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Liang He

9 papers hereh-index 242.5k citations166 works total

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

author position
  • last author9

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

fields
  • cs.CV8
  • cs.CL1
same name
  • Liang He — 48 papers, h 14
  • Liang He — 30 papers, h 34
  • Liang He — 14 papers, h 16
  • Liang He — 14 papers, h 6
  • Liang He — 13 papers, h 8
  • Liang He — 11 papers, 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
20182021
most citedFast Video Crowd Counting with a Temporal Aware Network

48 citations · 111 across the 9 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019

Cascaded Detail-Preserving Networks for Super-Resolution of Document Images

Zhichao Fu, Yu Kong, Yingbin Zheng +4

The accuracy of OCR is usually affected by the quality of the input document image and different kinds of marred document images hamper the OCR results. Among these scenarios, the…

cs.CV2019

Scene Text Recognition with Temporal Convolutional Encoder

Xiangcheng Du, Tianlong Ma, Yingbin Zheng +3

Texts from scene images typically consist of several characters and exhibit a characteristic sequence structure. Existing methods capture the structure with the sequence-to-sequenc…

cs.CV2019★ 9 cited

Edge-Aware Deep Image Deblurring

Zhichao Fu, Tianlong Ma, Yingbin Zheng +3

Image deblurring is a fundamental and challenging low-level vision problem. Previous vision research indicates that edge structure in natural scenes is one of the most important fa…

cs.CV2019★ 48 cited

Fast Video Crowd Counting with a Temporal Aware Network

Xingjiao Wu, Baohan Xu, Yingbin Zheng +3

Crowd counting aims to count the number of instantaneous people in a crowded space, and many promising solutions have been proposed for single image crowd counting. With the ubiqui…

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