◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Wenyu Liu

15 papers here

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

author position
  • first author2
  • middle author6
  • last author7

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • stat.ML1
ORCID 0000-0002-4582-7488
same name
  • Wenyu Liu — 70 papers, h 40
  • Wenyu Liu — 30 papers, h 15
  • Wenyu Liu — 19 papers, h 7
  • Wenyu Liu — 17 papers, h 12
  • Wenyu Liu — 7 papers, h 2
  • Wenyu Liu — 5 papers, h 4

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
20142022
most citedRevisiting Multiple Instance Neural Networks

512 citations · 1.2k across the 15 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CV2016★ 445 cited

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

Minghui Liao, Baoguang Shi, Xiang Bai +2

This paper presents an end-to-end trainable fast scene text detector, named TextBoxes, which detects scene text with both high accuracy and efficiency in a single network forward p…

stat.ML2016★ 512 cited

Revisiting Multiple Instance Neural Networks

Xinggang Wang, Yongluan Yan, Peng Tang +2

Recently neural networks and multiple instance learning are both attractive topics in Artificial Intelligence related research fields. Deep neural networks have achieved great succ…

cs.CV2016★ 39 cited

Deep FisherNet for Object Classification

Peng Tang, Xinggang Wang, Baoguang Shi +3

Despite the great success of convolutional neural networks (CNN) for the image classification task on datasets like Cifar and ImageNet, CNN's representation power is still somewhat…

cs.CV2016★ 85 cited

Multi-Oriented Text Detection with Fully Convolutional Networks

Zheng Zhang, Chengquan Zhang, Wei Shen +3

In this paper, we propose a novel approach for text detec- tion in natural images. Both local and global cues are taken into account for localizing text lines in a coarse-to-fine p…

◍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.