Minnen, David

16 publications

ICLR 2024 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, Jose 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

ICML 2024 VideoPoet: A Large Language Model for Zero-Shot Video Generation Dan Kondratyuk, Lijun Yu, Xiuye Gu, Jose 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

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

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

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

ICLR 2019 Integer Networks for Data Compression with Latent-Variable Models Johannes Ballé, Nick Johnston, David Minnen

NeurIPS 2018 Joint Autoregressive and Hierarchical Priors for Learned Image Compression David Minnen, Johannes Ballé, George D Toderici

ICLR 2018 Variational Image Compression with a Scale Hyperprior Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston

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

ICLR 2016 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

ICML 2009 Discovering Options from Example Trajectories Peng Zang, Peng Zhou, David Minnen, Charles Lee Isbell Jr.

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

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

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

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