David Minnen

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 35

Top Venues

CoRR

ICIP

CVPR

ICLR (Poster)

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
Finite Scalar Quantization: VQ-VAE Made Simple. ICLR (2024)
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, Irfan Essa, David A. Ross, Lu Jiang
Language Model Beats Diffusion - Tokenizer is key to visual generation. ICLR (2024)
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, Irfan Essa, David A. Ross, Lu Jiang
Language Model Beats Diffusion - Tokenizer is Key to Visual Generation. CoRR (2023)
Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Josh Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR (2023)
Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
Finite Scalar Quantization: VQ-VAE Made Simple. CoRR (2023)
David Minnen, Nick Johnston
Advancing The Rate-Distortion-Computation Frontier For Neural Image Compression. CoRR (2023)
Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
Multi-Realism Image Compression with a Conditional Generator. CVPR (2023)
David Minnen, Nick Johnston
Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression. ICIP (2023)
Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson
VCT: A Video Compression Transformer. NeurIPS (2022)
Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson
VCT: A Video Compression Transformer. CoRR (2022)
Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
Multi-Realism Image Compression with a Conditional Generator. CoRR (2022)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
Neural Video Compression Using GANs for Detail Synthesis and Propagation. ECCV (26) (2022)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
Towards Generative Video Compression. CoRR (2021)
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
Nonlinear Transform Coding. IEEE J. Sel. Top. Signal Process. 15 (2) (2021)
Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ballé, Sung Jin Hwang, George Toderici
Scale-Space Flow for End-to-End Optimized Video Compression. CVPR (2020)
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
Nonlinear Transform Coding. CoRR (2020)
David Minnen, Saurabh Singh
Channel-Wise Autoregressive Entropy Models for Learned Image Compression. ICIP (2020)
David Minnen, Saurabh Singh
Channel-wise Autoregressive Entropy Models for Learned Image Compression. CoRR (2020)
Johannes Ballé, Nick Johnston, David Minnen
Integer Networks for Data Compression with Latent-Variable Models. ICLR (Poster) (2019)
Troy T. Chinen, Johannes Ballé, Chunhui Gu, Sung Jin Hwang, Sergey Ioffe, Nick Johnston, Thomas Leung, David Minnen, Sean M. O'Malley, Charles Rosenberg, George Toderici
Towards A Semantic Perceptual Image Metric. ICIP (2018)
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CVPR (2018)
David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
Spatially adaptive image compression using a tiled deep network. CoRR (2018)
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
Variational image compression with a scale hyperprior. CoRR (2018)
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell
Image-Dependent Local Entropy Models for Learned Image Compression. CoRR (2018)
David Minnen, Johannes Ballé, George Toderici
Joint Autoregressive and Hierarchical Priors for Learned Image Compression. CoRR (2018)
Troy T. Chinen, Johannes Ballé, Chunhui Gu, Sung Jin Hwang, Sergey Ioffe, Nick Johnston, Thomas Leung, David Minnen, Sean M. O'Malley, Charles Rosenberg, George Toderici
Towards a Semantic Perceptual Image Metric. CoRR (2018)
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell
Image-Dependent Local Entropy Models for Learned Image Compression. ICIP (2018)
David Minnen, Johannes Ballé, George Toderici
Joint Autoregressive and Hierarchical Priors for Learned Image Compression. NeurIPS (2018)
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
Variational image compression with a scale hyperprior. ICLR (Poster) (2018)
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CoRR (2017)
Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks. CoRR (2017)
David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
Spatially adaptive image compression using a tiled deep network. ICIP (2017)
George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell
Full Resolution Image Compression with Recurrent Neural Networks. CVPR (2017)
George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell
Full Resolution Image Compression with Recurrent Neural Networks. CoRR (2016)
George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar
Variable Rate Image Compression with Recurrent Neural Networks. ICLR (Poster) (2016)
David Minnen, Zahoor Zafrulla
Towards robust cross-user hand tracking and shape recognition. ICCV Workshops (2011)
Peng Zang, Peng Zhou, David Minnen, Charles Lee Isbell Jr.
Discovering options from example trajectories. ICML (2009)
Rudolph L. Mappus IV, David Minnen, Charles Lee Isbell Jr.
Dimensionality Reduction for Improved Source Separation in FMRI Data. BIOSIGNALS (2) (2008)
David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr.
Improving Activity Discovery with Automatic Neighborhood Estimation. IJCAI (2007)
David Minnen, Charles Lee Isbell Jr., Irfan A. Essa, Thad Starner
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning. AAAI (2007)
David Minnen, Tracy L. Westeyn, Daniel Ashbrook, Peter Presti, Thad Starner
Recognizing Soldier Activities in the Field. BSN (2007)
David Minnen, Charles L. Isbell Jr., Irfan A. Essa, Thad Starner
Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery. ICDM (2007)
David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr.
Discovering Characteristic Actions from On-Body Sensor Data. ISWC (2006)
David Minnen, Thad Starner, Jamie A. Ward, Paul Lukowicz, Gerhard Tröster
Recognizing and Discovering Human Actions from On-Body Sensor Data. ICME (2005)
Yifan Shi, Yan Huang, David Minnen, Aaron F. Bobick, Irfan A. Essa
Propagation Networks for Recognition of Partially Ordered Sequential Action. CVPR (2) (2004)
David Minnen, Irfan A. Essa, Thad Starner
Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition. CVPR (2) (2003)
Thad Starner, Bastian Leibe, David Minnen, Tracy L. Westeyn, Amy Hurst, Justin Weeks
The perceptive workbench: Computer-vision-based gesture tracking, object tracking, and 3D reconstruction for augmented desks. Mach. Vis. Appl. 14 (1) (2003)
Bastian Leibe, David Minnen, Justin Weeks, Thad Starner
Integration of Wireless Gesture Tracking, Object Tracking, and 3D Reconstruction in the Perceptive Workbench. ICVS (2001)

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Publication Activity (10 Years)

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David Minnen