University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Items where Author is "Ney, H"

Up a level
Export as [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | No Grouping
Number of items: 7.


Koller, O, Koller, O, Ney, H and Bowden, R (2014) Read my lips: Continuous signer independent weakly supervised viseme recognition Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8689 L (PART 1). pp. 281-296.

Koller, O, Koller, O, Ney, H and Bowden, R (2013) May the force be with you: Force-aligned signwriting for automatic subunit annotation of corpora 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013. pp. 1-6.

Conference or Workshop Item

Koller, O, Zargaran, O, Ney, H and Bowden, R (2016) Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition In: The British Machine Vision Conference (BMVC) 2016, 2016-09-19 - 2016-09-22, York.

Koller, O, Bowden, R and Ney, H (2016) Automatic Alignment of HamNoSys Subunits for Continuous Sign Language Recognition In: LREC 2016: 10th edition of the Language Resources and Evaluation Conference, 2016-05-23 - 2016-05-28, Portorož (Slovenia).

Koller, O, Ney, H and Bowden, R (2016) Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled In: CVPR 2016: IEEE Conference on Computer Vision and Pattern Recognition, 2016-06-26 - 2016-07-01, Las Vegas, NV, USA.

Koller, O, Ney, H and Bowden, R (2015) Deep Learning of Mouth Shapes for Sign Language In: Third Workshop on Assistive Computer Vision and Robotics (ACVR-15), ICCV 2015, 2015-12-13 - ?.

Koller, O, Ney, H and bowden, R (2014) Weakly Supervised Automatic Transcription of Mouthings for Gloss-Based Sign Language Corpora In: 9th International Conference on Language Resources and Evaluation (LREC), 2014-05-26 - 2014-05-31, Reykjavik, ICELAND.

This list was generated on Sun Feb 18 07:04:39 2018 UTC.

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800