Ujjwal Verma

Orcid: 0000-0001-8160-5017

According to our database1, Ujjwal Verma authored at least 33 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SolarPanel Segmentation : Self-Supervised Learning for Imperfect Datasets.
CoRR, 2024

2023
Pattern detection and prediction using deep learning for intelligent decision support to identify fish behaviour in aquaculture.
Ecol. Informatics, December, 2023

Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions.
Neurocomputing, June, 2023

There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation.
CoRR, 2023

Fish Tracking and Continual Behavioral Pattern Clustering Using Novel Sillago Sihama Vid (SSVid).
IEEE Access, 2023

Enhanced Vehicle Re-Identification for Smart City Applications Using Zone Specific Surveillance.
IEEE Access, 2023

Improved Semantic Segmentation for Identification of Flooded Regions in UAV Aerial Images: A Transformer-Based Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go?
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images.
CoRR, 2022

Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach using Deep Learning.
CoRR, 2022

Texture based Prototypical Network for Few-Shot Semantic Segmentation of Forest Cover: Generalizing for Different Geographical Regions.
CoRR, 2022

Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videos.
CoRR, 2022

Comparison of Texture Classifiers with Deep Learning Methods for Flooded Region Identification in UAV Aerial Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Recent Trends and Challenges in Analysis of UAV Aerial Images for Post-Disaster Scene Understanding.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Texture Aware Unsupervised Segmentation for Assessment of Flood Severity in UAV Aerial Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

DeepRivWidth : Deep learning based semantic segmentation approach for river identification and width measurement in SAR images of Coastal Karnataka.
Comput. Geosci., 2021

Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data.
CoRR, 2021

BERT based Transformers lead the way in Extraction of Health Information from Social Media.
CoRR, 2021

Weed Density and Distribution Estimation for Precision Agriculture Using Semi-Supervised Learning.
IEEE Access, 2021

Enhancement of PSNR based Anomaly Detection in Surveillance Videos using Penalty Modules.
Proceedings of the IEEE Region 10 Conference, 2021

Behavioural Pattern Analysis of Fishes for Smart Aquaculture: An Object Centric Approach.
Proceedings of the IEEE Region 10 Conference, 2021

Flood Magnitude Assessment from UAV Aerial Videos Based on Image Segmentation and Similarity.
Proceedings of the IEEE Region 10 Conference, 2021

Anomaly Detection Using Classification CNN Models: A Video Analytic Approach.
Proceedings of the IEEE Region 10 Conference, 2021

Vehicle Re-identification in Smart City Transportation using Hybrid Surveillance Systems.
Proceedings of the IEEE Region 10 Conference, 2021

2020
Improved Semantic Segmentation of Water Bodies and Land in SAR Images Using Generative Adversarial Networks.
Int. J. Semantic Comput., 2020

2019
Performance Analysis of Semantic Segmentation Algorithms for Finely Annotated New UAV Aerial Video Dataset (ManipalUAVid).
IEEE Access, 2019

Semantic Segmentation of UAV Aerial Videos using Convolutional Neural Networks.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019

Automatic Segmentation of River and Land in SAR Images: A Deep Learning Approach.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019

2018
Modeling And Simulation Of Bioheat Powered Subcutaneous Thermoelectric Generator.
Proceedings of the European Conference on Modelling and Simulation, 2018

2015
Segmentation and size estimation of tomatoes from sequences of paired images.
EURASIP J. Image Video Process., 2015

2014
Segmentation of Tomatoes in Open Field Images with Shape and Temporal Constraints.
Proceedings of the Pattern Recognition Applications and Methods, 2014

Shape-based Segmentation of Tomatoes for Agriculture Monitoring.
Proceedings of the ICPRAM 2014, 2014


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