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Siamese neural networks: An overview
Similarity has always been a key aspect in computer science and statistics. Any time two
element vectors are compared, many different similarity approaches can be used …
element vectors are compared, many different similarity approaches can be used …
Synthetic data in human analysis: A survey
Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …
of applications, such as biometric recognition, action recognition, as well as person re …
Ciagan: Conditional identity anonymization generative adversarial networks
The unprecedented increase in the usage of computer vision technology in society goes
hand in hand with an increased concern in data privacy. In many real-world scenarios like …
hand in hand with an increased concern in data privacy. In many real-world scenarios like …
Learning to anonymize faces for privacy preserving action detection
There is an increasing concern in computer vision devices invading the privacy of their
users. We want the camera systems/robots to recognize important events and assist human …
users. We want the camera systems/robots to recognize important events and assist human …
Towards privacy-preserving visual recognition via adversarial training: A pilot study
This paper aims to improve privacy-preserving visual recognition, an increasingly
demanded feature in smart camera applications, by formulating a unique adversarial …
demanded feature in smart camera applications, by formulating a unique adversarial …
Privacy-preserving optics for enhancing protection in face de-identification
The modern surge in camera usage alongside widespread computer vision technology
applications poses significant privacy and security concerns. Current artificial intelligence …
applications poses significant privacy and security concerns. Current artificial intelligence …
Characterizing the deployment of deep neural networks on commercial edge devices
The great success of deep neural networks (DNNs) has significantly assisted humans in
numerous applications such as computer vision. DNNs are widely used in today's …
numerous applications such as computer vision. DNNs are widely used in today's …
Learning privacy-preserving optics for human pose estimation
The widespread use of always-connected digital cameras in our everyday life has led to
increasing concerns about the users' privacy and security. How to develop privacy …
increasing concerns about the users' privacy and security. How to develop privacy …
Channel Attention‐Based Approach with Autoencoder Network for Human Action Recognition in Low‐Resolution Frames
E Dastbaravardeh, S Askarpour… - … Journal of Intelligent …, 2024 - Wiley Online Library
Action recognition (AR) has many applications, including surveillance, health/disabilities
care, man‐machine interactions, video‐content‐based monitoring, and activity recognition …
care, man‐machine interactions, video‐content‐based monitoring, and activity recognition …
Siamese alignment network for weakly supervised video moment retrieval
Video moment retrieval, ie, localizing the specific video moments within a video given a
description query, has attracted substantial attention over the past several years. Although …
description query, has attracted substantial attention over the past several years. Although …