Tomas Pfister
Tomas Pfister
Head of research @ Google Cloud AI
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Learning from simulated and unsupervised images through adversarial training
A Shrivastava, T Pfister, O Tuzel, J Susskind, W Wang, R Webb
Proceedings of the IEEE conference on computer vision and pattern …, 2017
14202017
Flowing convnets for human pose estimation in videos
T Pfister, J Charles, A Zisserman
Proceedings of the IEEE International Conference on Computer Vision, 1913-1921, 2015
4792015
Recognising Spontaneous Facial Micro-expressions
T Pfister, X Li, G Zhao, M Pietikäinen
International Conference on Computer Vision (ICCV), 2011
3482011
A Spontaneous Micro-expression Database: Inducement, Collection and Baseline
X Li, T Pfister, X Huang, G Zhao, M Pietikäinen
Automatic Face and Gesture Recognition (FG), 2013
3102013
Towards reading hidden emotions: A comparative study of spontaneous micro-expression spotting and recognition methods
X Li, X Hong, A Moilanen, X Huang, T Pfister, G Zhao, M Pietikäinen
IEEE transactions on affective computing 9 (4), 563-577, 2017
1922017
Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos
T Pfister, K Simonyan, J Charles, A Zisserman
Asian Conference on Computer Vision (ACCV), 2014
1442014
Differentiating Spontaneous From Posed Facial Expressions Within a Generic Facial Expression Recognition Framework
T Pfister, X Li, G Zhao, M Pietikäinen
International Conference on Computer Vision (ICCV) Workshops, 2011
962011
Personalizing human video pose estimation
J Charles, T Pfister, D Magee, D Hogg, A Zisserman
Proceedings of the IEEE conference on computer vision and pattern …, 2016
782016
Real-Time Recognition of Affective States from Nonverbal Features of Speech and Its Application for Public Speaking Skill Analysis
T Pfister, P Robinson
IEEE Transactions on Affective Computing 2 (2), 66-78, 2011
662011
Automatic and Efficient Human Pose Estimation for Sign Language Videos
J Charles, T Pfister, M Everingham, A Zisserman
International Journal of Computer Vision, 1-21, 2013
612013
Domain-adaptive discriminative one-shot learning of gestures
T Pfister, J Charles, A Zisserman
European Conference on Computer Vision, 814-829, 2014
602014
Tabnet: Attentive interpretable tabular learning
SO Arik, T Pfister
arXiv preprint arXiv:1908.07442, 2019
502019
Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences).
T Pfister, J Charles, A Zisserman
BMVC, 2013
462013
Reading hidden emotions: spontaneous micro-expression spotting and recognition
X Li, X Hong, A Moilanen, X Huang, T Pfister, G Zhao, M Pietikäinen
arXiv preprint arXiv:1511.00423 12, 32-33, 2015
442015
Speech emotion classification and public speaking skill assessment
T Pfister, P Robinson
Human Behavior Understanding Workshop, International Conference on Pattern …, 2010
352010
Temporal fusion transformers for interpretable multi-horizon time series forecasting
B Lim, SO Arik, N Loeff, T Pfister
arXiv preprint arXiv:1912.09363, 2019
342019
Domain adaptation for upper body pose tracking in signed TV broadcasts
J Charles, T Pfister, D Magee, D Hogg, A Zisserman
British Machine Vision Association, 2013
332013
A Simple Semi-Supervised Learning Framework for Object Detection
K Sohn, Z Zhang, CL Li, H Zhang, CY Lee, T Pfister
arXiv preprint arXiv:2005.04757, 2020
322020
Automated recognition algorithm for detecting facial expressions
T Pfister, M Pietikäinen, X Li, G Zhao
US Patent 8,848,068, 2014
312014
On concept-based explanations in deep neural networks
CK Yeh, B Kim, S Arik, CL Li, P Ravikumar, T Pfister
29*2019
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