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Feng Gao

14 papers hereh-index 10483 citations17 works total

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

author position
  • first author1
  • middle author10
  • last author2

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.CL4
  • eess.IV2
  • cs.AI1
  • cs.LG1
  • cs.RO1
same name
  • Feng Gao — 29 papers, h 17
  • Feng Gao — 24 papers, h 28
  • Feng Gao — 19 papers, h 10
  • Feng Gao — 18 papers, h 7
  • Feng Gao — 15 papers, h 6
  • Feng Gao — 12 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

activity
20202023
most citedConceptualized Representation Learning for Chinese Biomedical Text Mining

55 citations · 131 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

eess.IV2023★ 29 cited

DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences

Wentao Liu, Tong Tian, Lemeng Wang +11

The automated segmentation of Intracranial Arteries (IA) in Digital Subtraction Angiography (DSA) plays a crucial role in the quantification of vascular morphology, significantly c…

cs.CV2023

Masked Path Modeling for Vision-and-Language Navigation

Zi-Yi Dou, Feng Gao, Nanyun Peng

Vision-and-language navigation (VLN) agents are trained to navigate in real-world environments by following natural language instructions. A major challenge in VLN is the limited a…

eess.IV2023★ 1 cited

Lesion-aware Dynamic Kernel for Polyp Segmentation

Ruifei Zhang, Peiwen Lai, Xiang Wan +4

Automatic and accurate polyp segmentation plays an essential role in early colorectal cancer diagnosis. However, it has always been a challenging task due to 1) the diverse shape,…

cs.CV2023

GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods

Da Yin, Feng Gao, Govind Thattai +2

A key goal for the advancement of AI is to develop technologies that serve the needs not just of one group but of all communities regardless of their geographical region. In fact,…

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