no code implementations • 20 Feb 2024 • Sankarshanaa Sagaram, Aditya Kasliwal, Krish Didwania, Laven Srivastava, Pallavi Kailas, Ujjwal Verma
The increasing adoption of solar energy necessitates advanced methodologies for monitoring and maintenance to ensure optimal performance of solar panel installations.
no code implementations • 30 Oct 2023 • Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gulsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hansch
We hope to contribute to an understanding that the nature of our data is what distinguishes the Earth observation community from many other communities that apply deep learning techniques to image data, and that a detailed understanding of EO data peculiarities is among the core competencies of our discipline.
no code implementations • 4 Oct 2022 • Sushant Lenka, Pratyush Kerhalkar, Pranav Shetty, Harsh Gupta, Bhavam Vidyarthi, Ujjwal Verma
This work proposes two approaches for identifying flooded regions in UAV aerial images.
no code implementations • 13 Aug 2022 • Ashutosh Holla B, Manohara Pai M. M, Ujjwal Verma, Radhika M. Pai
In this paper, a framework is developed to perform the re-identification of vehicles across CCTV cameras.
no code implementations • 29 Mar 2022 • Gokul P, Ujjwal Verma
This work envisages forest identification as a few-shot semantic segmentation task to achieve generalization across different geographical regions.
1 code implementation • 29 Mar 2022 • Girisha S, Ujjwal Verma, Manohara Pai M M, Radhika M Pai
A new UAV based multi-scene anomaly detection dataset is developed with frame-level annotations for the development of computer aided systems.
no code implementations • 8 Nov 2021 • Kumud Lakara, Akshat Bhandari, Pratinav Seth, Ujjwal Verma
The magnitude of a model's performance is proportional to this shift in the distribution of the dataset.
1 code implementation • NAACL (SMM4H) 2021 • Sidharth R, Abhiraj Tiwari, Parthivi Choubey, Saisha Kashyap, Sahil Khose, Kumud Lakara, Nishesh Singh, Ujjwal Verma
This paper describes our submissions for the Social Media Mining for Health (SMM4H)2021 shared tasks.
1 code implementation • 29 Nov 2020 • Girisha S, Ujjwal Verma, Manohara Pai M M, Radhika Pai
In this work, an enhanced encoder-decoder based CNN architecture (UVid-Net) is proposed for UAV video semantic segmentation.
Ranked #1 on Semantic Segmentation on ManipalUAVid
no code implementations • 4 Nov 2020 • Shantam Shorewala, Armaan Ashfaque, Sidharth R, Ujjwal Verma
Subsequently, the weed infected regions are identified using a fine-tuned CNN, eliminating the need for designing hand-crafted features.