activity
20172021
most citedBuSCOPE : Fusing Individual & Aggregated Mobility Behavior for "Live" Smart City Services

17 citations · 24 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CV2021

DeepLight: Robust & Unobtrusive Real-time Screen-Camera Communication for Real-World Displays

Vu Tran, Gihan Jayatilaka, Ashwin Ashok +1

The paper introduces a novel, holistic approach for robust Screen-Camera Communication (SCC), where video content on a screen is visually encoded in a human-imperceptible fashion a…

cs.NI2021

Experiences & Challenges with Server-Side WiFi Indoor Localization Using Existing Infrastructure

Dheryta Jaisinghani, Vinayak Naik, Rajesh Balan +2

Real-world deployments of WiFi-based indoor localization in large public venues are few and far between as most state-of-the-art solutions require either client or infrastructure-s…

cs.CV2020

Enabling Collaborative Video Sensing at the Edge through Convolutional Sharing

Kasthuri Jayarajah, Dhanuja Wanniarachchige, Archan Misra

While Deep Neural Network (DNN) models have provided remarkable advances in machine vision capabilities, their high computational complexity and model sizes present a formidable ro…

cs.HC2020

Jointly Optimizing Sensing Pipelines for Multimodal Mixed Reality Interaction

Darshana Rathnayake, Ashen de Silva, Dasun Puwakdandawa +3

Natural human interactions for Mixed Reality Applications are overwhelmingly multimodal: humans communicate intent and instructions via a combination of visual, aural and gestural…

cs.OH2019

Inferring Accurate Bus Trajectories from Noisy Estimated Arrival Time Records

Lakmal Meegahapola, Noel Athaide, Kasthuri Jayarajah +2

Urban commuting data has long been a vital source of understanding population mobility behaviour and has been widely adopted for various applications such as transport infrastructu…

cs.CV20192 cited

Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units

Lakmal Meegahapola, Vengateswaran Subramaniam, Lance Kaplan +1

In this paper, we introduce the concept of Prior Activation Distribution (PAD) as a versatile and general technique to capture the typical activation patterns of hidden layer units…