2022
Dave, Ishan Rajendrakumar; Chen, Chen; Shah, Mubarak
SPAct: Self-supervised Privacy Preservation for Action Recognition Conference
IEEE Computer Vision and Pattern Recognition, 2022.
Tags: Action Recognition, CVPR, Privacy Preservation | Links:
@conference{nokey_104,
title = {SPAct: Self-supervised Privacy Preservation for Action Recognition},
author = {Ishan Rajendrakumar Dave and Chen Chen and Mubarak Shah},
url = {https://arxiv.org/pdf/2203.15205.pdf
https://github.com/DAVEISHAN/SPAct https://www.youtube.com/watch?v=_PAlMT7ozts},
year = {2022},
date = {2022-06-19},
urldate = {2022-06-19},
publisher = {IEEE Computer Vision and Pattern Recognition},
keywords = {Action Recognition, CVPR, Privacy Preservation},
pubstate = {published},
tppubtype = {conference}
}
Dave, Ishan Rajendrakumar; Chen, Chen; Shah, Mubarak
SPAct: Self-supervised Privacy Preservation for Action Recognition Conference
IEEE Computer Vision and Pattern Recognition, 2022.
Tags: Action Recognition, CVPR, Privacy Preservation | Links:
@conference{nokey_152,
title = {SPAct: Self-supervised Privacy Preservation for Action Recognition},
author = {Ishan Rajendrakumar Dave and Chen Chen and Mubarak Shah},
url = {https://arxiv.org/pdf/2203.15205.pdf
https://github.com/DAVEISHAN/SPAct https://www.youtube.com/watch?v=_PAlMT7ozts},
year = {2022},
date = {2022-06-19},
urldate = {2022-06-19},
publisher = {IEEE Computer Vision and Pattern Recognition},
keywords = {Action Recognition, CVPR, Privacy Preservation},
pubstate = {published},
tppubtype = {conference}
}
0000
Test Bachelor Thesis
0000.
Tags: Crowd Analysis, Damage Assessment, DIVA, Drone Video Analysis, EEG/Brain, Incremental Learning, Learning with Less Labels, LIDAR, Multi-Modal Learning, Noisy Labels, Open World, Out of Distribution (OOD), Privacy Preservation, Pseudo-Labeling, SAR, Self-Joint Learning, Semi-supervised learning, Tiny Actions, Video Synopsis, Video Synthesis, View-Invariance, Weakly Supervised Learning, Wildlife Preservation
@bachelorthesis{nokey_135,
title = {Test},
keywords = {Crowd Analysis, Damage Assessment, DIVA, Drone Video Analysis, EEG/Brain, Incremental Learning, Learning with Less Labels, LIDAR, Multi-Modal Learning, Noisy Labels, Open World, Out of Distribution (OOD), Privacy Preservation, Pseudo-Labeling, SAR, Self-Joint Learning, Semi-supervised learning, Tiny Actions, Video Synopsis, Video Synthesis, View-Invariance, Weakly Supervised Learning, Wildlife Preservation},
pubstate = {published},
tppubtype = {bachelorthesis}
}
Test Bachelor Thesis
0000.
Tags: Crowd Analysis, Damage Assessment, DIVA, Drone Video Analysis, EEG/Brain, Incremental Learning, Learning with Less Labels, LIDAR, Multi-Modal Learning, Noisy Labels, Open World, Out of Distribution (OOD), Privacy Preservation, Pseudo-Labeling, SAR, Self-Joint Learning, Semi-supervised learning, Tiny Actions, Video Synopsis, Video Synthesis, View-Invariance, Weakly Supervised Learning, Wildlife Preservation
@bachelorthesis{nokey_171,
title = {Test},
keywords = {Crowd Analysis, Damage Assessment, DIVA, Drone Video Analysis, EEG/Brain, Incremental Learning, Learning with Less Labels, LIDAR, Multi-Modal Learning, Noisy Labels, Open World, Out of Distribution (OOD), Privacy Preservation, Pseudo-Labeling, SAR, Self-Joint Learning, Semi-supervised learning, Tiny Actions, Video Synopsis, Video Synthesis, View-Invariance, Weakly Supervised Learning, Wildlife Preservation},
pubstate = {published},
tppubtype = {bachelorthesis}
}