Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Deep learning based landslide density estimation on SAR data for rapid response


Nov 18, 2022
Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan

Add code

* 7 pages, 5 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

SAR-based landslide classification pretraining leads to better segmentation


Nov 17, 2022
Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan

Add code

* Accepted to the NeurIPS 2022 workshop Artificial Intelligence for Humanitarian Assistance and Disaster Response. This research was conducted as part of the Frontier Development Lab (FDL) 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes


Nov 05, 2022
Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan

Add code

* Accepted in the NeurIPS 2022 workshop on Tackling Climate Change with Machine Learning. Authors Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas contributed equally as researchers for the Frontier Development Lab (FDL) 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing


May 10, 2022
Jonathan Francis, Bingqing Chen, Siddha Ganju, Sidharth Kathpal, Jyotish Poonganam, Ayush Shivani, Vrushank Vyas, Sahika Genc, Ivan Zhukov, Max Kumskoy, Anirudh Koul, Jean Oh, Eric Nyberg

Add code

* 20 pages, 4 figures, 2 tables 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning


Jan 20, 2022
Suhas Kotha, Anirudh Koul, Siddha Ganju, Meher Kasam

Add code

* COSPAR 2021 Cross-Disciplinary Workshop on Machine Learning for Space Sciences, Sydney, Australia 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning


Aug 19, 2021
Sayak Paul, Siddha Ganju

Add code

* Equal authorship. This is a work is a submission to the Emerging Techniques in Computational Intelligence (ETCI) competition on Flood Detection. Code and models are available on GitHub 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Scalable Reverse Image Search Engine for NASAWorldview


Aug 10, 2021
Abhigya Sodani, Michael Levy, Anirudh Koul, Meher Anand Kasam, Siddha Ganju

Add code

* 7 pages, Published at COSPAR 2021, 6 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Scalable Data Balancing for Unlabeled Satellite Imagery


Jul 07, 2021
Deep Patel, Erin Gao, Anirudh Koul, Siddha Ganju, Meher Anand Kasam

Add code

* Accepted to COSPAR 2021 Workshop on Machine Learning for Space Sciences. 5 pages, 9 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>