Data
Dabra, Ayush; Upadhyay, Vaibhav (2023), “Manually Annotated High Resolution Satellite Image Dataset of Mumbai for Semantic Segmentation”, Mendeley Data, V1, doi: 10.17632/xj2v49zt26.1
Gupta, Rishi; Nihal, Anurag; Upadhyay, Vaibhav (2023), “Multi label Audiotory Dataset from Diverse Indian Urban Environments”, Mendeley Data, V1, doi: 10.17632/4553jk9dvz.1
Print Media
https://www.hindustantimes.com/mumbai-news/only-29-of-south-mumbai-fires-get-help-in- time-iit-b-study/story-HhMEeb6Vjuqn3bOLHTXbsI.html
https://www.indiaspend.com/499-mumbai-buildings-on-same-high-risk-list-as-one-that-collapsed-trapping-scores/
Journal/Preprints
Lal, P., Bais, A., & Kumar, V. (2026). Performance analysis of subsampled LiDAR point clouds using deep learning based semantic segmentation. Applied Intelligence. https://doi.org/10.1007/s10489-026-07282-2
Pratap, B., & Kumar, V. (2026). CVPC: Cross-Modal Visual-Guided Point Cloud Completion. IEEE Robotics and Automation Letters. https://doi.org/10.1109/LRA.2026.3683588
Kumar, V., et al. (2026). Ke-MLS: A knowledge-enhanced mobile laser scanning dataset for urban scene understanding. Environment and Planning B: Urban Analytics. https://doi.org/10.1177/23998083261430812
Anand, V., Lohani, B., Mishra, R., Kumar, V., & Pandey, G. (2026). Toward closing the sim-to-real gap for autonomous vehicles: A physics-guided learning approach for LiDAR intensity simulation. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2026.3681982
Uppur, S. G., Kumar, H., & Kumar, V. (2025). Range-Edit: Semantic mask guided outdoor LiDAR scene editing. arXiv preprint. https://arxiv.org/abs/2511.17269
Paregi, B. P., & Kumar, V. (2025). RL-AD-Net: Reinforcement learning guided adaptive displacement in latent space for refined point cloud completion. arXiv preprint. https://arxiv.org/abs/2511.17054
Chauhan, P. L., Baswal, T. K., & Kumar, V. (2025). A data-driven framework for pedestrian-oriented route planning leveraging deep learning and spatial perception. International Journal of Applied Earth Observation and Geoinformation, 144, 104932. https://doi.org/10.1016/j.jag.2025.104932
Verma, S., & Kumar, V. (2025). Point-pad: Point cloud upsampling with kernel representation and attention. Pattern Analysis and Applications, 28, 180. https://doi.org/10.1007/s10044-025-01558-y
Nihal, A., Lal, P., & Kumar, V. (2025). Urban multi-domain mixing (UMDMix)-based unsupervised domain adaptation for LiDAR semantic segmentation. Neurocomputing, 131526. https://doi.org/10.1016/j.neucom.2025.131526
Dabra, A., Chauhan, P. L., & Kumar, V. (2025). Deep learning and multi-source 2D and 3D geospatial data for urban quality of life assessment. International Journal of Applied Earth Observation and Geoinformation, 144, 104838. https://doi.org/10.1016/j.jag.2025.104838
Dabra, A., Kumar, V., & Aryal, J. (2025). Road extraction in diverse urban environments using UAV data and nDSM perturbations: A case of Bhopal, India. Remote Sensing Applications: Society and Environment, 37, 101465. https://doi.org/10.1016/j.rsase.2025.101465
Ramalingam, S. P., & Kumar, V. (2025). Building usage prediction in complex urban scenes by fusing text and facade features from street view images using deep learning. Building and Environment. https://doi.org/10.1016/j.buildenv.2024.112174
Bhardwaj, R., Bhargava, A., & Kumar, V. (2024). INFED: Enhancing fire evacuation dynamics through a 3D congestion-aware indoor navigation framework. Simulation Modelling Practice and Theory, 136, 103010. https://doi.org/10.1016/j.simpat.2024.103010
Lohani, B., Khan, P., & Kumar, V. (2024). Role of simulated LiDAR data for training 3D deep learning models: An exhaustive analysis. Journal of the Indian Society of Remote Sensing. https://doi.org/10.1007/s12524-024-01905-2
Kumar, V., Nandy, A., Soni, V., et al. (2024). Powerline extraction from aerial and mobile LiDAR data using deep learning. Earth Science Informatics. https://doi.org/10.1007/s12145-024-01310-w
Kuriyal, A., Kumar, V., & Lohani, B. (2024). pCTFusion: Point convolution-transformer fusion with semantic-aware loss for outdoor LiDAR point cloud segmentation. SN Computer Science, 5, 272. https://doi.org/10.1007/s42979-024-02627-5
Singh, V. K., & Kumar, V. (2023). Enhancing emergency vehicle access in dense settlements of Mumbai using high-resolution satellite imagery: A deep learning approach. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2023.104212
Nihal, A., & Kumar, V. (2023). Generation of dense urban features using conditional GAN. Preprint. https://doi.org/10.21203/rs.3.rs-2885573/v1
Ramalingam, S. P., & Kumar, V. (2023). Automatizing the generation of building usage maps from geotagged street view images using deep learning. Building and Environment. https://doi.org/10.1016/j.buildenv.2023.110215
Priyadarshi, M., Maratha, M., Anish, M., & Kumar, V. (2023). Dynamic routing for efficient waste collection in resource-constrained societies. Scientific Reports, 13, 2365. https://doi.org/10.1038/s41598-023-29593-x
Dabra, A., & Kumar, V. (2023). Evaluating green cover and open spaces in informal settlements of Mumbai using deep learning. Neural Computing and Applications. https://doi.org/10.1007/s00521-023-08320-7
Kumar, V. (2022). Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model. Scientific Reports, 12, 1849. https://doi.org/10.1038/s41598-022-05974-6
Kumar, V., Singh, V. K., Gupta, K., et al. (2021). Integrating cellular automata and agent-based modeling for predicting urban growth: A case of Dehradun City. Journal of the Indian Society of Remote Sensing. https://doi.org/10.1007/s12524-021-01418-2
Bera, S., Upadhyay, V. K., Guru, B., et al. (2021). Landslide inventory and susceptibility models considering landslide typology using deep learning: Himalayas, India. Natural Hazards. https://doi.org/10.1007/s11069-021-04731-8
Kumar, D., Singh, A., Kumar, V., & Singh, B. (2021). COVID-19 driven changes in air quality: A study of major cities in Uttar Pradesh, India. Environmental Pollution, 274, 116512. https://doi.org/10.1016/j.envpol.2021.116512
Kumar, V., Kaushal, R. K., Taloor, A., & Jain, V. (2021). Incorporation of slope and rainfall variability in channel network extraction from DEM data at basin scale. Geocarto International. https://doi.org/10.1080/10106049.2021.1886340
Kumar, V., Jana, A., & Ramamritham, K. (2020). A decision framework to assess urban fire vulnerability in cities of developing nations: Empirical evidence from Mumbai. Geocarto International. https://doi.org/10.1080/10106049.2020.1723718
Kumar, V., Jana, A., & Ramamritham, K. (2020). Simulating fire-safe cities using a machine learning-based algorithm for complex urban forms of developing nations: A case of Mumbai, India. Geocarto International. https://doi.org/10.1080/10106049.2020.1756463
Kumar, V., Bandopadhyay, S., Jana, A., & Ramamritham, K. (2020). Optimizing redevelopment cost to minimize fire susceptibility in heterogeneous urban settings: A case from Mumbai, India. Process Integration and Optimization for Sustainability, 4, 361–378. https://doi.org/10.1007/s41660-020-00124-9
Kumar, V., Bandopadhyay, S., Jana, A., & Ramamritham, K. (2020). Pinch analysis to reduce fire susceptibility by redeveloping urban built forms. Clean Technologies and Environmental Policy, 22(7), 1531–1546. https://doi.org/10.1007/s10098-020-01895-y
Kumar, V., Ramamritham, K., & Jana, A. (2020). Effective handling of emergencies in resource-constrained urban areas by considering dynamics: A performance analysis. Transportation Research Procedia, 48, 345–362. https://doi.org/10.1016/j.trpro.2020.08.030
Singh, A. K., Jasrotia, A. S., Taloor, A. K., Kotlia, B. S., Kumar, V., Roy, S., et al. (2017). Estimation of quantitative measures of total water storage variation from GRACE and GLDAS-NOAH satellites using geospatial technology. Quaternary International, 444(A), 191–200. https://doi.org/10.1016/j.quaint.2017.04.014
Taloor, A. K., Kumar, P., Ray, C., Singh, J. A., Singh, B. K., Alame, A., et al. (2017). Active tectonic deformation along reactivated faults in Binta Basin, Kumaun Himalaya, north India: Inferences from tectono-geomorphic evaluation. Zeitschrift für Geomorphologie, 61(2), 159–180. https://doi.org/10.1127/zfg/2017/0417
Jana, A., Bardhan, R., Sarkar, S., & Kumar, V. (2016). Framework to assess and locate affordable and accessible housing for developing nations: Empirical evidence from Mumbai. Habitat International, 57, 88–99. https://doi.org/10.1016/j.habitatint.2016.07.005
Karnatak, H., & Kumar, V. (2014). Performance study of various spatial indexes on 3D geodata in GeoRDBMS for single-user environments. Geocarto International, 30(6), 633–649. https://doi.org/10.1080/10106049.2014.952354
Conference Proceedings
Hemant, S. Chopra and V. Kumar, "Vid2Pos: Gaussian Splatting Approach for Localization in Outdoor Environments Using Lidar Point Clouds," IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 6311-6315, doi: 10.1109/IGARSS55030.2025.11242592.
Srivastava, S. & Kumar, V*. (2025) Lid-Lab-NeRF: Generating Temporally Consistent, Labelled LiDAR Point Clouds using Neural Radiance Fields. In: 36th British Machine Vision Conference (BMVC 2025), Sheffield, UK, 24–27 November. BMVA. https://bmva-archive.org.uk/bmvc/2025/assets/papers/Paper_999/paper.pdf
Nihal, A., & *Kumar, V. (2025). Generation of dense urban features using conditional GANs. In Proceedings of the International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-88217-3_28.
Limba, M., & *Kumar, V. (2025). Deep learning-based building footprint extraction from UAV images using fused spectral and elevation information. In Proceedings of the International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-88217-3_27.
Naval, A., *Kumar, V., & Gaurav, K. (2023). Quantifying vertical farming potential using digital twins. In M. Tuba, S. Akashe, & A. Joshi (Eds.), ICT Systems and Sustainability. ICT4SD 2023. Lecture Notes in Networks and Systems, vol 765. Springer, Singapore. https://doi.org/10.1007/978-981-99-5652-4_38
*Kumar, V., & Singh, V. (2023). Classification of minor roads inside dense informal settlements of Mumbai using machine learning. In ICT Infrastructure and Computing. ICT4SD 2023. Lecture Notes in Networks and Systems, vol. 754. Springer, Singapore. https://doi.org/10.1007/978-981-99-4932-8_30
R. Gupta, & Kumar, V. Sound Classification in Indian Cities Using Multi-Label Data and Transfer Learning. ICLR 2024. https://openreview.net/pdf?id=UWszefaphF.
Ramalingam, S.P., Kumar, V., & Kumar, V. Building Usage Classification via Interpretation of Visually Grounded Scene Texts using LLMs. IndoML, 2023, IIT Bombay. (Poster). http://dx.doi.org/10.13140/RG.2.2.12884.37760
Nihal, A., & Kumar, V. Semantic Sample Mixing Based Unsupervised Domain Adaptation for Semantic Segmentation of 3D LiDAR Point Clouds. IndoML, 2023, IIT Bombay. (Poster). http://dx.doi.org/10.13140/RG.2.2.12674.66248
Mayank, M., & Kumar, V. 3D Point Cloud Semantic Segmentation of Indoor Scenes using Few-shot Learning. IndoML, 2023, IIT Bombay. (Poster). http://dx.doi.org/10.13140/RG.2.2.16737.89447
Naval, A., Kumar, V., & Gaurav, K. (2023). Quantifying Vertical Farming Potential Using Digital Twins. In M. Tuba, S. Akashe, & A. Joshi (Eds.), ICT Systems and Sustainability. ICT4SD 2023. Lecture Notes in Networks and Systems, vol. 765. Springer, Singapore. https://doi.org/10.1007/978-981-99-5652-4_38.
Kumar, V., & Singh, V. (2023). Classification of Minor Roads Inside Dense Informal Settlements of Mumbai using Machine Learning. In ICT Infrastructure and Computing. ICT4SD 2023. Lecture Notes in Networks and Systems, vol. 754. Springer, Singapore. https://doi.org/10.1007/978-981-99-4932-8_30.
Kuriyal, A., & Kumar, V. (2023). PGS-CAM: Interpretable LiDAR Point Cloud Semantic Segmentation via Gradient Based Localization. ICLR. https://openreview.net/pdf?id=8kX0btdpAU5.
Panda, A., Kumar, V., & Basu, T. (2023). An Ensemble Learning Framework for Visibility Prediction in Indo-Gangetic Region. ICLR. https://openreview.net/pdf?id=WkDqZD3VRo.
Bhadani, V., Singh, A., & Kumar, V. Machine Learning Models to Predict Groundwater Level in a Semi-Arid River Catchment, Central India. EGU General Assembly (2023), Vienna, Austria, 24–28 Apr 2023, EGU23-12629. https://doi.org/10.5194/egusphere-egu23-12629.
Singh, V.K., Kumar, V., & Jana, A. (2021). Spatial Distribution of Socioeconomic Factors and Its Impact on Urban Land Use Dynamics: An Agent Based Modeling Approach. Urban Science and Engineering, Lecture Notes in Civil Engineering, vol. 121. Springer, Singapore, pp. 27-38. https://doi.org/10.1007/978-981-33-4114-2_3.
Kumar, V., Sarkar, A., & Jana, A. (2021). Big Data and WebGIS for Formulating Health Care Policy in India. 2021 IEEE Conference on Norbert Wiener in the 21st Century (21CW), 2021, pp. 1-6. https://doi.org/10.1109/21CW48944.2021.9532567.
Kumar, V., Sarkar, A., & Jana, A. (2020). Application of Twitter and Print Media Data on Rural Health Care Policy Development in India. 2nd International Conference on "Rural Technology Development and Delivery,” IIT Madras. (Oral).
Kumar, V., Ramamritham, K., & Jana, A. (2019). Resource Allocation for Handling Emergencies in Resource Constraint Urban Areas: Firefighting in Mumbai. ICTD '19 ACM Proceedings of the Tenth International Conference on Information and Communication Technologies and Development, Ahmedabad. https://doi.org/10.1145/3287098.3287099.
Kumar, V., Ramamritham, K., & Jana, A. (2019). Effective Handling of Emergencies in Resource Constrained Urban Areas by Considering Dynamics: A Performance Analysis. 15th World Conference on Transport Research, 26-31 May 2019, Mumbai, India. (Oral).
Kumar, V., Singh, V., & Jana, A. (2020). Accuracy Comparison of Supervised and Unsupervised Machine Learning Techniques for UAV Datasets. 1st International Conference of Urban Science and Engineering, Mumbai, India, 28-29 February 2020. (Poster).
Kumar, V., Ray, S.K., Ramamritham, K., & Jana, A. (2019). An ICT-Based System to Test the Firefighting Efficiency: A Case of Mumbai. World Congress on Disaster Management (WCDM), Mumbai. (Oral Presentation).
Kumar, V., Jana, A., & Ramamritham, K. (2018). Fire Vulnerability and Urban Space Planning: An Approach for Rapidly Urbanising Indian Cities. Urban Transitions, Barcelona, Spain. (Poster).
Jain, V., Kaushal, R.K., & Kumar, V. (2018). Incorporation of Slope and Rainfall Variability in Channel Network Extraction from Digital Elevation Model. AGU Fall Meeting. (Poster).
Jain, V., Kaushal, R.K., & Kumar, V. (2015). Incorporation of Slope Variability in Channel Network Extraction from DEM. 30th Himalayan-Karakora-Tibet (HKT) Workshop at Wadia Institute of Himalayan Geology, Dehradun. (Poster).
Book Chapters
Dhakar, P., & Kumar, V. (2024). Bridging the Gap: Evaluating the Generalizability of Simulated Data for Urban Feature Classification Using Deep Learning. In Calibrating Urban Livability in the Global South (pp. 452–464). https://doi.org/10.9734/bpi/mono/978-81-971889-1-6/CH33.
Chachondhia, P., Sarkar, S., & Kumar, V. (2024). Quantifying Wetland Loss in Bhopal Amidst Urban Sprawl: A Machine Learning Approach Using Multispectral Imagery. In Calibrating Urban Livability in the Global South (pp. 510–520). https://doi.org/10.9734/bpi/mono/978-81-971889-1-6/CH38.
Kumar, V., Rai, S.K., Jana, A., & Ramamritham, K. (2021). An Information and Communication Technology (ICT) Driven Disaster Management System: A Case of Firefighting in Mumbai. In Geospatial Technology and Smart Cities (pp. 315-335). Springer. https://doi.org/10.1007/978-3-030-71945-6_18.
Sarkar, A., Kumar, V., Jasrotia, A.S., Taloor, A.K., Kumar, R., Sharma, R., Khajuria, V., Raina, G., & Kouser, B. (2020). Spatial Analysis and Mapping of Malaria Risk in Dehradun City, India: A Geospatial Technology Based Decision Making Tool for Planning and Management. In Geoecology of Landscape Dynamics. Springer. https://doi.org/10.1007/978-981-15-2097-6_14.
Taloor, A.K., Kumar, V., Singh, V.K., Singh, A.K., Kale, R.V., Sharma, R., Khajuria, V., Raina, G., Kouser, B., & Chowdhary, N.H. (2020). Land Use Land Cover Dynamics Using Remote Sensing and GIS Techniques in Western Doon Valley, Uttarakhand, India. In Geology of Landscape Dynamics. Springer. https://doi.org/10.1007/978-981-15-2097-6_4.
Kumar, V., & Jana, A. (2021). Coverage or Response Time: A Performance Study of Fire Station Location Models Using Network Analysis. In Advances in Urban Planning in Developing Nations (pp. 82–99). Routledge India. https://doi.org/10.4324/9781003091370-4.
