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Xiaopeng Hong

40 papers hereh-index 428.1k citations123 works total

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

author position
  • first author2
  • middle author31
  • last author6

Across the 39 of 40 papers where every author was matched, so the position is known.

fields
  • cs.CV38
  • cs.RO1
  • eess.IV1
same name
  • Xiaopeng Hong — 13 papers, h 7
  • Xiaopeng Hong — 5 papers, h 2
  • Xiaopeng Hong — 3 papers, h 2
  • Xiaopeng Hong — 3 papers, h 2
  • Xiaopeng Hong — 2 papers, h 11
  • Xiaopeng 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

activity
20152023
most citedTowards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods

324 citations · 893 across the 40 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 11 cited

Can SAM Count Anything? An Empirical Study on SAM Counting

Zhiheng Ma, Xiaopeng Hong, Qinnan Shangguan

Meta AI recently released the Segment Anything model (SAM), which has garnered attention due to its impressive performance in class-agnostic segmenting. In this study, we explore t…

cs.RO2023★ 1 cited

Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning

Yabin Wang, Xiaopeng Hong, Zhiheng Ma +3

Task allocation plays a vital role in multi-robot autonomous cleaning systems, where multiple robots work together to clean a large area. However, most current studies mainly focus…

cs.CV2023

Remind of the Past: Incremental Learning with Analogical Prompts

Zhiheng Ma, Xiaopeng Hong, Beinan Liu +3

Although data-free incremental learning methods are memory-friendly, accurately estimating and counteracting representation shifts is challenging in the absence of historical data.…

cs.CV2023★ 1 cited

Benchmarking Deepart Detection

Yabin Wang, Zhiwu Huang, Xiaopeng Hong

Deepfake technologies have been blurring the boundaries between the real and unreal, likely resulting in malicious events. By leveraging newly emerged deepfake technologies, deepfa…

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