Subash Khanal

According to our database, Subash Khanal authored at least 26 papers between 2021 and 2026.

Collaborative distances:

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

2026

The first global agricultural field boundary map at 10m resolution.

Caleb Robinson, Gedeon Muhawenayo, Subash Khanal, Zhanpei Fang, Isaac Corley, Ana María Tárano, Lyndon D. Estes, Jennifer Marcus, Nathan Jacobs, Hannah Kerner, Inbal Becker-Reshef, Juan M. Lavista Ferres

CoRR, May, 2026

PRUE: A Practical Recipe for Field Boundary Segmentation at Scale.

Gedeon Muhawenayo, Caleb Robinson, Subash Khanal, Zhanpei Fang, Isaac Corley, Alexander Wollam, Tianyi Gao, Leonard Strnad, Ryan B. Avery, Lyndon D. Estes, Ana María Tárano, Nathan Jacobs, Hannah Kerner

CoRR, March, 2026

GeoDiT: Point-Conditioned Diffusion Transformer for Satellite Image Synthesis.

Srikumar Sastry, Dan Cher, Brian Wei, Aayush Dhakal, Subash Khanal, Dev Gupta, Nathan Jacobs

CoRR, March, 2026

SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images.

Aayush Dhakal, Subash Khanal, Srikumar Sastry, Jacob Arndt, Philipe Ambrozio Dias, Dalton D. Lunga, Nathan Jacobs

CoRR, February, 2026

2025

WHiCH (Western Himalaya Canopy Height) Map 2020, Pakistan.

Adeel Ahmad, Srikumar Sastry, Aayush Dhakal, Subash Khanal, Alex Levering, Hammad Gilani, Nathan Jacobs

Dataset, December, 2025

ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology.

Srikumar Sastry, Subash Khanal, Aayush Dhakal, Jiayu Lin, Dan Cher, Phoenix Jarosz, Nathan Jacobs

CoRR, November, 2025

Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping.

Subash Khanal, Srikumar Sastry, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs

CoRR, May, 2025

Mixed-View Panorama Synthesis using Geospatially Guided Diffusion.

Zhexiao Xiong, Xin Xing, Scott Workman, Subash Khanal, Nathan Jacobs

Trans. Mach. Learn. Res., 2025

TaxaBind: A Unified Embedding Space for Ecological Applications.

Srikumar Sastry, Subash Khanal, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Global and Local Entailment Learning for Natural World Imagery.

Srikumar Sastry, Aayush Dhakal, Eric Xing, Subash Khanal, Nathan Jacobs

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings.

Aayush Dhakal, Srikumar Sastry, Subash Khanal, Adeel Ahmad, Eric Xing, Nathan Jacobs

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping.

Srikumar Sastry, Subash Khanal, Aayush Dhakal, Di Huang, Nathan Jacobs

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping.

Subash Khanal, Eric Xing, Srikumar Sastry, Aayush Dhakal, Zhexiao Xiong, Adeel Ahmad, Nathan Jacobs

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

GeoBind: Binding Text, Image, and Audio through Satellite Images.

Aayush Dhakal, Subash Khanal, Srikumar Sastry, Adeel Ahmad, Nathan Jacobs

Proceedings of the IGARSS 2024, 2024

GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis.

Srikumar Sastry, Subash Khanal, Aayush Dhakal, Nathan Jacobs

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images.

Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Hannah Kerner, Nathan Jacobs

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A 2.0 GS/s Two-Stage Quad-Channel Digital Downconverter for a 380 GHz Spaceborne Atmospheric HO Monitoring Instrument.

Adrian Tang, Subash Khanal, Gabriel Virbila, Nathaniel J. Livesey, Frank Werner, Goutam Chattopadhyay, Mau-Chung Frank Chang

IEEE Trans. Circuits Syst. II Express Briefs, 2023

LD-SDM: Language-Driven Hierarchical Species Distribution Modeling.

Srikumar Sastry, Xin Xing, Aayush Dhakal, Subash Khanal, Adeel Ahmad, Nathan Jacobs

CoRR, 2023

Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images.

Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Nathan Jacobs

CoRR, 2023

Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping.

Subash Khanal, Srikumar Sastry, Aayush Dhakal, Nathan Jacobs

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Causality for Inherently Explainable Transformers: CAT-XPLAIN.

Subash Khanal, Benjamin Brodie, Xin Xing, Ai-Ling Lin, Nathan Jacobs

CoRR, 2022

Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis.

Xin Xing, Gongbo Liang, Yu Zhang, Subash Khanal, Ai-Ling Lin, Nathan Jacobs

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Mispronunciation Detection and Diagnosis for Mandarin Accented English Speech.

Subash Khanal, Michael T. Johnson, Mohammad Soleymanpour, Narjes Bozorg

Proceedings of the International Conference on Speech Technology and Human-Computer Dialogue, 2021

Articulatory Comparison of L1 and L2 Speech for Mispronunciation Diagnosis.

Subash Khanal, Michael T. Johnson, Narjes Bozorg

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Hierarchical Probabilistic Embeddings for Multi-View Image Classification.

Benjamin Brodie, Subash Khanal, Muhammad Usman Rafique, Connor Greenwell, Nathan Jacobs

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Alzheimer's Disease Classification Using Genetic Data.

Subash Khanal, Jin Chen, Nathan Jacobs, Ai-Ling Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021