Keywords:
Publications of Olivier Canévet sorted by recency
| Investigating Semantic Segmentation Models to Assist Visually Impaired People, , and , in: European Conference on Computer Vision - Workshops, 2024 |
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| Investigating Semantic Segmentation Models to Assist Visually Impaired People, , and , Idiap-RR-13-2024 |
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| The MuMMER data set for Robot Perception in multi-party HRI Scenarios, , , and , in: Proceedings of the 29th IEEE International Conference on Robot & Human Interactive Communication, 2020 |
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| WatchNet++: Efficient and accurate depth-based network for detecting people attacks and intrusion, , , and , in: Machine Vision and Applications, 2020 |
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| Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation, , , and , in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020 |
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| Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation, , , and , in: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 30(11):4207-4221, 2020 |
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| Multi-scale sequential network for semantic text segmentation and localization, , and , in: Pattern Recognition Letters, 129:63-69, 2020 |
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| Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation, , and , in: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, SPAIN, pages 1089-1094, IEEE, 2018 |
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| UNICITY: A depth maps database for people detection in security airlocks, , , , , , , and , in: IEEE International Conference on Advanced Video and Signal-based Surveillance Workshop, 2018 |
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| WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems, , , and , in: IEEE International Conference on Advanced Video and Signal-based Surveillance, Auckland, NEW ZEALAND, pages 109-114, 2018 |
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| Investigating Depth Domain Adaptation for Efficient Human Pose Estimation, , , and , in: European Conference on Computer Vision - Workshops, 2018 |
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| Real-time Convolutional Networks for Depth-based Human Pose Estimation, , , and , in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018 |
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| Object Detection with Active Sample Harvesting, , École Polytechnique Fédérale de Lausanne, 2017 |
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| Importance Sampling Tree for Large-scale Empirical Expectation, , and , in: Proceedings of the International Conference on Machine Learning (ICML), New-York, 2016 |
| Large Scale Hard Sample Mining with Monte Carlo Tree Search, and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016 |
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| Sample Distillation for Object Detection and Image Classification, , and , in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014 |
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| Efficient Sample Mining for Object Detection, and , in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014 |
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