Transfer learning approach to map urban slums using high and medium resolution satellite imagery D Verma, A Jana, K Ramamritham Habitat International 88, 101981, 2019 | 70 | 2019 |
Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips D Verma, A Jana, K Ramamritham Building and Environment 186, 107340, 2020 | 51 | 2020 |
Machine-based understanding of manually collected visual and auditory datasets for urban perception studies D Verma, A Jana, K Ramamritham Landscape and Urban Planning 190, 103604, 2019 | 29 | 2019 |
LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai D Verma, A Jana arXiv preprint arXiv:1909.09774, 2019 | 24 | 2019 |
Classification and mapping of sound sources in local urban streets through AudioSet data and Bayesian optimized Neural Networks D Verma, A Jana, K Ramamritham Noise Mapping 6 (1), 52-71, 2019 | 17 | 2019 |
Quantifying urban surroundings using deep learning techniques: a new proposal D Verma, A Jana, K Ramamritham Urban Science 2 (3), 78, 2018 | 12 | 2018 |
Artificial intelligence and human senses for the evaluation of urban surroundings D Verma, A Jana, K Ramamritham Intelligent Human Systems Integration 2019: Proceedings of the 2nd …, 2019 | 7 | 2019 |
Identifying Streetscape Features Using VHR Imagery and Deep Learning Applications D Verma, O Mumm, VM Carlow Remote Sensing 13 (17), 3363, 2021 | 6 | 2021 |
Applicability of Big Data for transportation planning and management D Verma, V Varghese, A Jana Advances in Urban Planning in Developing Nations, 99-110, 2021 | 3 | 2021 |
Classification and mapping of sound sources in local urban streets through AudioSet data and Bayesian optimized Neural Networks, Noise Mapp. 6 (1)(2019) 52–71 D Verma, A Jana, K Ramamritham | 3 | 2019 |
Urban perception experiments: Transition from traditional to advanced methods D Verma, A Jana Advances in Urban Planning in Developing Nations, 18-49, 2021 | 2 | 2021 |
Generative agents in the streets: Exploring the use of Large Language Models (LLMs) in collecting urban perceptions D Verma, O Mumm, VM Carlow arXiv preprint arXiv:2312.13126, 2023 | 1 | 2023 |
Generating citywide street cross-sections using aerial LiDAR and detailed street plan D Verma, O Mumm, VM Carlow Sustainable Cities and Society 96, 104673, 2023 | | 2023 |
FoldingNet Autoencoder model to create a geospatial grouping of CityGML building dataset D Verma, O Mumm, VM Carlow arXiv preprint arXiv:2212.13965, 2022 | | 2022 |
Analyzing New Frontiers in Urban Preference and Perception Research D Verma, A Jana, K Ramamritham Geospatial Technology and Smart Cities: ICT, Geoscience Modeling, GIS and …, 2021 | | 2021 |
Urban Envelope: Representing Audio and Visual Features Extracted from Deep Learning Techniques D Verma, A Jana Urban Science and Engineering: Proceedings of ICUSE 2020, 231, 2021 | | 2021 |
Audio and Visual Perception Dataset D Verma, A Jana, K Ramamritham https://data.mendeley.com/datasets/3hrb6gsgyn/2, 2019 | | 2019 |
Identifying degrees of built arrangement in Indian cities through mid-resolution satellite imagery and Convolutional Neural Networks D Verma, A Jana, K Ramamritham 2019 International Conference on Intelligent Computing and Remote Sensing …, 2019 | | 2019 |
CLASSIFICATION OF THE STRUCTURE OF CITIES THROUGH MID-RESOLUTION SATELLITE IMAGERY AND PATCH BASED NEURAL NETWORKS D Verma, A Jana, K Ramamritham ISPRS - International Archives of the Photogrammetry, Remote Sensing and …, 2018 | | 2018 |
HOW DIVERSE ARE THE NEIGHBOURHOODS? A DIVERSITY INDEX TO ASSESS LAND USE MIX THROUGH OPEN SOURCE AND ONLINE DATASETS D Verma, A Jana, K Ramamritham Regional Science Association International (RSAI), 2018 | | 2018 |