David Minnen

Nick Johnston

Proceedings of the IEEE International Conference on Image Processing, 2023

Multi-Realism Image Compression with a Conditional Generator.

[BibT_eX]

[DOI]

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

2022

VCT: A Video Compression Transformer.

[BibT_eX]

[DOI]

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

Neural Video Compression Using GANs for Detail Synthesis and Propagation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Nonlinear Transform Coding.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2021

Towards Generative Video Compression.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Channel-Wise Autoregressive Entropy Models for Learned Image Compression.

[BibT_eX]

[DOI]

Saurabh Singh

Proceedings of the IEEE International Conference on Image Processing, 2020

Scale-Space Flow for End-to-End Optimized Video Compression.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Integer Networks for Data Compression with Latent-Variable Models.

[BibT_eX]

[DOI]

Johannes Ballé

Nick Johnston

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Joint Autoregressive and Hierarchical Priors for Learned Image Compression.

[BibT_eX]

[DOI]

Johannes Ballé

George Toderici

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Variational image compression with a scale hyperprior.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Image-Dependent Local Entropy Models for Learned Image Compression.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Towards A Semantic Perceptual Image Metric.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks.

[BibT_eX]

[DOI]

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

2017

Target-Quality Image Compression with Recurrent, Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Spatially adaptive image compression using a tiled deep network.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Full Resolution Image Compression with Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Variable Rate Image Compression with Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

2011

Towards robust cross-user hand tracking and shape recognition.

[BibT_eX]

[DOI]

Zahoor Zafrulla

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2009

Discovering options from example trajectories.

[BibT_eX]

[DOI]

Peng Zang

Peng Zhou

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Unsupervised discovery of activity primitives from multivariate sensor data.

[BibT_eX]

[DOI]

PhD thesis, 2008

Dimensionality Reduction for Improved Source Separation in FMRI Data.

[BibT_eX]

Rudolph L. Mappus IV

Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007

Improving Activity Discovery with Automatic Neighborhood Estimation.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery.

[BibT_eX]

[DOI]

Charles L. Isbell Jr.

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Recognizing Soldier Activities in the Field.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop on Wearable and Implantable Body Sensor Networks, 2007

Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Similarity-based analysis for large networks of ultra-low resolution sensors.

[BibT_eX]

[DOI]

Christopher Richard Wren

David C. Minnen

Srinivasa G. Rao

Pattern Recognit., 2006

Discovering Characteristic Actions from On-Body Sensor Data.

[BibT_eX]

[DOI]

Proceedings of the Tenth IEEE International Symposium on Wearable Computers (ISWC 2006), 2006

2005

Recognizing and Discovering Human Actions from On-Body Sensor Data.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

2004

Finding Temporal Patterns by Data Decomposition.

[BibT_eX]

[DOI]

David C. Minnen

Christopher Richard Wren

Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

Propagation Networks for Recognition of Partially Ordered Sequential Action.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

The perceptive workbench: Computer-vision-based gesture tracking, object tracking, and 3D reconstruction for augmented desks.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2003

Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition.

[BibT_eX]

[DOI]