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Ying Tai

54 papers hereh-index 4411.9k citations96 works total

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

author position
  • first author2
  • middle author46
  • last author2

Across the 50 of 54 papers where every author was matched, so the position is known.

fields
  • cs.CV52
  • cs.LG1
  • eess.IV1
same name
  • Ying Tai — 19 papers, h 7
  • Ying Tai — 18 papers, h 7
  • Ying Tai — 10 papers, h 9
  • Ying Tai — 5 papers, h 3
  • Ying Tai — 4 papers, h 3
  • Ying Tai — 2 papers

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
20142023
most citedMemNet: A Persistent Memory Network for Image Restoration

193 citations · 726 across the 54 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 3 cited

Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos

Ying Tai, Yicong Liang, Xiaoming Liu +5

In recent years, heatmap regression based models have shown their effectiveness in face alignment and pose estimation. However, Conventional Heatmap Regression (CHR) is not accurat…

cs.CV2018★ 8 cited

DSFD: Dual Shot Face Detector

Jian Li, Yabiao Wang, Changan Wang +6

In this paper, we propose a novel face detection network with three novel contributions that address three key aspects of face detection, including better feature learning, progres…

cs.CV2018★ 24 cited

Person Search via A Mask-Guided Two-Stream CNN Model

Di Chen, Shanshan Zhang, Wanli Ouyang +2

In this work, we tackle the problem of person search, which is a challenging task consisted of pedestrian detection and person re-identification~(re-ID). Instead of sharing represe…

cs.CV2018★ 11 cited

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

Xi Cheng, Xiang Li, Ying Tai +1

Single image super resolution is a very important computer vision task, with a wide range of applications. In recent years, the depth of the super-resolution model has been constan…

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