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Lianwen Jin

74 papers hereh-index 6413.8k citations335 works total

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

author position
  • middle author50
  • last author22

Across the 72 of 74 papers where every author was matched, so the position is known.

fields
  • cs.CV71
  • cs.AI1
  • cs.CL1
  • cs.HC1
same name
  • Lianwen Jin — 17 papers, h 11
  • Lianwen Jin — 13 papers, h 11
  • Lianwen Jin — 12 papers, h 8
  • Lianwen Jin — 4 papers, h 3
  • Lianwen Jin — 4 papers, h 2
  • Lianwen Jin — 3 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
20152023
most citedDetecting Curve Text in the Wild: New Dataset and New Solution

212 citations · 646 across the 51 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018

Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module

Chenyang Li, Xin Zhang, Lufan Liao +2

The skeleton based gesture recognition is gaining more popularity due to its wide possible applications. The key issues are how to extract discriminative features and how to design…

cs.CV2018

EnsNet: Ensconce Text in the Wild

Shuaitao Zhang, Yuliang Liu, Lianwen Jin +2

A new method is proposed for removing text from natural images. The challenge is to first accurately localize text on the stroke-level and then replace it with a visually plausible…

cs.CV2018

Detecting Heads using Feature Refine Net and Cascaded Multi-Scale Architecture

Dezhi Peng, Zikai Sun, Zirong Chen +3

This paper presents a method that can accurately detect heads especially small heads under the indoor scene. To achieve this, we propose a novel method, Feature Refine Net (FRN), a…

cs.CV2018

SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction

Lingyu Liang, Luojun Lin, Lianwen Jin +2

Facial beauty prediction (FBP) is a significant visual recognition problem to make assessment of facial attractiveness that is consistent to human perception. To tackle this proble…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.