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researcher

Yi Wang

5 papers here

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

author position
  • first author1
  • middle author3

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1
  • cs.LG1
same name
  • Yi Wang — 43 papers
  • Yi Wang — 28 papers, h 35
  • Yi Wang — 28 papers
  • Yi Wang — 28 papers, h 5
  • Yi Wang — 26 papers, h 73
  • Yi Wang — 14 papers, h 11

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

most citedOn the Foundations of Earth and Climate Foundation Models

16 citations · 16 across the 1 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

EO-VAE: Towards A Multi-sensor Tokenizer for Earth Observation Data

Nils Lehmann, Yi Wang, Zhitong Xiong +1

State-of-the-art generative image and video models rely heavily on tokenizers that compress high-dimensional inputs into more efficient latent representations. While this paradigm…

cs.CV2025

GlobalGeoTree: A Multi-Granular Vision-Language Dataset for Global Tree Species Classification

Yang Mu, Zhitong Xiong, Yi Wang +5

Global tree species mapping using remote sensing data is vital for biodiversity monitoring, forest management, and ecological research. However, progress in this field has been con…

cs.CV2025

Towards a Unified Copernicus Foundation Model for Earth Vision

Yi Wang, Zhitong Xiong, Chenying Liu +8

Advances in Earth observation (EO) foundation models have unlocked the potential of big satellite data to learn generic representations from space, benefiting a wide range of downs…

cs.CV2025

DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation

Zhitong Xiong, Yi Wang, Weikang Yu +7

Earth observation (EO) spans a broad spectrum of modalities, including optical, radar, multispectral, and hyperspectral data, each capturing distinct environmental signals. However…

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