1 citations · 1 across the 5 of their papers we have counts for
5 papers
FEEL (Force-Enhanced Egocentric Learning): A Dataset for Physical Action Understanding
Eadom Dessalene, Botao He, Michael Maynord +5
We introduce FEEL (Force-Enhanced Egocentric Learning), the first large-scale dataset pairing force measurements gathered from custom piezoresistive gloves with egocentric video. O…
Lessons Learned from Developing a Privacy-Preserving Multimodal Wearable for Local Voice-and-Vision Inference
Yonatan Tussa, Andy Heredia, Nirupam Roy
Many promising applications of multimodal wearables require continuous sensing and heavy computation, yet users reject such devices due to privacy concerns. This paper shares our e…
Enhancing Celestial Imaging: High Dynamic Range with Neuromorphic Cameras
Satyapreet Singh Yadav, Nirupam Roy, Chetan Singh Thakur
Conventional frame-based cameras often struggle with limited dynamic range, leading to saturation and loss of detail when capturing scenes with significant brightness variations. N…
Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits
Satyapreet Singh Yadav, Bikram Pradhan, Kenil Rajendrabhai Ajudiya +4
To deepen our understanding of optical astronomy, we must advance imaging technology to overcome conventional frame-based cameras' limited dynamic range and temporal resolution. Ou…
Continuous Pupillography: A Case for Visual Health Ecosystem
Usama Younus, Nirupam Roy
This article aims to cover pupillography, and its potential use in a number of ophthalmological diagnostic applications in biomedical space. With the ever-increasing incorporation…