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Kai Su

8 papers hereh-index 9391 citations16 works total

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

author position
  • first author1
  • middle author7

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

fields
  • cs.CV8
same name
  • Kai Su — 4 papers, h 6
  • Kai Su — 3 papers, h 4
  • Kai Su — 2 papers, h 3
  • Kai Su — 1 paper, h 2
  • Kai Su — 1 paper, h 5
  • Kai Su — 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
20192022
most citedQueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query

9 citations · 26 across the 8 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019

Towards Good Practices for Multi-Person Pose Estimation

Dongdong Yu, Kai Su, Changhu Wang

Multi-Person Pose Estimation is an interesting yet challenging task in computer vision. In this paper, we conduct a series of refinements with the MSPN and PoseFix Networks, and em…

cs.CV2019★ 1 cited

Towards Good Practices for Video Object Segmentation

Dongdong Yu, Kai Su, Hengkai Guo +6

Semi-supervised video object segmentation is an interesting yet challenging task in machine learning. In this work, we conduct a series of refinements with the propagation-based vi…

cs.CV2019★ 6 cited

A Context-and-Spatial Aware Network for Multi-Person Pose Estimation

Dongdong Yu, Kai Su, Xin Geng +1

Multi-person pose estimation is a fundamental yet challenging task in computer vision. Both rich context information and spatial information are required to precisely locate the ke…

cs.CV2019★ 8 cited

Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information

Kai Su, Dongdong Yu, Zhenqi Xu +2

Multi-person pose estimation is an important but challenging problem in computer vision. Although current approaches have achieved significant progress by fusing the multi-scale fe…

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