activity
20192021
most citedA Survey of Wearable Devices Pairing Based on Biometric Signals

3 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG20211 cited

Breaking the curse of dimensionality with Isolation Kernel

Kai Ming Ting, Takashi Washio, Ye Zhu +1

The curse of dimensionality has been studied in different aspects. However, breaking the curse has been elusive. We show for the first time that it is possible to break the curse u…

cs.CR20213 cited

A Survey of Wearable Devices Pairing Based on Biometric Signals

Jafar Pourbemany, Ye Zhu, Riccardo Bettati

With the growth of wearable devices, which are usually constrained in computational power and user interface, this pairing has to be autonomous. Considering devices that do not hav…

cs.CR20211 cited

Breath to Pair (B2P): Respiration-Based Pairing Protocol for Wearable Devices

Jafar Pourbemany, Ye Zhu, Riccardo Bettati

We propose Breath to Pair (B2P), a protocol for pairing and shared-key generation for wearable devices that leverages the wearer's respiration activity to ensure that the devices a…

cs.CV2021

Saying the Unseen: Video Descriptions via Dialog Agents

Ye Zhu, Yu Wu, Yi Yang +1

Current vision and language tasks usually take complete visual data (e.g., raw images or videos) as input, however, practical scenarios may often consist the situations where part…

eess.IV2021

Real Time Video based Heart and Respiration Rate Monitoring

Jafar Pourbemany, Almabrok Essa, Ye Zhu

In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmographic (PP…

cs.CV2020

Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents

Ye Zhu, Yu Wu, Yi Yang +1

With the arising concerns for the AI systems provided with direct access to abundant sensitive information, researchers seek to develop more reliable AI with implicit information s…