A5073107810- Remote Sensing and LiDAR Applications
- Video Surveillance and Tracking Methods
- 3D Shape Modeling and Analysis
- 3D Modeling in Geospatial Applications
- Automated Road and Building Extraction
- Advanced Neural Network Applications
- Air Quality and Health Impacts
- Autism Spectrum Disorder Research
- Neurobiology of Language and Bilingualism
- Mercury impact and mitigation studies
- Language Development and Disorders
New York University
2022-2024
The increasing availability of high-resolution satellite imagery has enabled the use machine learning to support land-cover measurement and inform policy-making. However, labelling images is expensive available for only some locations. This prompts transfer adapt models from data-rich locations others. Given potential high-impact applications across geographies, a systematic assessment implications warranted. In this work, we consider task segmentation study fairness transferring We leverage...
Introduction Neurodegenerative and psychiatric disorders (NPDs) confer a huge health burden, which is set to increase as populations age. New, remotely delivered diagnostic assessments that can detect early stage NPDs by profiling speech could enable earlier intervention fewer missed diagnoses. The feasibility of collecting data in those with should be established. Methods analysis present study will assess the obtaining data, collected using smartphone app, from individuals across three NPD...
City modeling and generation have attracted an increased interest in various applications, including gaming, urban planning, autonomous driving. Unlike previous works focused on the of single objects or indoor scenes, huge volumes spatial data cities pose a challenge to generative models. Furthermore, few publicly available 3D real-world city datasets also hinder development methods for generation. In this paper, we first collect over 3,000,000 geo-referenced New York, Zurich, Tokyo, Berlin,...
The increasing availability of high-resolution satellite imagery has enabled the use machine learning to support land-cover measurement and inform policy-making. However, labelling images is expensive available for only some locations. This prompts transfer adapt models from data-rich locations others. Given potential high-impact applications across geographies, a systematic assessment implications warranted. In this work, we consider task segmentation study fairness transferring We leverage...