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Jingdong Wang

Microsoft Research Asia, Beijing, China

57 papers hereh-index 7542.8k citations223 works total

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

author position
  • first author12
  • middle author17
  • last author23

Across the 52 of 57 papers where every author was matched, so the position is known.

fields
  • cs.CV54
  • cs.IR2
  • cs.DS1
affiliations
  • Microsoft Research Asia, Beijing, China
Homepage
same name
  • Jingdong Wang — 196 papers, h 47
  • Jingdong Wang — 5 papers, h 0
  • Jingdong Wang — 4 papers
  • Jingdong Wang — 4 papers, h 1
  • Jingdong Wang — 2 papers, h 3
  • Jingdong Wang — 2 papers, h 7

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
20132023
most citedMMDetection: Open MMLab Detection Toolbox and Benchmark

794 citations · 4.3k across the 55 of their papers we have counts for

collaborators
Showing 2013 · cs.CVShow all

4 papers · 2 filters

cs.CV2013★ 2 cited

Fast Neighborhood Graph Search using Cartesian Concatenation

Jingdong Wang, Jing Wang, Gang Zeng +3

In this paper, we propose a new data structure for approximate nearest neighbor search. This structure augments the neighborhood graph with a bridge graph. We propose to exploit Ca…

cs.CV2013★ 20 cited

Fast Approximate K-Means via Cluster Closures

Jingdong Wang, Jing Wang, Qifa Ke +2

K-means, a simple and effective clustering algorithm, is one of the most widely used algorithms in multimedia and computer vision community. Traditional k-means is an iterative…

cs.CV2013★ 2 cited

Scalable k-NN graph construction

Jingdong Wang, Jing Wang, Gang Zeng +3

The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to cons…

cs.CV2013

Hybrid Affinity Propagation

Jingdong Wang, Hao Xu, Xian-Sheng Hua +1

In this paper, we address a problem of managing tagged images with hybrid summarization. We formulate this problem as finding a few image exemplars to represent the image set seman…

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