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20222026
most citedTaxaBind: A Unified Embedding Space for Ecological Applications

3 citations · 9 across the 18 of their papers we have counts for

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cs.CV2024★ 3 cited

TaxaBind: A Unified Embedding Space for Ecological Applications

Srikumar Sastry, Subash Khanal, Aayush Dhakal +2

We present TaxaBind, a unified embedding space for characterizing any species of interest. TaxaBind is a multimodal embedding space across six modalities: ground-level images of sp…

cs.SD2024

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

Subash Khanal, Eric Xing, Srikumar Sastry +4

A soundscape is defined by the acoustic environment a person perceives at a location. In this work, we propose a framework for mapping soundscapes across the Earth. Since soundscap…

cs.CV2024

Mixed-View Panorama Synthesis using Geospatially Guided Diffusion

Zhexiao Xiong, Xin Xing, Scott Workman +2

We introduce the task of mixed-view panorama synthesis, where the goal is to synthesize a novel panorama given a small set of input panoramas and a satellite image of the area. Thi…

cs.AI2024

GEOBIND: Binding Text, Image, and Audio through Satellite Images

Aayush Dhakal, Subash Khanal, Srikumar Sastry +2

In remote sensing, we are interested in modeling various modalities for some geographic location. Several works have focused on learning the relationship between a location and typ…

cs.CV2024★ 1 cited

GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis

Srikumar Sastry, Subash Khanal, Aayush Dhakal +1

We present GeoSynth, a model for synthesizing satellite images with global style and image-driven layout control. The global style control is via textual prompts or geographic loca…