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Xi Yin

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16 papers hereh-index 226.1k citations28 works total

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

author position
  • first author4
  • middle author12

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

fields
  • cs.CV16
affiliations
  • Facebook
Homepage
same name
  • Xi Yin — 51 papers, h 40
  • Xi Yin — 14 papers, h 6
  • Xi Yin — 3 papers, h 4
  • Xi Yin — 3 papers, h 1
  • Xi Yin — 3 papers, h 3
  • Xi Yin — 2 papers, h 0

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
20152024
most citedMulti-Task Convolutional Neural Network for Pose-Invariant Face Recognition

256 citations · 610 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 19 cited

TAP: Text-Aware Pre-training for Text-VQA and Text-Caption

Zhengyuan Yang, Yijuan Lu, Jianfeng Wang +6

In this paper, we propose Text-Aware Pre-training (TAP) for Text-VQA and Text-Caption tasks. These two tasks aim at reading and understanding scene text in images for question answ…

cs.CV2020

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

Vítor Albiero, Xingyu Chen, Xi Yin +2

We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face detection or landmark localization. We observe that estimating the 6DoF rigid transformati…

cs.CV2020★ 7 cited

Hashing-based Non-Maximum Suppression for Crowded Object Detection

Jianfeng Wang, Xi Yin, Lijuan Wang +1

In this paper, we propose an algorithm, named hashing-based non-maximum suppression (HNMS) to efficiently suppress the non-maximum boxes for object detection. Non-maximum suppressi…

cs.CV2020

Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Xiujun Li, Xi Yin, Chunyuan Li +9

Large-scale pre-training methods of learning cross-modal representations on image-text pairs are becoming popular for vision-language tasks. While existing methods simply concatena…

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