Ishan Deshpande

According to our database, Ishan Deshpande authored at least 7 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Segmentation-Aware Latent Diffusion for Satellite Image Super-Resolution: Enabling Smallholder Farm Boundary Delineation.

Aditi Agarwal, Anjali Jain, Nikita Saxena, Ishan Deshpande, Michal Kazmierski, Abigail Annkah, Nadav Sherman, Karthikeyan Shanmugam, Alok Talekar, Vaibhav Rajan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Farm-Level, In-Season Crop Identification for India.

Ishan Deshpande, Amandeep Kaur Reehal, Chandan Nath, Renu Singh, Aayush Patel, Aishwarya Jayagopal, Gaurav Singh, Gaurav Aggarwal, Amit Agarwal, Prathmesh Bele, Sridhar Reddy, Tanya Warrier, Kinjal Singh, Ashish Tendulkar, Luis Pazos Outon, Nikita Saxena, Agata Dondzik, Dinesh Tewari, Shruti Garg, Avneet Singh, Harsh Dhand, Vaibhav Rajan, Alok Talekar

CoRR, July, 2025

2024

Agricultural Landscape Understanding At Country-Scale.

Radhika Dua, Nikita Saxena, Aditi Agarwal, Alex Wilson, Gaurav Singh, Hoang Tran, Ishan Deshpande, Amandeep Kaur, Gaurav Aggarwal, Chandan Nath, Arnab Basu, Vishal Batchu, Sharath Holla, Bindiya Kurle, Olana Missura, Rahul Aggarwal, Shubhika Garg, Nishi Shah, Avneet Singh, Dinesh Tewari, Agata Dondzik, Bharat Adsul, Milind A. Sohoni, Asim Rama Praveen, Aaryan Dangi, Lisan Kadivar, E. Abhishek, Niranjan Sudhansu, Kamlakar Hattekar, Sameer Datar, Musty Krishna Chaithanya, Anumas Ranjith Reddy, Aashish Kumar, Betala Laxmi Tirumala, Alok Talekar

CoRR, 2024

2023

Fast exploration and learning of latent graphs with aliased observations.

Miguel Lázaro-Gredilla, Ishan Deshpande, Sivaramakrishnan Swaminathan, Meet Dave, Dileep George

CoRR, 2023

Graph schemas as abstractions for transfer learning, inference, and planning.

J. Swaroop Guntupalli, Rajkumar Vasudeva Raju, Shrinu Kushagra, Carter Wendelken, Danny Sawyer, Ishan Deshpande, Guangyao Zhou, Miguel Lázaro-Gredilla, Dileep George

CoRR, 2023

2019

Max-Sliced Wasserstein Distance and Its Use for GANs.

Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Generative Modeling Using the Sliced Wasserstein Distance.

Ishan Deshpande, Ziyu Zhang, Alexander G. Schwing

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018