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Y

HeadFusion: 360 degree Head Pose Tracking Combining 3D Morphable Model and 3D Reconstruction, Yu Yu, Kenneth Alberto Funes Mora and Jean-Marc Odobez, in: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 40(11), 2018
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Robust and Accurate 3D Head Pose Estimation through 3DMM and Online Head Model Reconstruction, Yu Yu, Kenneth Alberto Funes Mora and Jean-Marc Odobez, in: Proceedings of the 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017), 2017
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Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis, Yu Yu, Gang Liu and Jean-Marc Odobez, in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019
Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model, Yu Yu, Gang Liu and Jean-Marc Odobez, in: European Conference on Computer Vision Workshop, 2018
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Unsupervised Representation Learning for Gaze Estimation, Yu Yu and Jean-Marc Odobez, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
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Z

Evaluation Databases, Stan Z.Li, Javier Galbally, André Anjos and Sébastien Marcel, in: Handbook of Biometric Anti-Spoofing, pages 247-278, Springer-Verlag, 2014
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A MultiPath Network for Object Detection, Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala and Piotr Dollar, in: Proceedings of the British Machine Vision Conference, BMVA Press, 2016
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Variable Duration Movement Encoding with Minimal Intervention Control, M. Zeestraten, Sylvain Calinon and D. G. Caldwell, in: Proc. of the IEEE Intl Conf. on Robotics and Automation (ICRA), pages 497-503, 2016
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Learned Minimal Intervention Control Synthesis based on Hidden Semi-Markov Models, M. Zeestraten, Sylvain Calinon and D. G. Caldwell, in: Proc. of the 8th Intl Workshop on Human-Friendly Robotics, pages 17, 2015
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Programming by Demonstration for Shared Control with an Application in Teleoperation, M. Zeestraten, I. Havoutis and Sylvain Calinon, in: IEEE Robotics and Automation Letters (RA-L), 3(3):1848-1855, 2018
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Learning Task-Space Synergies using Riemannian Geometry, M. Zeestraten, I. Havoutis, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), Vancouver, Canada, pages 73-78, IEEE, 2017
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An Approach for Imitation Learning on Riemannian Manifolds, M. Zeestraten, I. Havoutis, J. Silverio, Sylvain Calinon and D. G. Caldwell, in: IEEE Robotics and Automation Letters (RA-L), 2(3):1240-1247, 2017
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Online motion synthesis with minimal intervention control and formal safety guarantees, M. Zeestraten, A. Pereira, M. Althoff and Sylvain Calinon, in: Proc. IEEE Intl Conf. on Systems, Man, and Cybernetics, Budapest, Hungary, 2016
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Probabilistic Graphical Models for Human Interaction Analysis, Dong Zhang, École Polytechnique Fédérale de Lausanne, 2006
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Exploring Contextual Information in a Layered Framework for Group Action Recognition, Dong Zhang, Daniel Gatica-Perez and Samy Bengio, in: In the Eighth International Conference on Multimodal Interfaces (ICMI'06), 2006
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Modeling Individual and Group Actions in Meetings: a Two-Layer HMM Framework, Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain A. McCowan and Guillaume Lathoud, in: the Second IEEE Workshop on Event Mining: Detection and Recognition of Events in Video, In Association with CVPR, 2004
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Multimodal Group Action Clustering in Meetings, Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain A. McCowan and Guillaume Lathoud, in: ACM 2nd International Workshop on Video Surveillance & Sensor Networks in conjunction with 12th ACM International Conference on Multimedia, 2004
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Real-Time Face Detection Using Boosting Learning in Hierarchical Feature Spaces, Dong Zhang, S. Z. Li and Daniel Gatica-Perez, in: the International Conference on Pattern Recognition (ICPR), 2004
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Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders, Yingji Zhang, Danilo Carvalho, Marco Valentino, Ian Pratt-Hartmann and Andre Freitas, in: Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
Encoding Explanatory Knowledge for Zero-shot Science Question Answering, Zili Zhou, Marco Valentino, Donal Landers and Andre Freitas, in: 14th International Conference on Computational Semantics, 2021
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