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2020 – today
- 2024
[c31]Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen:
Finite Scalar Quantization: VQ-VAE Made Simple. ICLR 2024- [c30]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 - [c29]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, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. ICML 2024 - [i18]Vighnesh Birodkar, Gabriel Barcik, James Lyon, Sergey Ioffe, David Minnen, Joshua V. Dillon:
Sample what you cant compress. CoRR abs/2409.02529 (2024) - 2023
- [c28]Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer:
Multi-Realism Image Compression with a Conditional Generator. CVPR 2023: 22324-22333 - [c27]David Minnen, Nick Johnston:
Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression. ICIP 2023: 2940-2944 - [i17]Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen:
Finite Scalar Quantization: VQ-VAE Made Simple. CoRR abs/2309.15505 (2023) - [i16]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 abs/2310.05737 (2023) - [i15]David Minnen, Nick Johnston:
Advancing The Rate-Distortion-Computation Frontier For Neural Image Compression. CoRR abs/2311.12821 (2023) - [i14]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, Joshua V. 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 abs/2312.14125 (2023) - 2022
- [c26]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: 562-578 - [c25]Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson:
VCT: A Video Compression Transformer. NeurIPS 2022 - [i13]Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson:
VCT: A Video Compression Transformer. CoRR abs/2206.07307 (2022) - [i12]Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer:
Multi-Realism Image Compression with a Conditional Generator. CoRR abs/2212.13824 (2022) - 2021
- [j3]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): 339-353 (2021) - [i11]Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici:
Towards Generative Video Compression. CoRR abs/2107.12038 (2021) - 2020
- [c24]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: 8500-8509 - [c23]David Minnen, Saurabh Singh:
Channel-Wise Autoregressive Entropy Models for Learned Image Compression. ICIP 2020: 3339-3343 - [i10]Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici:
Nonlinear Transform Coding. CoRR abs/2007.03034 (2020) - [i9]David Minnen, Saurabh Singh:
Channel-wise Autoregressive Entropy Models for Learned Image Compression. CoRR abs/2007.08739 (2020)
2010 – 2019
- 2019
- [c22]Johannes Ballé, Nick Johnston, David Minnen:
Integer Networks for Data Compression with Latent-Variable Models. ICLR (Poster) 2019 - 2018
- [c21]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: 4385-4393 - [c20]David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell:
Image-Dependent Local Entropy Models for Learned Image Compression. ICIP 2018: 430-434 - [c19]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: 624-628 - [c18]Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston:
Variational image compression with a scale hyperprior. ICLR (Poster) 2018 - [c17]David Minnen, Johannes Ballé, George Toderici:
Joint Autoregressive and Hierarchical Priors for Learned Image Compression. NeurIPS 2018: 10794-10803 - [i8]Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston:
Variational image compression with a scale hyperprior. CoRR abs/1802.01436 (2018) - [i7]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 abs/1802.02629 (2018) - [i6]David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell:
Image-Dependent Local Entropy Models for Learned Image Compression. CoRR abs/1805.12295 (2018) - [i5]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 abs/1808.00447 (2018) - [i4]David Minnen, Johannes Ballé, George Toderici:
Joint Autoregressive and Hierarchical Priors for Learned Image Compression. CoRR abs/1809.02736 (2018) - 2017
- [c16]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: 5435-5443 - [c15]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: 2796-2800 - [i3]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 abs/1703.10114 (2017) - [i2]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 abs/1705.06687 (2017) - 2016
- [c14]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 - [i1]George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell:
Full Resolution Image Compression with Recurrent Neural Networks. CoRR abs/1608.05148 (2016) - 2011
- [c13]David Minnen, Zahoor Zafrulla:
Towards robust cross-user hand tracking and shape recognition. ICCV Workshops 2011: 1235-1241
2000 – 2009
- 2009
- [c12]Peng Zang, Peng Zhou, David Minnen, Charles Lee Isbell Jr.:
Discovering options from example trajectories. ICML 2009: 1217-1224 - 2008
- [b1]David Minnen:
Unsupervised discovery of activity primitives from multivariate sensor data. Georgia Institute of Technology, Atlanta, GA, USA, 2008 - [c11]Rudolph L. Mappus IV, David Minnen, Charles Lee Isbell Jr.:
Dimensionality Reduction for Improved Source Separation in FMRI Data. BIOSIGNALS (2) 2008: 308-313 - 2007
- [c10]David Minnen, Charles Lee Isbell Jr., Irfan A. Essa, Thad Starner:
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning. AAAI 2007: 615-620 - [c9]David Minnen, Tracy L. Westeyn, Daniel Ashbrook, Peter Presti, Thad Starner:
Recognizing Soldier Activities in the Field. BSN 2007: 236-241 - [c8]David Minnen, Charles L. Isbell Jr., Irfan A. Essa, Thad Starner:
Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery. ICDM 2007: 601-606 - [c7]David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr.:
Improving Activity Discovery with Automatic Neighborhood Estimation. IJCAI 2007: 2814-2819 - 2006
- [j2]Christopher Richard Wren, David C. Minnen, Srinivasa G. Rao:
Similarity-based analysis for large networks of ultra-low resolution sensors. Pattern Recognit. 39(10): 1918-1931 (2006) - [c6]David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr.:
Discovering Characteristic Actions from On-Body Sensor Data. ISWC 2006: 11-18 - 2005
- [c5]David Minnen, Thad Starner, Jamie A. Ward, Paul Lukowicz, Gerhard Tröster:
Recognizing and Discovering Human Actions from On-Body Sensor Data. ICME 2005: 1545-1548 - 2004
- [c4]Yifan Shi, Yan Huang, David Minnen, Aaron F. Bobick, Irfan A. Essa:
Propagation Networks for Recognition of Partially Ordered Sequential Action. CVPR (2) 2004: 862-869 - [c3]David C. Minnen, Christopher Richard Wren:
Finding Temporal Patterns by Data Decomposition. FGR 2004: 608-613 - 2003
- [j1]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): 59-71 (2003) - [c2]David Minnen, Irfan A. Essa, Thad Starner:
Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition. CVPR (2) 2003: 626-632 - 2001
- [c1]Bastian Leibe, David Minnen, Justin Weeks, Thad Starner:
Integration of Wireless Gesture Tracking, Object Tracking, and 3D Reconstruction in the Perceptive Workbench. ICVS 2001: 73-92
Coauthor Index
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last updated on 2024-10-07 01:26 CEST by the dblp team
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