Eroding Trust in Aerial Imagery: Comprehensive Analysis and Evaluation of Adversarial Attacks in Geospatial Systems. - Michael Lanier; Aayush Dhakal; Zhexiao Xiong; Arthur Li; Nathan Jacobs; Yevgeniy Vorobeychik (AIPR, 2023)

Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. - Subash Khanal; Srikumar Sastry; Aayush Dhakal; Nathan Jacobs (BMVC, 2023)

Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. - Aayush Dhakal; Adeel Ahmad; Subash Khanal; Srikumar Sastry; Nathan Jacobs (CoRR, 2023)

FroSSL: Frobenius Norm Minimization for Self-Supervised Learning. - Oscar Skean; Aayush Dhakal; Nathan Jacobs; Luis Gonzalo Sánchez Giraldo (CoRR, 2023)

LD-SDM: Language-Driven Hierarchical Species Distribution Modeling. - Srikumar Sastry; Xin Xing 002; 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; Hannah Kerner; Nathan Jacobs (CVPR Workshops, 2024)

GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis. - Srikumar Sastry; Subash Khanal; Aayush Dhakal; Nathan Jacobs (CVPR Workshops, 2024)

FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning. - Oscar Skean; Aayush Dhakal; Nathan Jacobs; Luis Gonzalo Sánchez Giraldo (ECCV (89), 2024)

GeoBind: Binding Text, Image, and Audio through Satellite Images. - Aayush Dhakal; Subash Khanal; Srikumar Sastry; Adeel Ahmad; Nathan Jacobs (IGARSS, 2024)

Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. - Pallavi Jain 004; Diego Marcos; Dino Ienco; Roberto Interdonato; Aayush Dhakal; Nathan Jacobs; Tristan Berchoux (IGARSS, 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 (ACM Multimedia, 2024)

BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. - Srikumar Sastry; Subash Khanal; Aayush Dhakal; Di Huang; Nathan Jacobs (WACV, 2024)

RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. - Aayush Dhakal; Srikumar Sastry; Subash Khanal; Adeel Ahmad; Eric Xing; Nathan Jacobs (CVPR, 2025)

TaxaBind: A Unified Embedding Space for Ecological Applications. - Srikumar Sastry; Subash Khanal; Aayush Dhakal; Adeel Ahmad; Nathan Jacobs (WACV, 2025)

Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping. - Subash Khanal; Srikumar Sastry; Aayush Dhakal; Adeel Ahmad; Nathan Jacobs (CoRR, 2025)

Global and Local Entailment Learning for Natural World Imagery. - Srikumar Sastry; Aayush Dhakal; Eric Xing; Subash Khanal; Nathan Jacobs (CoRR, 2025)