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Ujjwal Verma
Ujjwal Verma
Manipal Institute of Technology, India
在 manipal.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Weed density and distribution estimation for precision agriculture using semi-supervised learning
S Shorewala, A Ashfaque, R Sidharth, U Verma
IEEE access 9, 27971-27986, 2021
672021
Uvid-net: Enhanced semantic segmentation of uav aerial videos by embedding temporal information
S Girisha, U Verma, MMM Pai, RM Pai
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
452021
Automatic segmentation of river and land in sar images: A deep learning approach
MMM Pai, V Mehrotra, S Aiyar, U Verma, RM Pai
2019 IEEE second international conference on artificial intelligence and …, 2019
442019
DeepRivWidth: Deep learning based semantic segmentation approach for river identification and width measurement in SAR images of Coastal Karnataka
U Verma, A Chauhan, MP MM, R Pai
Computers & Geosciences 154, 104805, 2021
422021
Performance analysis of semantic segmentation algorithms for finely annotated new uav aerial video dataset (manipaluavid)
S Girisha, MMM Pai, U Verma, RM Pai
IEEE Access 7, 136239-136253, 2019
372019
Improved semantic segmentation of water bodies and land in SAR images using generative adversarial networks
MMM Pai, V Mehrotra, U Verma, RM Pai
International Journal of Semantic Computing 14 (01), 55-69, 2020
362020
Semantic segmentation of UAV aerial videos using convolutional neural networks
S Girisha, MP MM, U Verma, RM Pai
2019 IEEE Second International Conference on Artificial Intelligence and …, 2019
332019
Thread integrated smart-phone imaging facilitates early turning point colorimetric assay for microbes
A Prabhu, G Nandagopal, PP Yegneswaran, V Prabhu, U Verma, ...
RSC advances 10 (45), 26853-26861, 2020
232020
Efficient vehicle counting by eliminating identical vehicles in uav aerial videos
A Holla, U Verma, RM Pai
2020 IEEE International Conference on Distributed Computing, VLSI …, 2020
182020
Computer vision based fish tracking and behaviour detection system
S Shreesha, MP MM, U Verma, RM Pai
2020 IEEE International Conference on Distributed Computing, VLSI …, 2020
172020
BERT based Transformers lead the way in Extraction of Health Information from Social Media
S Ramesh, A Tiwari, P Choubey, S Kashyap, S Khose, K Lakara, N Singh, ...
Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop …, 2021
152021
Shape-based segmentation of tomatoes for agriculture monitoring
UVFRIBJ Boisgontier
International Conference on Pattern Recognition Applications and Methods …, 2014
15*2014
There Are No Data Like More Data: Datasets for deep learning in Earth observation
M Schmitt, SA Ahmadi, Y Xu, G Taşkın, U Verma, F Sica, R Hänsch
IEEE Geoscience and Remote Sensing Magazine, 2023
142023
Segmentation and size estimation of tomatoes from sequences of paired images
U Verma, F Rossant, I Bloch
EURASIP Journal on Image and Video Processing 2015, 1-23, 2015
142015
Segmentation of tomatoes in open field images with shape and temporal constraints
U Verma, F Rossant, I Bloch, J Orensanz, D Boisgontier
Pattern Recognition Applications and Methods, 162-178, 2015
122015
Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions
G Puthumanaillam, U Verma
Neurocomputing 538, 126201, 2023
102023
Semantic segmentation of uav videos based on temporal smoothness in conditional random fields
S Girisha, U Verma, RM Pai
2020 IEEE International Conference on Distributed Computing, VLSI …, 2020
82020
Evaluating predictive uncertainty and robustness to distributional shift using real world data
K Lakara, A Bhandari, P Seth, U Verma
arXiv preprint arXiv:2111.04665, 2021
62021
Lstm-based prediction of water quality parameters system in backwaters
S Shreesha, MP MM, RM Pai, U Verma
2021 IEEE International Conference on Electronics, Computing and …, 2021
62021
Pattern detection and prediction using deep learning for intelligent decision support to identify fish behaviour in aquaculture
S Shreesha, MMM Pai, RM Pai, U Verma
Ecological Informatics 78, 102287, 2023
52023
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