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researcher

Ye Yuan

16 papers hereh-index 111.2k citations17 works total

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

author position
  • first author1
  • middle author13
  • last author1

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV16
same name
  • Ye Yuan — 22 papers, h 22
  • Ye Yuan — 20 papers, h 26
  • Ye Yuan — 19 papers, h 12
  • Ye Yuan — 16 papers, h 16
  • Ye Yuan — 13 papers, h 6
  • Ye Yuan — 13 papers, 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
20162026
most citedFace Attention Network: An Effective Face Detector for the Occluded Faces

144 citations · 285 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 4 cited

Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation

Zhengyi Luo, Ryo Hachiuma, Ye Yuan +2

We propose a method for incorporating object interaction and human body dynamics into the task of 3D ego-pose estimation using a head-mounted camera. We use a kinematics model of t…

cs.CV2020★ 3 cited

End-to-End 3D Multi-Object Tracking and Trajectory Forecasting

Xinshuo Weng, Ye Yuan, Kris Kitani

3D multi-object tracking (MOT) and trajectory forecasting are two critical components in modern 3D perception systems. We hypothesize that it is beneficial to unify both tasks unde…

cs.CV2020★ 8 cited

AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses

Zixuan Xu, Banghuai Li, Miao Geng +1

Facial landmark localization aims to detect the predefined points of human faces, and the topic has been rapidly improved with the recent development of neural network based method…

cs.CV2020★ 9 cited

State-Aware Tracker for Real-Time Video Object Segmentation

Xi Chen, Zuoxin Li, Ye Yuan +3

In this work, we address the task of semi-supervised video object segmentation(VOS) and explore how to make efficient use of video property to tackle the challenge of semi-supervis…

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