David Minnen
David Minnen
Verified email at google.com
TitleCited byYear
Full resolution image compression with recurrent neural networks
G Toderici, D Vincent, N Johnston, S Jin Hwang, D Minnen, J Shor, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2752017
Variable rate image compression with recurrent neural networks
G Toderici, SM O'Malley, SJ Hwang, D Vincent, D Minnen, S Baluja, ...
arXiv preprint arXiv:1511.06085, 2015
1812015
Propagation networks for recognition of partially ordered sequential action
Y Shi, Y Huang, D Minnen, A Bobick, I Essa
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
1672004
Discovering characteristic actions from on-body sensor data
D Minnen, T Starner, I Essa, C Isbell
2006 10th IEEE international symposium on wearable computers, 11-18, 2006
1602006
Expectation grammars: Leveraging high-level expectations for activity recognition
D Minnen, I Essa, T Starner
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
1392003
Variational image compression with a scale hyperprior
J Ballé, D Minnen, S Singh, SJ Hwang, N Johnston
arXiv preprint arXiv:1802.01436, 2018
1132018
The perceptive workbench: Computer-vision-based gesture tracking, object tracking, and 3D reconstruction for augmented desks
T Starner, B Leibe, D Minnen, T Westyn, A Hurst, J Weeks
Machine Vision and Applications 14 (1), 59-71, 2003
1012003
Improved lossy image compression with priming and spatially adaptive bit rates for recurrent networks
N Johnston, D Vincent, D Minnen, M Covell, S Singh, T Chinen, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
952018
Recognizing and discovering human actions from on-body sensor data
D Minnen, T Starner, JA Ward, P Lukowicz, G Troster
2005 IEEE International Conference on Multimedia and Expo, 1545-1548, 2005
922005
Discovering multivariate motifs using subsequence density estimation and greedy mixture learning
D Minnen, CL Isbell, I Essa, T Starner
Proceedings of the National Conference on Artificial Intelligence 22 (1), 615, 2007
912007
Detecting subdimensional motifs: An efficient algorithm for generalized multivariate pattern discovery
D Minnen, C Isbell, I Essa, T Starner
Seventh IEEE International Conference on Data Mining (ICDM 2007), 601-606, 2007
892007
Improving Activity Discovery with Automatic Neighborhood Estimation.
D Minnen, T Starner, IA Essa, CL Isbell Jr
IJCAI 7, 2814-2819, 2007
752007
Recognizing soldier activities in the field
D Minnen, T Westeyn, D Ashbrook, P Presti, T Starner
4th International workshop on wearable and implantable body sensor networks …, 2007
592007
Joint autoregressive and hierarchical priors for learned image compression
D Minnen, J Ballé, GD Toderici
Advances in Neural Information Processing Systems, 10771-10780, 2018
572018
Performance metrics and evaluation issues for continuous activity recognition
D Minnen, T Westeyn, T Starner, J Ward, P Lukowicz
Performance metrics for intelligent systems. NIST, Gaithersburg, 141-148, 2006
552006
Fast fingertip detection for initializing a vision-based hand tracker
D Minnen
US Patent 8,941,588, 2015
492015
Similarity-based analysis for large networks of ultra-low resolution sensors
CR Wren, DC Minnen, SG Rao
Pattern Recognition 39 (10), 1918-1931, 2006
352006
Towards robust cross-user hand tracking and shape recognition
D Minnen, Z Zafrulla
2011 IEEE international conference on computer vision workshops (ICCV …, 2011
322011
Discovering options from example trajectories
P Zang, P Zhou, D Minnen, C Isbell
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
202009
Spatially adaptive image compression using a tiled deep network
D Minnen, G Toderici, M Covell, T Chinen, N Johnston, J Shor, SJ Hwang, ...
2017 IEEE International Conference on Image Processing (ICIP), 2796-2800, 2017
192017
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