David Minnen - RankMe

51 papers A* 14A 1B 5C 2Misc 1Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Finite Scalar Quantization: VQ-VAE Made Simple. ICLR Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
2024	A*	`conf`	Language Model Beats Diffusion - Tokenizer is key to visual generation. ICLR 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
2024	J	`jnl`	Sample what you cant compress. CoRR Vighnesh Birodkar, Gabriel Barcik, James Lyon, Sergey Ioffe, David Minnen, Joshua V. Dillon
2024	A*	`conf`	VideoPoet: A Large Language Model for Zero-Shot Video Generation. ICML 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
2023	J	`jnl`	Advancing The Rate-Distortion-Computation Frontier For Neural Image Compression. CoRR David Minnen, Nick Johnston
2023	B	`conf`	Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression. ICIP David Minnen, Nick Johnston
2023	J	`jnl`	Finite Scalar Quantization: VQ-VAE Made Simple. CoRR Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
2023	J	`jnl`	Language Model Beats Diffusion - Tokenizer is Key to Visual Generation. CoRR 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
2023	A*	`conf`	Multi-Realism Image Compression with a Conditional Generator. CVPR Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
2023	J	`jnl`	VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR 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
2022	J	`jnl`	Multi-Realism Image Compression with a Conditional Generator. CoRR Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
2022	—	`conf`	Neural Video Compression Using GANs for Detail Synthesis and Propagation. ECCV (26) Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
2022	A*	`conf`	VCT: A Video Compression Transformer. NeurIPS Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson
2022	J	`jnl`	VCT: A Video Compression Transformer. CoRR Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson
2021	J	`jnl`	Nonlinear Transform Coding. IEEE J. Sel. Top. Signal Process. Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
2021	J	`jnl`	Towards Generative Video Compression. CoRR Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
2020	B	`conf`	Channel-Wise Autoregressive Entropy Models for Learned Image Compression. ICIP David Minnen, Saurabh Singh
2020	J	`jnl`	Channel-wise Autoregressive Entropy Models for Learned Image Compression. CoRR David Minnen, Saurabh Singh
2020	J	`jnl`	Nonlinear Transform Coding. CoRR Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
2020	A*	`conf`	Scale-Space Flow for End-to-End Optimized Video Compression. CVPR Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ballé, Sung Jin Hwang, George Toderici
2019	—	`conf`	Integer Networks for Data Compression with Latent-Variable Models. ICLR (Poster) Johannes Ballé, Nick Johnston, David Minnen
2018	B	`conf`	Image-Dependent Local Entropy Models for Learned Image Compression. ICIP David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell
2018	J	`jnl`	Image-Dependent Local Entropy Models for Learned Image Compression. CoRR David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell
2018	A*	`conf`	Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CVPR Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
2018	A*	`conf`	Joint Autoregressive and Hierarchical Priors for Learned Image Compression. NeurIPS David Minnen, Johannes Ballé, George Toderici
2018	J	`jnl`	Joint Autoregressive and Hierarchical Priors for Learned Image Compression. CoRR David Minnen, Johannes Ballé, George Toderici
2018	J	`jnl`	Spatially adaptive image compression using a tiled deep network. CoRR David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
2018	B	`conf`	Towards A Semantic Perceptual Image Metric. ICIP 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
2018	J	`jnl`	Towards a Semantic Perceptual Image Metric. CoRR 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
2018	—	`conf`	Variational image compression with a scale hyperprior. ICLR (Poster) Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
2018	J	`jnl`	Variational image compression with a scale hyperprior. CoRR Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
2017	A*	`conf`	Full Resolution Image Compression with Recurrent Neural Networks. CVPR George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell
2017	J	`jnl`	Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CoRR Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
2017	B	`conf`	Spatially adaptive image compression using a tiled deep network. ICIP David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
2017	J	`jnl`	Target-Quality Image Compression with Recurrent, Convolutional Neural Networks. CoRR Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici
2016	J	`jnl`	Full Resolution Image Compression with Recurrent Neural Networks. CoRR George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell
2016	A*	`conf`	Variable Rate Image Compression with Recurrent Neural Networks. ICLR (Poster) George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar
2011	—	`conf`	Towards robust cross-user hand tracking and shape recognition. ICCV Workshops David Minnen, Zahoor Zafrulla
2009	A*	`conf`	Discovering options from example trajectories. ICML Peng Zang, Peng Zhou, David Minnen, Charles Lee Isbell Jr.
2008	—	`conf`	Dimensionality Reduction for Improved Source Separation in FMRI Data. BIOSIGNALS (2) Rudolph L. Mappus IV, David Minnen, Charles Lee Isbell Jr.
2008	—	`—`	Unsupervised discovery of activity primitives from multivariate sensor data. David Minnen
2007	A*	`conf`	Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery. ICDM David Minnen, Charles L. Isbell Jr., Irfan A. Essa, Thad Starner
2007	A*	`conf`	Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning. AAAI David Minnen, Charles Lee Isbell Jr., Irfan A. Essa, Thad Starner
2007	A*	`conf`	Improving Activity Discovery with Automatic Neighborhood Estimation. IJCAI David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr.
2007	C	`conf`	Recognizing Soldier Activities in the Field. BSN David Minnen, Tracy L. Westeyn, Daniel Ashbrook, Peter Presti, Thad Starner
2006	Misc	`conf`	Discovering Characteristic Actions from On-Body Sensor Data. ISWC David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr.
2005	A	`conf`	Recognizing and Discovering Human Actions from On-Body Sensor Data. ICME David Minnen, Thad Starner, Jamie A. Ward, Paul Lukowicz, Gerhard Tröster
2004	—	`conf`	Propagation Networks for Recognition of Partially Ordered Sequential Action. CVPR (2) Yifan Shi, Yan Huang, David Minnen, Aaron F. Bobick, Irfan A. Essa
2003	—	`conf`	Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition. CVPR (2) David Minnen, Irfan A. Essa, Thad Starner
2003	J	`jnl`	The perceptive workbench: Computer-vision-based gesture tracking, object tracking, and 3D reconstruction for augmented desks. Mach. Vis. Appl. Thad Starner, Bastian Leibe, David Minnen, Tracy L. Westeyn, Amy Hurst, Justin Weeks
2001	C	`conf`	Integration of Wireless Gesture Tracking, Object Tracking, and 3D Reconstruction in the Perceptive Workbench. ICVS Bastian Leibe, David Minnen, Justin Weeks, Thad Starner