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Nathan Jacobs

25 papers hereh-index 9222 citations26 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author18

Across the 24 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV20
  • cs.AI2
  • cs.CR1
  • cs.LG1
  • cs.SD1
same name
  • Nathan Jacobs — 43 papers, h 32
  • Nathan Jacobs — 11 papers, h 4
  • Nathan Jacobs — 6 papers, h 2
  • Nathan Jacobs — 4 papers, h 4
  • Nathan Jacobs — 2 papers
  • Nathan Jacobs — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedTaxaBind: A Unified Embedding Space for Ecological Applications

3 citations · 9 across the 22 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics

Daniel Cher, Brian Wei, Srikumar Sastry +1

We introduce VectorSynth, a diffusion-based framework for pixel-accurate satellite image synthesis conditioned on polygonal geographic annotations with semantic attributes. Unlike…

cs.CV2025

ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology

Srikumar Sastry, Subash Khanal, Aayush Dhakal +4

We introduce ProM3E, a probabilistic masked multimodal embedding model for any-to-any generation of multimodal representations for ecology. ProM3E is based on masked modality recon…

cs.CV2025

Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping

Subash Khanal, Srikumar Sastry, Aayush Dhakal +3

We present Sat2Sound, a unified multimodal framework for geospatial soundscape understanding, designed to predict and map the distribution of sounds across the Earth's surface. Exi…

cs.CV2025

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

Aayush Dhakal, Srikumar Sastry, Subash Khanal +3

The choice of representation for geographic location significantly impacts the accuracy of models for a broad range of geospatial tasks, including fine-grained species classificati…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.