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Lei Chen

9 papers hereh-index 12525 citations16 works total

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

author position
  • first author2
  • middle author5
  • last author1

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.LG1
same name
  • Lei Chen — 41 papers, h 71
  • Lei Chen — 26 papers, h 7
  • Lei Chen — 25 papers, h 14
  • Lei Chen — 21 papers, h 8
  • Lei Chen — 19 papers, h 9
  • Lei Chen — 14 papers, h 4

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
20162026
most citedAutoGEL: An Automated Graph Neural Network with Explicit Link Information

9 citations · 25 across the 8 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning

Zhiheng Li, Wenjia Geng, Muheng Li +4

In this paper, we propose Skip-Plan, a condensed action space learning method for procedure planning in instructional videos. Current procedure planning methods all stick to the st…

cs.CV2023

Efficient Video Action Detection with Token Dropout and Context Refinement

Lei Chen, Zhan Tong, Yibing Song +2

Streaming video clips with large-scale video tokens impede vision transformers (ViTs) for efficient recognition, especially in video action detection where sufficient spatiotempora…

cs.CV2023★ 1 cited

CycleACR: Cycle Modeling of Actor-Context Relations for Video Action Detection

Lei Chen, Zhan Tong, Yibing Song +2

The relation modeling between actors and scene context advances video action detection where the correlation of multiple actors makes their action recognition challenging. Existing…

cs.CV2023★ 3 cited

Learning Combinatorial Prompts for Universal Controllable Image Captioning

Zhen Wang, Jun Xiao, Yueting Zhuang +3

Controllable Image Captioning (CIC) -- generating natural language descriptions about images under the guidance of given control signals -- is one of the most promising directions…

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