Tannistha Maiti

According to our database, Tannistha Maiti authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

VeerNet: Using Deep Neural Networks for Curve Classification and Digitization of Raster Well-Log Images.

M. Quamer Nasim, Narendra Patwardhan, Tannistha Maiti, Stefano Marrone, Tarry Singh

J. Imaging, 2023

A deep-learning approach to early identification of suggested sexual harassment from videos.

Shreya Shetye, Anwita Maiti, Tannistha Maiti, Tarry Singh

CoRR, 2023

Responsible and Reliable AI at PICUS Lab.

Narendra Patwardhan, Lidia Marassi, Michela Gravina, Antonio Galli, Monica Zuccarini, Tannistha Maiti, Tarry Singh, Stefano Marrone, Carlo Sansone

Proceedings of the Italia Intelligenza Artificiale, 2023

Digitizer: A Synthetic Dataset for Well-Log Analysis.

M. Quamer Nasim, Narendra Patwardhan, Javed Ali, Tannistha Maiti, Stefano Marrone, Tarry Singh, Carlo Sansone

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Designing Human-Centric Foundation Models.

Narendra Patwardhan, Shreya Shetye, Lidia Marassi, Monica Zuccarini, Tannistha Maiti, Tarry Singh

Proceedings of the First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U 2023) co-located with the 15th Biannual Conference of the Italian SIGCHI Chapter (CHItaly 2023), 2023

2022

Seismic Facies Analysis: A Deep Domain Adaptation Approach.

M. Quamer Nasim, Tannistha Maiti, Ayush Srivastava, Tarry Singh, Jie Mei

IEEE Trans. Geosci. Remote. Sens., 2022

Digitization of Raster Logs: A Deep Learning Approach.

M. Quamer Nasim, Narendra Patwardhan, Tannistha Maiti, Tarry Singh

CoRR, 2022

2020

Seismic Facies Analysis: A Deep Domain Adaptation Approach.

M. Quamer Nasim, Tannistha Maiti, Ayush Shrivastava, Tarry Singh, Jie Mei

CoRR, 2020