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David Minnen
David Minnen
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Title
Cited by
Cited by
Year
Variational image compression with a scale hyperprior
J Ballé, D Minnen, S Singh, SJ Hwang, N Johnston
arXiv preprint arXiv:1802.01436, 2018
8502018
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
7642017
Joint autoregressive and hierarchical priors for learned image compression
D Minnen, J Ballé, GD Toderici
Advances in neural information processing systems 31, 2018
5942018
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
5382015
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
3362018
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
1982006
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
1882004
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
1542003
Scale-space flow for end-to-end optimized video compression
E Agustsson, D Minnen, N Johnston, J Balle, SJ Hwang, G Toderici
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1232020
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
1202007
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
1192003
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
1102007
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
1082005
Channel-wise autoregressive entropy models for learned image compression
D Minnen, S Singh
2020 IEEE International Conference on Image Processing (ICIP), 3339-3343, 2020
1002020
Improving Activity Discovery with Automatic Neighborhood Estimation.
D Minnen, T Starner, IA Essa, CL Isbell Jr
IJCAI 7, 2814-2819, 2007
842007
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
752007
Performance metrics and evaluation issues for continuous activity recognition
D Minnen, T Westeyn, T Starner, JA Ward, P Lukowicz
Performance Metrics for Intelligent Systems 4, 141-148, 2006
752006
Nonlinear transform coding
J Ballé, PA Chou, D Minnen, S Singh, N Johnston, E Agustsson, ...
IEEE Journal of Selected Topics in Signal Processing 15 (2), 339-353, 2020
722020
Fast fingertip detection for initializing a vision-based hand tracker
D Minnen
US Patent 8,941,588, 2015
592015
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
472017
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