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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 2014 · cs.CVShow all

4 papers · 2 filters

cs.CV2014★ 162 cited

Salient Object Detection: A Discriminative Regional Feature Integration Approach

Huaizu Jiang, Zejian Yuan, Ming-Ming Cheng +3

Salient object detection has been attracting a lot of interest, and recently various heuristic computational models have been designed. In this paper, we formulate saliency map com…

cs.CV2014★ 23 cited

Deep Regression for Face Alignment

Baoguang Shi, Xiang Bai, Wenyu Liu +1

In this paper, we present a deep regression approach for face alignment. The deep architecture consists of a global layer and multi-stage local layers. We apply the back-propagatio…

cs.CV2014★ 18 cited

Inner Product Similarity Search using Compositional Codes

Chao Du, Jingdong Wang

This paper addresses the nearest neighbor search problem under inner product similarity and introduces a compact code-based approach. The idea is to approximate a vector using the…

cs.CV2014★ 2 cited

Optimized Cartesian K-Means

Jianfeng Wang, Jingdong Wang, Jingkuan Song +3

Product quantization-based approaches are effective to encode high-dimensional data points for approximate nearest neighbor search. The space is decomposed into a Cartesian product…

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