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Danfeng Hong

4 papers hereh-index 6225 citations10 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Danfeng Hong — 11 papers, h 5
  • Danfeng Hong — 8 papers, h 5
  • Danfeng Hong — 4 papers, h 17
  • Danfeng Hong — 3 papers, h 3
  • Danfeng Hong — 2 papers, h 2
  • Danfeng Hong — 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

most citedSeaMo: A Season-Aware Multimodal Foundation Model for Remote Sensing

4 citations · 7 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

FlexiMo: A Flexible Remote Sensing Foundation Model

Xuyang Li, Chenyu Li, Pedram Ghamisi +1

The rapid expansion of multi-source satellite imagery drives innovation in Earth observation, opening unprecedented opportunities for Remote Sensing Foundation Models to harness di…

cs.CV2024★ 4 cited

SeaMo: A Season-Aware Multimodal Foundation Model for Remote Sensing

Xuyang Li, Chenyu Li, Gemine Vivone +1

Remote Sensing (RS) data encapsulates rich multi-dimensional information essential for Earth observation. Its vast volume, diverse sources, and temporal continuity make it particul…

cs.CV2024

Linearly-evolved Transformer for Pan-sharpening

Junming Hou, Zihan Cao, Naishan Zheng +6

Vision transformer family has dominated the satellite pan-sharpening field driven by the global-wise spatial information modeling mechanism from the core self-attention ingredient.…

cs.CV2024★ 3 cited

Pan-Mamba: Effective pan-sharpening with State Space Model

Xuanhua He, Ke Cao, Keyu Yan +4

Pan-sharpening involves integrating information from low-resolution multi-spectral and high-resolution panchromatic images to generate high-resolution multi-spectral counterparts.…

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