Olivier Canévet

According to our database1, Olivier Canévet authored at least 16 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2020

Multi-scale sequential network for semantic text segmentation and localization.
Pattern Recognit. Lett., 2020

WatchNet++: efficient and accurate depth-based network for detecting people attacks and intrusion.
Mach. Vis. Appl., 2020

The MuMMER Data Set for Robot Perception in Multi-party HRI Scenarios.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces.
CoRR, 2019

2018
Real-time Convolutional Networks for Depth-based Human Pose Estimation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Investigating Depth Domain Adaptation for Efficient Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

UNICITY: A depth maps database for people detection in security airlocks.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2016
Importance Sampling Tree for Large-scale Empirical Expectation.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Large Scale Hard Sample Mining with Monte Carlo Tree Search.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Sample Distillation for Object Detection and Image Classification.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

Efficient Sample Mining for Object Detection.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2012
Supervised re-segmentation for very high-resolution satellite images.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012


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