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Ujjwal Verma
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2020 – today
- 2024
- [j12]B. Ashutosh Holla, Manohara Pai M. M., Ujjwal Verma, Radhika M. Pai:
MSFFT: Multi-Scale Feature Fusion Transformer for cross platform vehicle re-identification. Neurocomputing 582: 127514 (2024) - [j11]Ujjwal Verma, Dalton D. Lunga, Ronny Hänsch, Claudio Persello, Silvia Liberata Ullo:
Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals. IEEE Geosci. Remote. Sens. Lett. 21: 1-4 (2024) - [c18]Sankarshanaa Sagaram, Laven Srivastava, Krish Didwania, Aditya Kasliwal, Pallavi Kailas, Ujjwal Verma:
Solar Panel Segmentation: Self-Supervised Learning Solutions for Imperfect Datasets. Tiny Papers @ ICLR 2024 - [c17]Ujjwal Verma, Dalton D. Lunga, Abhishek Potnis:
Towards Interpretable Machine Learning Metrics For Earth Observation Image Analysis. IGARSS 2024: 4066-4068 - [i10]Sankarshanaa Sagaram, Aditya Kasliwal, Krish Didwania, Laven Srivastava, Pallavi Kailas, Ujjwal Verma:
SolarPanel Segmentation : Self-Supervised Learning for Imperfect Datasets. CoRR abs/2402.12843 (2024) - 2023
- [j10]B. Ashutosh Holla, M. M. Manohara Pai, Ujjwal Verma, Radhika M. Pai:
Enhanced Vehicle Re-Identification for Smart City Applications Using Zone Specific Surveillance. IEEE Access 11: 29234-29249 (2023) - [j9]Shreesha Surathkal, M. M. Manohara Pai, Ujjwal Verma, Radhika M. Pai:
Fish Tracking and Continual Behavioral Pattern Clustering Using Novel Sillago Sihama Vid (SSVid). IEEE Access 11: 29400-29416 (2023) - [j8]Shreesha Surathkal, Manohara M. M. Pai, Radhika M. Pai, Ujjwal Verma:
Pattern detection and prediction using deep learning for intelligent decision support to identify fish behaviour in aquaculture. Ecol. Informatics 78: 102287 (2023) - [j7]Gokul Puthumanaillam, Ujjwal Verma:
Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions. Neurocomputing 538: 126201 (2023) - [c16]Dalton D. Lunga, Ronny Hänsch, Ujjwal Verma, Fabio Pacifici, George Percivall, Silvia Liberata Ullo:
ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go? IGARSS 2023: 1122-1125 - [c15]Ujjwal Verma, Gokul Puthumanaillam:
Improved Semantic Segmentation for Identification of Flooded Regions in UAV Aerial Images: A Transformer-Based Approach. IGARSS 2023: 4800-4803 - [i9]Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gülsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hänsch:
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation. CoRR abs/2310.19231 (2023) - 2022
- [c14]Ujjwal Verma:
Recent Trends and Challenges in Analysis of UAV Aerial Images for Post-Disaster Scene Understanding. IGARSS 2022: 4647-4649 - [c13]Sushant Lenka, Bhavam Vidyarthi, Neil Sequeira, Ujjwal Verma:
Texture Aware Unsupervised Segmentation for Assessment of Flood Severity in UAV Aerial Images. IGARSS 2022: 7815-7818 - [c12]Ujjwal Verma, Arsh Tangri:
Comparison of Texture Classifiers with Deep Learning Methods for Flooded Region Identification in UAV Aerial Images. IGARSS 2022: 7819-7822 - [i8]Girisha S, Ujjwal Verma, M. M. Manohara Pai, Radhika M. Pai:
Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videos. CoRR abs/2203.15437 (2022) - [i7]Gokul P, Ujjwal Verma:
Texture based Prototypical Network for Few-Shot Semantic Segmentation of Forest Cover: Generalizing for Different Geographical Regions. CoRR abs/2203.15687 (2022) - [i6]B. Ashutosh Holla, M. M. Manohara Pai, Ujjwal Verma, Radhika M. Pai:
Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach using Deep Learning. CoRR abs/2208.06579 (2022) - [i5]Sushant Lenka, Pratyush Kerhalkar, Pranav Shetty, Harsh Gupta, Bhavam Vidyarthi, Ujjwal Verma:
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images. CoRR abs/2210.01588 (2022) - 2021
- [j6]Shantam Shorewala, Armaan Ashfaque, Sidharth R, Ujjwal Verma:
Weed Density and Distribution Estimation for Precision Agriculture Using Semi-Supervised Learning. IEEE Access 9: 27971-27986 (2021) - [j5]Ujjwal Verma, Arjun Chauhan, M. M. Manohara Pai, Radhika M. Pai:
DeepRivWidth : Deep learning based semantic segmentation approach for river identification and width measurement in SAR images of Coastal Karnataka. Comput. Geosci. 154: 104805 (2021) - [j4]Girisha S, Ujjwal Verma, M. M. Manohara Pai, Radhika M. Pai:
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4115-4127 (2021) - [c11]Sidharth R, Abhiraj Tiwari, Parthivi Choubey, Saisha Kashyap, Sahil Khose, Kumud Lakara, Nishesh Singh, Ujjwal Verma:
BERT based Transformers lead the way in Extraction of Health Information from Social Media. SMM4H@NAACL-HLT 2021: 33-38 - [c10]B. Ashutosh Holla, M. M. Manohara Pai, Ujjwal Verma, Radhika M. Pai:
Vehicle Re-identification in Smart City Transportation using Hybrid Surveillance Systems. TENCON 2021: 335-340 - [c9]Ananya Sharma, Ujjwal Verma:
Flood Magnitude Assessment from UAV Aerial Videos Based on Image Segmentation and Similarity. TENCON 2021: 476-481 - [c8]Bhavam Vidyarthi, Neil Sequeira, Sushant Lenka, Ujjwal Verma:
Enhancement of PSNR based Anomaly Detection in Surveillance Videos using Penalty Modules. TENCON 2021: 805-810 - [c7]Shreesha Surathkal, Manohara Pai M. M., Ujjwal Verma, Radhika M. Pai, Girisha S:
Behavioural Pattern Analysis of Fishes for Smart Aquaculture: An Object Centric Approach. TENCON 2021: 917-922 - [c6]Girisha S, M. M. Manohara Pai, Ujjwal Verma, Radhika M. Pai, Shreesha Surathkal:
Anomaly Detection Using Classification CNN Models: A Video Analytic Approach. TENCON 2021: 923-928 - [i4]Sidharth R, Abhiraj Tiwari, Parthivi Choubey, Saisha Kashyap, Sahil Khose, Kumud Lakara, Nishesh Singh, Ujjwal Verma:
BERT based Transformers lead the way in Extraction of Health Information from Social Media. CoRR abs/2104.07367 (2021) - [i3]Kumud Lakara, Akshat Bhandari, Pratinav Seth, Ujjwal Verma:
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data. CoRR abs/2111.04665 (2021) - 2020
- [j3]M. M. Manohara Pai, Vaibhav Mehrotra, Ujjwal Verma, Radhika M. Pai:
Improved Semantic Segmentation of Water Bodies and Land in SAR Images Using Generative Adversarial Networks. Int. J. Semantic Comput. 14(1): 55-69 (2020) - [i2]Shantam Shorewala, Armaan Ashfaque, Sidharth R, Ujjwal Verma:
Weed Density and Distribution Estimation for Precision Agriculture using Semi-Supervised Learning. CoRR abs/2011.02193 (2020) - [i1]Girisha S, Ujjwal Verma, M. M. Manohara Pai, Radhika M. Pai:
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information. CoRR abs/2011.14284 (2020)
2010 – 2019
- 2019
- [j2]Girisha S, M. M. Manohara Pai, Ujjwal Verma, Radhika M. Pai:
Performance Analysis of Semantic Segmentation Algorithms for Finely Annotated New UAV Aerial Video Dataset (ManipalUAVid). IEEE Access 7: 136239-136253 (2019) - [c5]M. M. Manohara Pai, Vaibhav Mehrotra, Shreyas Aiyar, Ujjwal Verma, Radhika M. Pai:
Automatic Segmentation of River and Land in SAR Images: A Deep Learning Approach. AIKE 2019: 15-20 - [c4]Girisha S, M. M. Manohara Pai, Ujjwal Verma, Radhika M. Pai:
Semantic Segmentation of UAV Aerial Videos using Convolutional Neural Networks. AIKE 2019: 21-27 - 2018
- [c3]Ujjwal Verma, Jakob Bernhardt, Dennis Hohlfeld:
Modeling And Simulation Of Bioheat Powered Subcutaneous Thermoelectric Generator. ECMS 2018: 381-385 - 2015
- [j1]Ujjwal Verma, Florence Rossant, Isabelle Bloch:
Segmentation and size estimation of tomatoes from sequences of paired images. EURASIP J. Image Video Process. 2015: 33 (2015) - 2014
- [c2]Ujjwal Verma, Florence Rossant, Isabelle Bloch, Julien Orensanz, Denis Boisgontier:
Segmentation of Tomatoes in Open Field Images with Shape and Temporal Constraints. ICPRAM (Selected Papers) 2014: 162-178 - [c1]Ujjwal Verma, Florence Rossant, Isabelle Bloch, Julien Orensanz, Denis Boisgontier:
Shape-based Segmentation of Tomatoes for Agriculture Monitoring. ICPRAM 2014: 402-411
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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