Brubaker, Marcus A.

38 publications

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

CVPRW 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

NeurIPS 2025 Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Shayan Shekarforoush, David B. Lindell, Marcus A Brubaker, David J. Fleet

ICCV 2025 RoMo: Robust Motion Segmentation Improves Structure from Motion Lily Goli, Sara Sabour, Mark Matthews, Marcus A. Brubaker, Dmitry Lagun, Alec Jacobson, David J. Fleet, Saurabh Saxena, Andrea Tagliasacchi

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

ECCV 2024 Non-Parametric Sensor Noise Modeling and Synthesis Ali Mosleh, Luxi Zhao, Atin Vikram Singh, Jaeduk Han, Abhijith Punnappurath, Marcus A Brubaker, Jihwan Choe, Michael S Brown

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

ICMLW 2023 Exploring Exchangeable Dataset Amortization for Bayesian Posterior Inference Sarthak Mittal, Niels Leif Bracher, Guillaume Lajoie, Priyank Jaini, Marcus A Brubaker

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 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

CVPR 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, Igor Gilitschenski, Alex Levinshtein

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

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

TMLR 2022 Efficient CDF Approximations for Normalizing Flows Chandramouli Shama Sastry, Andreas Lehrmann, Marcus A Brubaker, Alexander Radovic

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 Modeling sRGB Camera Noise with Normalizing Flows Shayan Kousha, Ali Maleky, Michael S. Brown, Marcus A. Brubaker

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

CVPR 2022 Noise2NoiseFlow: Realistic Camera Noise Modeling Without Clean Images Ali Maleky, Shayan Kousha, Michael S. Brown, Marcus A. Brubaker

NeurIPS 2022 Residual Multiplicative Filter Networks for Multiscale Reconstruction Shayan Shekarforoush, David Lindell, David J Fleet, Marcus A Brubaker

ICMLW 2021 Agent Forecasting at Flexible Horizons Using ODE Flows Alexander Radovic, Jiawei He, Janahan Ramanan, Marcus A Brubaker, Andreas Lehrmann

NeurIPS 2021 Continuous Latent Process Flows Ruizhi Deng, Marcus A Brubaker, Greg Mori, Andreas Lehrmann

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

ICMLW 2021 Manifold Density Estimation via Generalized Dequantization James Brofos, Marcus A Brubaker, Roy R Lederman

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

NeurIPS 2020 Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows Ruizhi Deng, Bo Chang, Marcus A Brubaker, Greg Mori, Andreas Lehrmann

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

IJCAI 2019 On the Effectiveness of Low Frequency Perturbations Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker

ECCVW 2018 Convolutional Photomosaic Generation via Multi-Scale Perceptual Losses Matthew Tesfaldet, Nariman Saftarli, Marcus A. Brubaker, Konstantinos G. Derpanis

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

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

CVPR 2015 Building Proteins in a Day: Efficient 3D Molecular Reconstruction Marcus A. Brubaker, Ali Punjani, David J. Fleet

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

NeurIPS 2013 Efficient Optimization for Sparse Gaussian Process Regression Yanshuai Cao, Marcus A Brubaker, David J Fleet, Aaron Hertzmann

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

ICCV 2009 Estimating Contact Dynamics Marcus A. Brubaker, Leonid Sigal, David J. Fleet

CVPR 2008 The Kneed Walker for Human Pose Tracking Marcus A. Brubaker, David J. Fleet

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