I am a PhD candidate in Imaging Science at the Washington University in St. Louis, working in Multimodal Vision Research Laboratory led by Dr. Nathan Jacobs.

I have an MSc in Geoinformatics from The Faculty ITC, Geoinformation Science and Earth Observation in Enschede, The Netherlands. During my Masters, I was supervised by Dr. Mariana Belgiu and Dr. Raian Vargas Maretto, and worked on developing active learning methods in remote sensing.

Research

I am interested in Computer Vision for Remote Sensing and Earth Observation (CV4EO). My work involves fusing heterogeneous multimodal data for remote sensing applications involving species distribution modeling, change detection, and land cover mapping.

Publications

GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis
Sastry Srikumar, Khanal Subash, Dhakal Aayush, and Jacobs Nathan
CVPRW, 2024
arxiv / bibtex

Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
Dhakal Aayush, Ahmad Adeel, Khanal Subash, Sastry Srikumar, Hannah Kerner and Jacobs Nathan
CVPRW, 2024
arxiv / bibtex / code

GEOBIND: Binding Text, Image, and Audio through Satellite Images
Dhakal Aayush, Khanal Subash, Sastry Srikumar, Ahmad Adeel, and Jacobs Nathan
IGARSS, 2024
arxiv / bibtex

Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, and Nathan Jacobs
CVPRW, 2024
arxiv / bibtex / code

LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
Sastry Srikumar, Xin Xing, Dhakal Aayush, Khanal Subash, Ahmad Adeel, and Jacobs Nathan
Preprint, 2023
arxiv / bibtex

BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
Sastry Srikumar, Khanal Subash, Di Huang, Dhakal Aayush, and Jacobs Nathan
WACV, 2024
arxiv / bibtex / code

Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
Khanal Subash, Sastry Srikumar, Dhakal Aayush and Jacobs Nathan
BMVC, 2023
arxiv / supplementary / bibtex / code

Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning
Sastry Srikumar, Jacobs Nathan, Belgiu Mariana, Raian Vargas Maretto
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
Link / bibtex

brains-py, A framework to support research on energy-efficient unconventional hardware for machine learning
Unai Alegre-Ibarra, Hans-Christian Ruiz Euler, Humaid A Mollah, Bozhidar P Petrov, Srikumar Sastry, Marcus N Boon, Michel P de Jong, Mohamadreza Zolfagharinejad, Bram van de Ven, António J Sousa de Almeida, Sachin Kinge, Wilfred G van der Wiel
Journal of Open Source Software, 2023
Link / bibtex

Hyperspectral image classification using trilateral filter and deep learning
Srikumar Sastry, Vedant Gupta, Suman Mitra
IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), 2020
Link / bibtex

Evaluation of Tree Species Classification Methods using Multi-Temporal Satellite Images
Srikumar Sastry, Arnav Saha, Viral A Dave, Ranendu Ghosh
IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), 2020
Link / bibtex

Modeling the Dynamics of Carbon Dioxide Over an Educational Institute
Srikumar Sastry, Arnav Saha, Viral A Dave, Ranendu Ghosh
ICT Analysis and Applications, 2020
Link / bibtex