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20212026
most citedAstroformer: More Data Might not be all you need for Classification

7 citations · 14 across the 17 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

eess.IV2024

Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH Spacecraft

Ian Vyse, Rishit Dagli, Dav Vrat Chadha +26

Satellite remote sensing missions have gained popularity over the past fifteen years due to their ability to cover large swaths of land at regular intervals, making them ideal for…

cs.CV2024★ 1 cited

SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound

Rishit Dagli, Shivesh Prakash, Robert Wu +1

Generating combined visual and auditory sensory experiences is critical for the consumption of immersive content. Recent advances in neural generative models have enabled the creat…

eess.IV2024★ 1 cited

DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light Images

Rishit Dagli

Imaging under extremely low-light conditions presents a significant challenge and is an ill-posed problem due to the low signal-to-noise ratio (SNR) caused by minimal photon captur…

cs.SD2024

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…