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Xiaogang Wang

111 papers hereh-index 132104.1k citations638 works total

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

author position
  • first author4
  • middle author47
  • last author58

Across the 109 of 111 papers where every author was matched, so the position is known.

fields
  • cs.CV96
  • cs.LG4
  • stat.CO2
  • stat.ME2
  • cs.GR1
  • cs.IT1
same name
  • Xiaogang Wang — 427 papers
  • Xiaogang Wang — 64 papers, h 50
  • Xiaogang Wang — 12 papers, h 10
  • Xiaogang Wang — 10 papers, h 8
  • Xiaogang Wang — 9 papers, h 10
  • Xiaogang Wang — 6 papers, h 8

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
20052023
most citedDeep Learning Face Representation by Joint Identification-Verification

1.8k citations · 8.6k across the 108 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.CV2015★ 7 cited

Window-Object Relationship Guided Representation Learning for Generic Object Detections

Xingyu Zeng, Wanli Ouyang, Xiaogang Wang

In existing works that learn representation for object detection, the relationship between a candidate window and the ground truth bounding box of an object is simplified by thresh…

cs.CV2015★ 6 cited

Sparsifying Neural Network Connections for Face Recognition

Yi Sun, Xiaogang Wang, Xiaoou Tang

This paper proposes to learn high-performance deep ConvNets with sparse neural connections, referred to as sparse ConvNets, for face recognition. The sparse ConvNets are learned in…

cs.LG2015★ 371 cited

Convolutional neural networks with low-rank regularization

Cheng Tai, Tong Xiao, Yi Zhang +2

Large CNNs have delivered impressive performance in various computer vision applications. But the storage and computation requirements make it problematic for deploying these model…

cs.CV2015★ 895 cited

DeepID3: Face Recognition with Very Deep Neural Networks

Yi Sun, Ding Liang, Xiaogang Wang +1

The state-of-the-art of face recognition has been significantly advanced by the emergence of deep learning. Very deep neural networks recently achieved great success on general obj…

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