David Minnen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
11
Active years
2001–2024
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Finite Scalar Quantization: VQ-VAE Made Simple. | Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen |
| 2024 | ICLR | Language Model Beats Diffusion - Tokenizer is key to visual generation. | Lijun Yu, Jos 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 |
| 2024 | ICML | VideoPoet: A Large Language Model for Zero-Shot Video Generation. | Dan Kondratyuk, Lijun Yu, Xiuye Gu, Jos 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 |
| 2023 | CVPR | Multi-Realism Image Compression with a Conditional Generator. | Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer |
| 2023 | ICIP | Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression. | David Minnen, Nick Johnston |
| 2022 | ECCV | Neural Video Compression Using GANs for Detail Synthesis and Propagation. | Fabian Mentzer, Eirikur Agustsson, Johannes Ball, David Minnen, Nick Johnston, George Toderici |
| 2020 | CVPR | Scale-Space Flow for End-to-End Optimized Video Compression. | Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ball, Sung Jin Hwang, George Toderici |
| 2020 | ICIP | Channel-Wise Autoregressive Entropy Models for Learned Image Compression. | David Minnen, Saurabh Singh |
| 2019 | ICLR | Integer Networks for Data Compression with Latent-Variable Models. | Johannes Ball, Nick Johnston, David Minnen |
| 2018 | CVPR | 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 |
| 2018 | ICIP | Towards A Semantic Perceptual Image Metric. | Troy T. Chinen, Johannes Ball, Chunhui Gu, Sung Jin Hwang, Sergey Ioffe, Nick Johnston, Thomas Leung, David Minnen, Sean M. O'Malley, Charles Rosenberg, George Toderici |
| 2018 | ICIP | Image-Dependent Local Entropy Models for Learned Image Compression. | David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell |
| 2018 | ICLR | Variational image compression with a scale hyperprior. | Johannes Ball, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston |
| 2017 | CVPR | Full Resolution Image Compression with Recurrent Neural Networks. | George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell |
| 2017 | ICIP | 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 |
| 2009 | ICML | Discovering options from example trajectories. | Peng Zang, Peng Zhou, David Minnen, Charles Lee Isbell Jr. |
| 2007 | AAAI | Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning. | David Minnen, Charles Lee Isbell Jr., Irfan A. Essa, Thad Starner |
| 2007 | BSN | Recognizing Soldier Activities in the Field. | David Minnen, Tracy L. Westeyn, Daniel Ashbrook, Peter Presti, Thad Starner |
| 2007 | ICDM | Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery. | David Minnen, Charles L. Isbell Jr., Irfan A. Essa, Thad Starner |
| 2007 | IJCAI | Improving Activity Discovery with Automatic Neighborhood Estimation. | David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr. |
| 2006 | ISWC | Discovering Characteristic Actions from On-Body Sensor Data. | David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr. |
| 2004 | CVPR | Propagation Networks for Recognition of Partially Ordered Sequential Action. | Yifan Shi, Yan Huang, David Minnen, Aaron F. Bobick, Irfan A. Essa |
| 2003 | CVPR | Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition. | David Minnen, Irfan A. Essa, Thad Starner |
| 2001 | ICVS | Integration of Wireless Gesture Tracking, Object Tracking, and 3D Reconstruction in the Perceptive Workbench. | Bastian Leibe, David Minnen, Justin Weeks, Thad Starner |