Generative adversarial networks: A survey toward private and secure applications
Generative Adversarial Networks (GANs) have promoted a variety of applications in
computer vision and natural language processing, among others, due to its generative …
computer vision and natural language processing, among others, due to its generative …
Visual content privacy protection: A survey
Vision is the most important sense for people, and it is also one of the main ways of
cognition. As a result, people tend to utilize visual content to capture and share their life …
cognition. As a result, people tend to utilize visual content to capture and share their life …
A study of face obfuscation in imagenet
Face obfuscation (blurring, mosaicing, etc.) has been shown to be effective for privacy
protection; nevertheless, object recognition research typically assumes access to complete …
protection; nevertheless, object recognition research typically assumes access to complete …
Ted-spad: Temporal distinctiveness for self-supervised privacy-preservation for video anomaly detection
Video anomaly detection (VAD) without human monitoring is a complex computer vision task
that can have a positive impact on society if implemented successfully. While recent …
that can have a positive impact on society if implemented successfully. While recent …
Spact: Self-supervised privacy preservation for action recognition
Visual private information leakage is an emerging key issue for the fast growing applications
of video understanding like activity recognition. Existing approaches for mitigating privacy …
of video understanding like activity recognition. Existing approaches for mitigating privacy …
An outlook into the future of egocentric vision
What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …
research in egocentric vision and the ever-anticipated future, where wearable computing …
CrowdFL: Privacy-Preserving Mobile Crowdsensing System Via Federated Learning
As an emerging sensing data collection paradigm, mobile crowdsensing (MCS) enjoys good
scalability and low deployment cost but raises privacy concerns. In this paper, we propose a …
scalability and low deployment cost but raises privacy concerns. In this paper, we propose a …
T-C3D: Temporal convolutional 3D network for real-time action recognition
Video-based action recognition with deep neural networks has shown remarkable progress.
However, most of the existing approaches are too computationally expensive due to the …
However, most of the existing approaches are too computationally expensive due to the …
Multi-gat: A graphical attention-based hierarchical multimodal representation learning approach for human activity recognition
Recognizing human activities is one of the crucial capabilities that a robot needs to have to
be useful around people. Although modern robots are equipped with various types of …
be useful around people. Although modern robots are equipped with various types of …
Learning privacy-preserving optics for human pose estimation
C Hinojosa, JC Niebles… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
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 …