activity
20192024
most citedHigh-Fidelity Cellular Network Control-Plane Traffic Generation without Domain Knowledge

4 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2024★ 4 cited

High-Fidelity Cellular Network Control-Plane Traffic Generation without Domain Knowledge

Z. Jonny Kong, Nathan Hu, Y. Charlie Hu +2

With rapid evolution of mobile core network (MCN) architectures, large-scale control-plane traffic (CPT) traces are critical to studying MCN design and performance optimization by…

cs.CY2023★ 1 cited

Securing Bystander Privacy in Mixed Reality While Protecting the User Experience

Matthew Corbett, Brendan David-John, Jiacheng Shang +2

The modern Mixed Reality devices that make the Metaverse viable require vast information about the physical world and can also violate the privacy of unsuspecting or unwilling byst…

cs.CV2022

Elixir: A system to enhance data quality for multiple analytics on a video stream

Sibendu Paul, Kunal Rao, Giuseppe Coviello +4

IoT sensors, especially video cameras, are ubiquitously deployed around the world to perform a variety of computer vision tasks in several verticals including retail, healthcare, s…

cs.CV2022

APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning

Sibendu Paul, Kunal Rao, Giuseppe Coviello +4

Cameras are increasingly being deployed in cities, enterprises and roads world-wide to enable many applications in public safety, intelligent transportation, retail, healthcare and…

cs.CV2022

Why is the video analytics accuracy fluctuating, and what can we do about it?

Sibendu Paul, Kunal Rao, Giuseppe Coviello +4

It is a common practice to think of a video as a sequence of images (frames), and re-use deep neural network models that are trained only on images for similar analytics tasks on v…

cs.LG2021★ 1 cited

Enhancing Video Analytics Accuracy via Real-time Automated Camera Parameter Tuning

Sibendu Paul, Kunal Rao, Giuseppe Coviello +4

In Video Analytics Pipelines (VAP), Analytics Units (AUs) such as object detection and face recognition running on remote servers critically rely on surveillance cameras to capture…

cs.NI2019

Predictive Scheduling for Virtual Reality

I-Hong Hou, Narges Zarnaghi Naghsh, Sibendu Paul +2

A significant challenge for future virtual reality (VR) applications is to deliver high quality-of-experience, both in terms of video quality and responsiveness, over wireless netw…