahim Chaib-draa; Raquel Urtasun (UAI, 2014)

Building proteins in a day: Efficient 3D molecular reconstruction. - Marcus A. Brubaker; Ali Punjani; David J. Fleet (CVPR, 2015)

The Stan Math Library: Reverse-Mode Automatic Differentiation in C++. - Bob Carpenter; Matthew D. Hoffman; Marcus A. Brubaker; Daniel D. Lee; Peter Li; Michael Betancourt (CoRR, 2015)

Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM. - Ali Punjani; Marcus A. Brubaker (CoRR, 2015)

Efficient Optimization for Sparse Gaussian Process Regression. - Yanshuai Cao; Marcus A. Brubaker; David J. Fleet; Aaron Hertzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Sequential Inference for Deep Gaussian Process. - Yali Wang; Marcus A. Brubaker; Brahim Chaib-draa; Raquel Urtasun (AISTATS, 2016)

Map-Based Probabilistic Visual Self-Localization. - Marcus A. Brubaker; Andreas Geiger 001; Raquel Urtasun (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Find your way by observing the sun and other semantic cues. - Wei-Chiu Ma; Shenlong Wang; Marcus A. Brubaker; Sanja Fidler; Raquel Urtasun (ICRA, 2017)

Size and Texture-Based Classification of Lung Tumors with 3D CNNs. - Zhihao Luo; Marcus A. Brubaker; Michael Brudno (WACV, 2017)

Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy. - Ali Punjani; Marcus A. Brubaker; David J. Fleet (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture. - Micha Livne; Leonid Sigal; Marcus A. Brubaker; David J. Fleet (CRV, 2018)

Two-Stream Convolutional Networks for Dynamic Texture Synthesis. - Matthew Tesfaldet; Marcus A. Brubaker; Konstantinos G. Derpanis (CVPR, 2018)

Convolutional Photomosaic Generation via Multi-scale Perceptual Losses. - Matthew Tesfaldet; Nariman Saftarli; Marcus A. Brubaker; Konstantinos G. Derpanis (ECCV Workshops (3), 2018)

HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection. - Abbas Masoumzadeh; Marcus A. Brubaker (BMVC, 2019)

Noise Flow: Noise Modeling With Conditional Normalizing Flows. - Abdelrahman Abdelhamed; Marcus A. Brubaker; Michael S. Brown (ICCV, 2019)

On the Effectiveness of Low Frequency Perturbations. - Yash Sharma 001; Gavin Weiguang Ding; Marcus A. Brubaker (IJCAI, 2019)

Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem. - Karen Ullrich; Rianne van den Berg; Marcus A. Brubaker; David J. Fleet; Max Welling (UAI, 2019)

Tails of Triangular Flows. - Priyank Jaini; Ivan Kobyzev; Marcus A. Brubaker; Yaoliang Yu (CoRR, 2019)

Time2Vec: Learning a Vector Representation of Time. - Seyed Mehran Kazemi; Rishab Goel; Sepehr Eghbali; Janahan Ramanan; Jaspreet Sahota; Sanjay Thakur; Stella Wu; Cathal Smyth; Pascal Poupart; Marcus A. Brubaker (CoRR, 2019)

Normalizing Flows: Introduction and Ideas. - Ivan Kobyzev; Simon Prince; Marcus A. Brubaker (CoRR, 2019)

Parity Partition Coding for Sharp Multi-Label Classification. - Christopher G. Blake; Giuseppe Castiglione; Christopher Srinivasa; Marcus A. Brubaker (CoRR, 2019)

Point Process Flows. - Nazanin Mehrasa; Ruizhi Deng; Mohamed Osama Ahmed; Bo Chang 002; Jiawei He 001; Thibaut Durand; Marcus A. Brubaker; Greg Mori (CoRR, 2019)

Diachronic Embedding for Temporal Knowledge Graph Completion. - Rishab Goel; Seyed Mehran Kazemi; Marcus A. Brubaker; Pascal Poupart (AAAI, 2020)

Tails of Lipschitz Triangular Flows. - Priyank Jaini; Ivan Kobyzev; Yaoliang Yu; Marcus A. Brubaker (ICML, 2020)

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. - Ruizhi Deng; Bo Chang 002; Marcus A. Brubaker; Greg Mori; Andreas M. Lehrmann (NeurIPS, 2020)

Wavelet Flow: Fast Training of High Resolution Normalizing Flows. - Jason J. Yu; Konstantinos G. Derpanis; Marcus A. Brubaker (NeurIPS, 2020)

Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model. - Saeed Ghorbani; Calden Wloka; Ali Etemad; Marcus A. Brubaker; Nikolaus F. Troje (Comput. Graph. Forum, 2020)

Variational Hyper RNN for Sequence Modeling. - Ruizhi Deng; Yanshuai Cao; Bo Chang 002; Leonid Sigal; Greg Mori; Marcus A. Brubaker (CoRR, 2020)

HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms. - Mahmoud Afifi; Marcus A. Brubaker; Michael S. Brown (CVPR, 2021)

Continuous Latent Process Flows. - Ruizhi Deng; Marcus A. Brubaker; Greg Mori; Andreas M. Lehrmann (NeurIPS, 2021)

Manifold Density Estimation via Generalized Dequantization. - James A. Brofos; Marcus A. Brubaker; Roy R. Lederman (CoRR, 2021)

CAMS: Color-Aware Multi-Style Transfer. - Mahmoud Afifi; Abdullah Abuolaim; Mostafa Hussien; Marcus A. Brubaker; Michael S. Brown (CoRR, 2021)

Zero-shot Learning with Class Description Regularization. - Shayan Kousha; Marcus A. Brubaker (CoRR, 2021)

Normalizing Flows: An Introduction and Review of Current Methods. - Ivan Kobyzev; Simon J. D. Prince; Marcus A. Brubaker (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals. - James A. Brofos; Marylou Gabrié; Marcus A. Brubaker; Roy R. Lederman (AISTATS, 2022)

Modeling sRGB Camera Noise with Normalizing Flows. - Shayan Kousha; Ali Maleky; Michael S. Brown; Marcus A. Brubaker (CVPR, 2022)

Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images. - Ali Maleky; Shayan Kousha; Michael S. Brown; Marcus A. Brubaker (CVPR, 2022)

Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata. - Seonghyeon Nam; Abhijith Punnappurath; Marcus A. Brubaker; Michael S. Brown (CVPR, 2022)

Neural Image Representations for Multi-image Fusion and Layer Separation. - Seonghyeon Nam; Marcus A. Brubaker; Michael S. Brown (ECCV (7), 2022)

Residual Multiplicative Filter Networks for Multiscale Reconstruction. - Shayan Shekarforoush; David B. Lindell; David J. Fleet; Marcus A. Brubaker (NeurIPS, 2022)

Auto White-Balance Correction for Mixed-Illuminant Scenes. - Mahmoud Afifi; Marcus A. Brubaker; Michael S. Brown (WACV, 2022)

Efficient CDF Approximations for Normalizing Flows. - Chandramouli Shama Sastry; Andreas M. Lehrmann; Marcus A. Brubaker; Alexander Radovic (Trans. Mach. Learn. Res., 2022)

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. - Ashkan Mirzaei; Tristan Aumentado-Armstrong; Konstantinos G. Derpanis; Jonathan Kelly; Marcus A. Brubaker; Igor Gilitschenski; Alex Levinshtein (CVPR, 2023)

Reference-guided Controllable Inpainting of Neural Radiance Fields. - Ashkan Mirzaei; Tristan Aumentado-Armstrong; Marcus A. Brubaker; Jonathan Kelly; Alex Levinshtein; Konstantinos G. Derpanis; Igor Gilitschenski (ICCV, 2023)

Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models. - Jason J. Yu; Fereshteh Forghani; Konstantinos G. Derpanis; Marcus A. Brubaker (ICCV, 2023)

Dual-Camera Joint Deblurring-Denoising. - Shayan Shekarforoush; Amanpreet Walia; Marcus A. Brubaker; Konstantinos G. Derpanis; Alex Levinshtein (CoRR, 2023)

Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. - Tristan Aumentado-Armstrong; Ashkan Mirzaei; Marcus A. Brubaker; Jonathan Kelly; Alex Levinshtein; Konstantinos G. Derpanis; Igor Gilitschenski (CoRR, 2023)

Efficient high-resolution refinement in cryo-EM with stochastic gradient descent. - Bogdan Toader; Marcus A. Brubaker; Roy R. Lederman (CoRR, 2023)

Watch Your Steps: Local Image and Scene Editing by Text Instructions. - Ashkan Mirzaei; Tristan Aumentado-Armstrong; Marcus A. Brubaker; Jonathan Kelly; Alex Levinshtein; Konstantinos G. Derpanis; Igor Gilitschenski (ECCV (38), 2024)

Non-parametric Sensor Noise Modeling and Synthesis. - Ali Mosleh; Luxi Zhao 002; Atin Singh; Jaeduk Han; Abhijith Punnappurath; Marcus A. Brubaker; Jihwan Choe; Michael S. Brown (ECCV (24), 2024)

PolyOculus: Simultaneous Multi-view Image-Based Novel View Synthesis. - Jason J. Yu; Tristan Aumentado-Armstrong; Fereshteh Forghani; Konstantinos G. Derpanis; Marcus A. Brubaker (ECCV (63), 2024)

CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. - Shayan Shekarforoush; David B. Lindell; Marcus A. Brubaker; David J. Fleet (NeurIPS, 2024)

Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. - Shayan Shekarforoush; David B. Lindell; Marcus A. Brubaker; David J. Fleet (CoRR, 2024)

RoMo: Robust Motion Segmentation Improves Structure from Motion. - Lily Goli; Sara Sabour; Mark J. Matthews; Marcus A. Brubaker; Dmitry Lagun; Alec Jacobson; David J. Fleet; Saurabh Saxena; Andrea Tagliasacchi (CoRR, 2024)

Efficient Neural Network Encoding for 3D Color Lookup Tables. - Vahid Zehtab; David B. Lindell; Marcus A. Brubaker; Michael S. Brown (AAAI, 2025)

Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control. - Amin Fadaeinejad; Abdallah Dib; Luiz Gustavo Hafemann; Emeline Got; Trevor Anderson; Amaury Depierre; Nikolaus F. Troje; Marcus A. Brubaker; Marc-André Carbonneau (CVPR Workshops, 2025)

Amortized In-Context Bayesian Posterior Estimation. - Sarthak Mittal; Niels Bracher; Guillaume Lajoie; Priyank Jaini; Marcus A. Brubaker (CoRR, 2025)

Geometry-Aware Diffusion Models for Multiview Scene Inpainting. - Ahmad Salimi; Tristan Aumentado-Armstrong; Marcus A. Brubaker; Konstantinos G. Derpanis (CoRR, 2025)

Learn Your Scales: Towards Scale-Consistent Generative Novel View Synthesis. - Fereshteh Forghani; Jason J. Yu; Tristan Aumentado-Armstrong; Konstantinos G. Derpanis; Marcus A. Brubaker (CoRR, 2025)

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery. - Shayan Shekarforoush; David B. Lindell; Marcus A. Brubaker; David J. Fleet (CoRR, 2025)