Search Results for author:
Found 8 papers, 3 papers with code
Non-contact Infant Sleep Apnea Detection
This paper presents a novel algorithm for the detection of sleep apnea with video processing.
Hands Off: A Handshake Interaction Detection and Localization Model for COVID-19 Threat Control
The proposed model is the first dyadic interaction localizer in a multi-person setting, which enables it to be used in public spaces to identify handshake interactions and thereby identify and mitigate COVID-19 transmission.
Holistic Interpretation of Public Scenes Using Computer Vision and Temporal Graphs to Identify Social Distancing Violations
The system strives to holistically capture and interpret the information content of CCTV footage spanning multiple frames to recognize instances of various violations of social distancing protocols, across time and space, as well as identification of group behaviors.
A Retinex based GAN Pipeline to Utilize Paired and Unpaired Datasets for Enhancing Low Light Images
Low light image enhancement is an important challenge for the development of robust computer vision algorithms.
DeepLight: Robust & Unobtrusive Real-time Screen-Camera Communication for Real-World Displays
We show that a fully functional DeepLight system is able to robustly achieve high decoding accuracy (frame error rate < 0. 2) and moderately-high data goodput (>=0. 95Kbps) using a human-held smartphone camera, even over larger screen-camera distances (approx =2m).
An Optical physics inspired CNN approach for intrinsic image decomposition
There is a lack of unsupervised learning approaches for decomposing an image into reflectance and shading using a single image.
A generalized forecasting solution to enable future insights of COVID-19 at sub-national level resolutions
In this study, a forecasting solution is proposed, to predict daily new cases of COVID-19 in regions small enough where containment measures could be locally implemented, by targeting three main shortcomings that exist in literature; the unreliability of existing data caused by inconsistent testing patterns in smaller regions, weak deploy-ability of forecasting models towards predicting cases in previously unseen regions, and model training biases caused by the imbalanced nature of data in COVID-19 epi-curves.
Unified Spatio-Temporal Tri-Perspective View Representation for 3D Semantic Occupancy Prediction
Holistic understanding and reasoning in 3D scenes play a vital role in the success of autonomous driving systems.
