Marcus A. Brubaker

Fereshteh Forghani

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Bogdan Toader

Roy R. Lederman

CoRR, 2023

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

[BibT_eX]

[DOI]

Igor Gilitschenski

CoRR, 2023

Dual-Camera Joint Deblurring-Denoising.

[BibT_eX]

[DOI]

Shayan Shekarforoush

Amanpreet Walia

Alex Levinshtein

CoRR, 2023

Watch Your Steps: Local Image and Scene Editing by Text Instructions.

[BibT_eX]

[DOI]

Ashkan Mirzaei

Jonathan Kelly

Alex Levinshtein

Igor Gilitschenski

CoRR, 2023

Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models.

[BibT_eX]

[DOI]

Jason J. Yu

Fereshteh Forghani

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Reference-guided Controllable Inpainting of Neural Radiance Fields.

[BibT_eX]

[DOI]

Ashkan Mirzaei

Jonathan Kelly

Alex Levinshtein

Igor Gilitschenski

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

[BibT_eX]

[DOI]

Ashkan Mirzaei

Chandramouli Shama Sastry

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Efficient CDF Approximations for Normalizing Flows.

[BibT_eX]

[DOI]

Andreas M. Lehrmann

Alexander Radovic

Trans. Mach. Learn. Res., 2022

Auto White-Balance Correction for Mixed-Illuminant Scenes.

[BibT_eX]

[DOI]

Mahmoud Afifi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Residual Multiplicative Filter Networks for Multiscale Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Image Representations for Multi-image Fusion and Layer Separation.

[BibT_eX]

[DOI]

Seonghyeon Nam

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata.

[BibT_eX]

[DOI]

Seonghyeon Nam

Abhijith Punnappurath

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Modeling sRGB Camera Noise with Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Normalizing Flows: An Introduction and Review of Current Methods.

[BibT_eX]

[DOI]

Ivan Kobyzev

Simon J. D. Prince

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Zero-shot Learning with Class Description Regularization.

[BibT_eX]

[DOI]

Shayan Kousha

CoRR, 2021

CAMS: Color-Aware Multi-Style Transfer.

[BibT_eX]

[DOI]

CoRR, 2021

Manifold Density Estimation via Generalized Dequantization.

[BibT_eX]

[DOI]

James A. Brofos

Roy R. Lederman

CoRR, 2021

Continuous Latent Process Flows.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms.

[BibT_eX]

[DOI]

Mahmoud Afifi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Variational Hyper RNN for Sequence Modeling.

[BibT_eX]

[DOI]

CoRR, 2020

Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2020

Wavelet Flow: Fast Training of High Resolution Normalizing Flows.

[BibT_eX]

[DOI]

Jason J. Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Tails of Lipschitz Triangular Flows.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Diachronic Embedding for Temporal Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Point Process Flows.

[BibT_eX]

[DOI]

CoRR, 2019

Parity Partition Coding for Sharp Multi-Label Classification.

[BibT_eX]

[DOI]

Christopher G. Blake

Giuseppe Castiglione

Christopher Srinivasa

CoRR, 2019

Normalizing Flows: Introduction and Ideas.

[BibT_eX]

[DOI]

Ivan Kobyzev

Simon Prince

CoRR, 2019

Time2Vec: Learning a Vector Representation of Time.

[BibT_eX]

[DOI]

CoRR, 2019

Tails of Triangular Flows.

[BibT_eX]

[DOI]

CoRR, 2019

Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

On the Effectiveness of Low Frequency Perturbations.

[BibT_eX]

[DOI]

Yash Sharma

Gavin Weiguang Ding

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Noise Flow: Noise Modeling With Conditional Normalizing Flows.

[BibT_eX]

[DOI]

Abdelrahman Abdelhamed

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection.

[BibT_eX]

[DOI]

Abbas Masoumzadeh

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Convolutional Photomosaic Generation via Multi-scale Perceptual Losses.

[BibT_eX]

[DOI]

Matthew Tesfaldet

Nariman Saftarli

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Two-Stream Convolutional Networks for Dynamic Texture Synthesis.

[BibT_eX]

[DOI]

Matthew Tesfaldet

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference on Computer and Robot Vision, 2018

2017

Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy.

[BibT_eX]

[DOI]

Ali Punjani

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Size and Texture-Based Classification of Lung Tumors with 3D CNNs.

[BibT_eX]

[DOI]

Zhihao Luo

Michael Brudno

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Find your way by observing the sun and other semantic cues.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Map-Based Probabilistic Visual Self-Localization.

[BibT_eX]

[DOI]

Andreas Geiger

Raquel Urtasun

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Sequential Inference for Deep Gaussian Process.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Efficient Optimization for Sparse Gaussian Process Regression.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM.

[BibT_eX]

[DOI]

Ali Punjani

CoRR, 2015

The Stan Math Library: Reverse-Mode Automatic Differentiation in C++.

[BibT_eX]

[DOI]

CoRR, 2015

Building proteins in a day: Efficient 3D molecular reconstruction.

[BibT_eX]

[DOI]

Ali Punjani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Bayesian Filtering with Online Gaussian Process Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

2013

Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization.

[BibT_eX]

[DOI]

Andreas Geiger

Raquel Urtasun

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Physical Models of Human Motion for Estimation and Scene Analysis.

[BibT_eX]

[DOI]

PhD thesis, 2012

A Family of MCMC Methods on Implicitly Defined Manifolds.

[BibT_eX]

[DOI]

Mathieu Salzmann

Raquel Urtasun

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2010

Physics-Based Person Tracking Using the Anthropomorphic Walker.

[BibT_eX]

[DOI]

Aaron Hertzmann

Int. J. Comput. Vis., 2010

A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy.

[BibT_eX]

[DOI]

Bioinform., 2010

Video-Based People Tracking.

[BibT_eX]

[DOI]

Leonid Sigal

Proceedings of the Handbook of Ambient Intelligence and Smart Environments, 2010

2009

Estimating contact dynamics.

[BibT_eX]

[DOI]

Leonid Sigal

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

The Kneed Walker for human pose tracking.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Physics-Based Person Tracking Using Simplified Lower-Body Dynamics.

[BibT_eX]

[DOI]