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Chengyang Li

8 papers hereh-index 13644 citations49 works total

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

author position
  • middle author8

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV8
same name
  • Chengyang Li — 15 papers, h 10
  • Chengyang Li — 6 papers, h 1
  • Chengyang Li — 4 papers, h 4
  • Chengyang Li — 2 papers, h 4
  • Chengyang Li — 2 papers, h 1
  • Chengyang Li — 1 paper, h 3

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
20222026
most citedPosition-Aware Relation Learning for RGB-Thermal Salient Object Detection

62 citations · 137 across the 8 of their papers we have counts for

collaborators
Showing 2022 · cs.CVShow all

4 papers · 2 filters

cs.CV2022★ 62 cited

Position-Aware Relation Learning for RGB-Thermal Salient Object Detection

Heng Zhou, Chunna Tian, Zhenxi Zhang +4

RGB-Thermal salient object detection (SOD) combines two spectra to segment visually conspicuous regions in images. Most existing methods use boundary maps to learn the sharp bounda…

cs.CV2022★ 22 cited

PixelGame: Infrared small target segmentation as a Nash equilibrium

Heng Zhou, Chunna Tian, Zhenxi Zhang +3

A key challenge of infrared small target segmentation (ISTS) is to balance false negative pixels (FNs) and false positive pixels (FPs). Traditional methods combine FNs and FPs into…

cs.CV2022

Enhancing and Dissecting Crowd Counting By Synthetic Data

Yi Hou, Chengyang Li, Yuheng Lu +4

In this article, we propose a simulated crowd counting dataset CrowdX, which has a large scale, accurate labeling, parameterized realization, and high fidelity. The experimental re…

cs.CV2022★ 19 cited

BBA-net: A bi-branch attention network for crowd counting

Yi Hou, Chengyang Li, Fan Yang +5

In the field of crowd counting, the current mainstream CNN-based regression methods simply extract the density information of pedestrians without finding the position of each perso…

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