◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

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 2020Show all

4 papers · 1 filter

cs.CV2020★ 13 cited

SegFix: Model-Agnostic Boundary Refinement for Segmentation

Yuhui Yuan, Jingyi Xie, Xilin Chen +1

We present a model-agnostic post-processing scheme to improve the boundary quality for the segmentation result that is generated by any existing segmentation model. Motivated by th…

cs.CV2020★ 15 cited

Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation

Fangyun Wei, Xiao Sun, Hongyang Li +2

A recent approach for object detection and human pose estimation is to regress bounding boxes or human keypoints from a central point on the object or person. While this center-poi…

cs.CV2020★ 7 cited

Distillation Guided Residual Learning for Binary Convolutional Neural Networks

Jianming Ye, Shiliang Zhang, Jingdong Wang

It is challenging to bridge the performance gap between Binary CNN (BCNN) and Floating point CNN (FCNN). We observe that, this performance gap leads to substantial residuals betwee…

cs.CV2020★ 20 cited

Weakly-Supervised Action Localization by Generative Attention Modeling

Baifeng Shi, Qi Dai, Yadong Mu +1

Weakly-supervised temporal action localization is a problem of learning an action localization model with only video-level action labeling available. The general framework largely…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.