Aayush Dhakal

According to our database, Aayush Dhakal authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

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

2023

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

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

CoRR, 2023

FroSSL: Frobenius Norm Minimization for Self-Supervised Learning.

Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sánchez Giraldo

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

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

Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023