Integration of Wireless Gesture Tracking, Object Tracking, and 3D Reconstruction in the Perceptive Workbench. - Bastian Leibe; David Minnen; Justin Weeks; Thad Starner (ICVS, 2001)

Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition. - David Minnen; Irfan A. Essa; Thad Starner (CVPR (2), 2003)

The perceptive workbench: Computer-vision-based gesture tracking, object tracking, and 3D reconstruction for augmented desks. - Thad Starner; Bastian Leibe; David Minnen; Tracy L. Westeyn; Amy Hurst; Justin Weeks (Mach. Vis. Appl., 2003)

Propagation Networks for Recognition of Partially Ordered Sequential Action. - Yifan Shi; Yan Huang 017; David Minnen; Aaron F. Bobick; Irfan A. Essa (CVPR (2), 2004)

Finding Temporal Patterns by Data Decomposition. - David C. Minnen; Christopher Richard Wren (FGR, 2004)

Recognizing and Discovering Human Actions from On-Body Sensor Data. - David Minnen; Thad Starner; Jamie A. Ward; Paul Lukowicz; Gerhard Tröster (ICME, 2005)

Discovering Characteristic Actions from On-Body Sensor Data. - David Minnen; Thad Starner; Irfan A. Essa; Charles Lee Isbell Jr. (ISWC, 2006)

Similarity-based analysis for large networks of ultra-low resolution sensors. - Christopher Richard Wren; David C. Minnen; Srinivasa G. Rao (Pattern Recognit., 2006)

Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning. - David Minnen; Charles Lee Isbell Jr.; Irfan A. Essa; Thad Starner (AAAI, 2007)

Recognizing Soldier Activities in the Field. - David Minnen; Tracy L. Westeyn; Daniel Ashbrook; Peter Presti; Thad Starner (BSN, 2007)

Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery. - David Minnen; Charles L. Isbell Jr.; Irfan A. Essa; Thad Starner (ICDM, 2007)

Improving Activity Discovery with Automatic Neighborhood Estimation. - David Minnen; Thad Starner; Irfan A. Essa; Charles Lee Isbell Jr. (IJCAI, 2007)

Dimensionality Reduction for Improved Source Separation in FMRI Data. - Rudolph L. Mappus IV; David Minnen; Charles Lee Isbell Jr. (BIOSIGNALS (2), 2008)

Unsupervised discovery of activity primitives from multivariate sensor data. - David Minnen (2008)

Discovering options from example trajectories. - Peng Zang; Peng Zhou; David Minnen; Charles Lee Isbell Jr. (ICML, 2009)

Towards robust cross-user hand tracking and shape recognition. - David Minnen; Zahoor Zafrulla (ICCV Workshops, 2011)

Variable Rate Image Compression with Recurrent Neural Networks. - George Toderici; Sean M. O'Malley; Sung Jin Hwang; Damien Vincent; David Minnen; Shumeet Baluja; Michele Covell; Rahul Sukthankar (ICLR (Poster), 2016)

Full Resolution Image Compression with Recurrent Neural Networks. - George Toderici; Damien Vincent; Nick Johnston; Sung Jin Hwang; David Minnen; Joel Shor; Michele Covell (CVPR, 2017)

Spatially adaptive image compression using a tiled deep network. - David Minnen; George Toderici; Michele Covell; Troy T. Chinen; Nick Johnston; Joel Shor; Sung Jin Hwang; Damien Vincent; Saurabh Singh (ICIP, 2017)

Target-Quality Image Compression with Recurrent, Convolutional Neural Networks. - Michele Covell; Nick Johnston; David Minnen; Sung Jin Hwang; Joel Shor; Saurabh Singh; Damien Vincent; George Toderici (CoRR, 2017)

Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. - Nick Johnston; Damien Vincent; David Minnen; Michele Covell; Saurabh Singh; Troy T. Chinen; Sung Jin Hwang; Joel Shor; George Toderici (CVPR, 2018)

Towards A Semantic Perceptual Image Metric. - Troy T. Chinen; Johannes Ballé; Chunhui Gu; Sung Jin Hwang; Sergey Ioffe; Nick Johnston; Thomas Leung; David Minnen; Sean M. O'Malley; Charles Rosenberg 001; George Toderici (ICIP, 2018)

Image-Dependent Local Entropy Models for Learned Image Compression. - David Minnen; George Toderici; Saurabh Singh; Sung Jin Hwang; Michele Covell (ICIP, 2018)

Variational image compression with a scale hyperprior. - Johannes Ballé; David Minnen; Saurabh Singh; Sung Jin Hwang; Nick Johnston (ICLR (Poster), 2018)

Joint Autoregressive and Hierarchical Priors for Learned Image Compression. - David Minnen; Johannes Ballé; George Toderici (NeurIPS, 2018)

Integer Networks for Data Compression with Latent-Variable Models. - Johannes Ballé; Nick Johnston; David Minnen (ICLR (Poster), 2019)

Scale-Space Flow for End-to-End Optimized Video Compression. - Eirikur Agustsson; David Minnen; Nick Johnston; Johannes Ballé; Sung Jin Hwang; George Toderici (CVPR, 2020)

Channel-Wise Autoregressive Entropy Models for Learned Image Compression. - David Minnen; Saurabh Singh (ICIP, 2020)

Towards Generative Video Compression. - Fabian Mentzer; Eirikur Agustsson; Johannes Ballé; David Minnen; Nick Johnston; George Toderici (CoRR, 2021)

Nonlinear Transform Coding. - Johannes Ballé; Philip A. Chou; David Minnen; Saurabh Singh; Nick Johnston; Eirikur Agustsson; Sung Jin Hwang; George Toderici (IEEE J. Sel. Top. Signal Process., 2021)

Neural Video Compression Using GANs for Detail Synthesis and Propagation. - Fabian Mentzer; Eirikur Agustsson; Johannes Ballé; David Minnen; Nick Johnston; George Toderici (ECCV (26), 2022)

VCT: A Video Compression Transformer. - Fabian Mentzer; George Toderici; David Minnen; Sergi Caelles; Sung Jin Hwang; Mario Lucic; Eirikur Agustsson (NeurIPS, 2022)

Multi-Realism Image Compression with a Conditional Generator. - Eirikur Agustsson; David Minnen; George Toderici; Fabian Mentzer (CVPR, 2023)

Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression. - David Minnen; Nick Johnston (ICIP, 2023)

Finite Scalar Quantization: VQ-VAE Made Simple. - Fabian Mentzer; David Minnen; Eirikur Agustsson; Michael Tschannen (ICLR, 2024)

Language Model Beats Diffusion - Tokenizer is key to visual generation. - Lijun Yu; José Lezama; Nitesh Bharadwaj Gundavarapu; Luca Versari; Kihyuk Sohn; David Minnen; Yong Cheng; Agrim Gupta; Xiuye Gu; Alexander G. Hauptmann; Boqing Gong; Ming-Hsuan Yang 001; et al. (ICLR, 2024)

VideoPoet: A Large Language Model for Zero-Shot Video Generation. - Dan Kondratyuk; Lijun Yu; Xiuye Gu; José Lezama; Jonathan Huang; Grant Schindler; Rachel Hornung; Vighnesh Birodkar; Jimmy Yan; Ming-Chang Chiu; Krishna Somandepalli; Hassan Akbari; et al. (ICML, 2024)

Sample what you cant compress. - Vighnesh Birodkar; Gabriel Barcik; James Lyon; Sergey Ioffe; David Minnen; Joshua V. Dillon (CoRR, 2024)