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Bharat Lohani
ORCID
Publication Activity (10 Years)
Years Active: 2012-2024
Publications (10 Years): 7
Top Topics
Deep Learning
Top Venues
CoRR
J. Sens. Actuator Networks
IEEE Geosci. Remote. Sens. Lett.
Remote. Sens.
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Publications
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Aditya
,
Bharat Lohani
,
Jagannath Aryal
,
Stephan Winter
Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation From MLS.
IEEE Trans. Geosci. Remote. Sens.
62 (2024)
Abhishek Kuriyal
,
Vaibhav Kumar
,
Bharat Lohani
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation.
SN Comput. Sci.
5 (3) (2024)
Vivek Anand
,
Bharat Lohani
,
Gaurav Pandey
,
Rakesh Mishra
Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation.
CoRR
(2024)
Moonis Ali
,
Bharat Lohani
,
Markus Hollaus
,
Norbert Pfeifer
Benchmarking Geometry-Based Leaf-Filtering Algorithms for Tree Volume Estimation Using Terrestrial LiDAR Scanners.
Remote. Sens.
16 (6) (2024)
Aditya
,
Bharat Lohani
,
Jagannath Aryal
,
Stephan Winter
Benchmarking Deep Learning Architectures for Urban Vegetation Points Segmentation.
CoRR
(2023)
Abhishek Kuriyal
,
Vaibhav Kumar
,
Bharat Lohani
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation.
CoRR
(2023)
Salil Goel
,
Allison Kealy
,
Bharat Lohani
Development and Experimental Evaluation of a Low-Cost Cooperative UAV Localization Network Prototype.
J. Sens. Actuator Networks
7 (4) (2018)
Suddhasheel Ghosh
,
Bharat Lohani
Development and comparison of aerial photograph aided visualization pipelines for LiDAR datasets.
Int. J. Digit. Earth
8 (8) (2015)
Salil Goel
,
Bharat Lohani
A Motion Correction Technique for Laser Scanning of Moving Objects.
IEEE Geosci. Remote. Sens. Lett.
11 (1) (2014)
Ajay Dashora
,
Bharat Lohani
,
Kalyanmoy Deb
Two-step procedure of optimisation for flight planning problem for airborne LiDAR data acquisition.
Int. J. Math. Model. Numer. Optimisation
4 (4) (2013)
Ajay Dashora
,
Bharat Lohani
Compatibility of Sun Position Models and 3-D Topographic Data for Prediction of Shadow Zones.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
5 (5) (2012)