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WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems.

, , , and . AVSS, page 1-6. IEEE, (2018)

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WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems., , , and . AVSS, page 1-6. IEEE, (2018)UNICITY: A depth maps database for people detection in security airlocks., , , , , , , and . AVSS, page 1-6. IEEE, (2018)MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces., , , , , , , , , and 20 other author(s). CoRR, (2019)Sample Distillation for Object Detection and Image Classification., , and . ACML, volume 39 of JMLR Workshop and Conference Proceedings, JMLR.org, (2014)Investigating Depth Domain Adaptation for Efficient Human Pose Estimation., , , and . ECCV Workshops (2), volume 11130 of Lecture Notes in Computer Science, page 346-363. Springer, (2018)Importance Sampling Tree for Large-scale Empirical Expectation., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1454-1462. JMLR.org, (2016)Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation., , , and . CoRR, (2019)Supervised re-segmentation for very high-resolution satellite images., , and . IGARSS, page 68-71. IEEE, (2012)Large Scale Hard Sample Mining with Monte Carlo Tree Search., and . CVPR, page 5128-5137. IEEE Computer Society, (2016)WatchNet++: efficient and accurate depth-based network for detecting people attacks and intrusion., , , and . Mach. Vis. Appl., 31 (6): 41 (2020)