most citedRecurrent Super-Resolution Method for Enhancing Low Quality Thermal Facial Data

1 citations · 3 across the 5 of their papers we have counts for

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5 papers

cs.CV20221 cited

DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition

Santosh Kumar Yadav, Achleshwar Luthra, Esha Pahwa +4

Human activity recognition (HAR) using drone-mounted cameras has attracted considerable interest from the computer vision research community in recent years. A robust and efficient…

cs.CV20221 cited

SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition

Santosh Kumar Yadav, Esha Pahwa, Achleshwar Luthra +3

Drone-camera based human activity recognition (HAR) has received significant attention from the computer vision research community in the past few years. A robust and efficient HAR…

cs.CV2022

Control and Evaluation of Event Cameras Output Sharpness via Bias

Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2

Event cameras also known as neuromorphic sensors are relatively a new technology with some privilege over the RGB cameras. The most important one is their difference in capturing t…

cs.CV20221 cited

Recurrent Super-Resolution Method for Enhancing Low Quality Thermal Facial Data

David O'Callaghan, Cian Ryan, Waseem Shariff +3

The process of obtaining high-resolution images from single or multiple low-resolution images of the same scene is of great interest for real-world image and signal processing appl…

cs.SD2022

A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis

Rishabh Jain, Mariam Yiwere, Dan Bigioi +2

Speech synthesis has come a long way as current text-to-speech (TTS) models can now generate natural human-sounding speech. However, most of the TTS research focuses on using adult…