◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Xinlong Wang

11 papers hereh-index 144.2k citations19 works total

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

author position
  • first author4
  • middle author7

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV11
same name
  • Xinlong Wang — 19 papers, h 23
  • Xinlong Wang — 7 papers, h 5
  • Xinlong Wang — 6 papers, h 7
  • Xinlong Wang — 6 papers, h 4
  • Xinlong Wang — 5 papers, h 3
  • Xinlong Wang — 4 papers, h 5

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
20172024
most citedTFPose: Direct Human Pose Estimation with Transformers

57 citations · 205 across the 10 of their papers we have counts for

collaborators
Showing 2020 · cs.CVShow all

4 papers · 2 filters

cs.CV2020★ 4 cited

Diverse Knowledge Distillation for End-to-End Person Search

Xinyu Zhang, Xinlong Wang, Jia-Wang Bian +2

Person search aims to localize and identify a specific person from a gallery of images. Recent methods can be categorized into two groups, i.e., two-step and end-to-end approaches.…

cs.CV2020★ 28 cited

BoxInst: High-Performance Instance Segmentation with Box Annotations

Zhi Tian, Chunhua Shen, Xinlong Wang +1

We present a high-performance method that can achieve mask-level instance segmentation with only bounding-box annotations for training. While this setting has been studied in the l…

cs.CV2020

End-to-End Video Instance Segmentation with Transformers

Yuqing Wang, Zhaoliang Xu, Xinlong Wang +4

Video instance segmentation (VIS) is the task that requires simultaneously classifying, segmenting and tracking object instances of interest in video. Recent methods typically deve…

cs.CV2020★ 40 cited

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

Xinlong Wang, Rufeng Zhang, Chunhua Shen +2

To date, most existing self-supervised learning methods are designed and optimized for image classification. These pre-trained models can be sub-optimal for dense prediction tasks…

◍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.