7 citations · 8 across the 4 of their papers we have counts for
4 papers
AirLetters: An Open Video Dataset of Characters Drawn in the Air
Rishit Dagli, Guillaume Berger, Joanna Materzynska +2
We introduce AirLetters, a new video dataset consisting of real-world videos of human-generated, articulated motions. Specifically, our dataset requires a vision model to predict l…
NeRF-US: Removing Ultrasound Imaging Artifacts from Neural Radiance Fields in the Wild
Rishit Dagli, Atsuhiro Hibi, Rahul G. Krishnan +1
Current methods for performing 3D reconstruction and novel view synthesis (NVS) in ultrasound imaging data often face severe artifacts when training NeRF-based approaches. The arti…
Tuning In: Analysis of Audio Classifier Performance in Clinical Settings with Limited Data
Hamza Mahdi, Eptehal Nashnoush, Rami Saab +4
This study assesses deep learning models for audio classification in a clinical setting with the constraint of small datasets reflecting real-world prospective data collection. We…
Astroformer: More Data Might not be all you need for Classification
Rishit Dagli
Recent advancements in areas such as natural language processing and computer vision rely on intricate and massive models that have been trained using vast amounts of unlabelled or…