Keywords:
Publications of Angel Martínez-González sorted by journal and type
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
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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Machine Vision and Applications
WatchNet++: Efficient and accurate depth-based network for detecting people attacks and intrusion, , , and , in: Machine Vision and Applications, 2020 |
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IEEE/RSJ International Conference on Intelligent Robots and Systems (2021)
An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning, , and , in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021 |
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International Conference in Computer Vision - Workshops (2021)
Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers, , and , in: International Conference in Computer Vision - Workshops, 2021 |
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IEEE/RSJ International Conference on Intelligent Robots and Systems (2020)
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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European Conference on Computer Vision - Workshops (2018)
Investigating Depth Domain Adaptation for Efficient Human Pose Estimation, , , and , in: European Conference on Computer Vision - Workshops, 2018 |
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IEEE/RSJ International Conference on Intelligent Robots and Systems (2018)
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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IEEE International Conference on Advanced Video and Signal-based Surveillance (2018)
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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Publications of type Phdthesis
2021
Efficient Depth-based Deep Learning Methods for Multi-Party Pose Estimation, , École polytechnique fédérale de Lausanne, 2021 |
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