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Jianfeng Liu

4 papers hereh-index 7162 citations16 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV4
same name
  • Jianfeng Liu — 9 papers, h 6
  • Jianfeng Liu — 5 papers
  • Jianfeng Liu — 3 papers, h 39
  • Jianfeng Liu — 3 papers, h 4
  • Jianfeng Liu — 1 paper
  • Jianfeng Liu — 1 paper

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
20182024
most citedEfficient Misalignment-Robust Multi-Focus Microscopical Images Fusion

17 citations · 28 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

An efficient framework based on large foundation model for cervical cytopathology whole slide image screening

Jialong Huang, Gaojie Li, Shichao Kan +2

Current cervical cytopathology whole slide image (WSI) screening primarily relies on detection-based approaches, which are limited in performance due to the expense and time-consum…

cs.CV2022

Exploring Contextual Relationships for Cervical Abnormal Cell Detection

Yixiong Liang, Shuo Feng, Qing Liu +5

Cervical abnormal cell detection is a challenging task as the morphological discrepancies between abnormal and normal cells are usually subtle. To determine whether a cervical cell…

cs.CV2018★ 17 cited

Efficient Misalignment-Robust Multi-Focus Microscopical Images Fusion

Yixiong Liang, Yuan Mao, Zhihong Tang +3

In this paper we propose a very efficient method to fuse the unregistered multi-focus microscopical images based on the speed-up robust features (SURF). Our method follows the pipe…

cs.CV2018★ 11 cited

Scale-Invariant Structure Saliency Selection for Fast Image Fusion

Yixiong Liang, Yuan Mao, Jiazhi Xia +2

In this paper, we present a fast yet effective method for pixel-level scale-invariant image fusion in spatial domain based on the scale-space theory. Specifically, we propose a sca…

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