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Lipo Wang

Nanyang Technological University

14 papers hereh-index 5113.7k citations439 works total

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

author position
  • first author2
  • middle author4
  • last author8

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn6
  • cs.CV3
  • cond-mat.stat-mech1
  • cs.LG1
  • cs.SE1
  • physics.atom-ph1
affiliations
  • Nanyang Technological University
same name
  • Lipo Wang — 4 papers, h 1
  • Lipo Wang — 3 papers, h 6
  • Lipo Wang — 3 papers
  • Lipo Wang — 2 papers, h 2
  • Lipo Wang — 1 paper

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
20182020
most citedRGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles

7 citations · 15 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2020★ 3 cited

Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging

Yeqi Bai, Tao Ma, Lipo Wang +1

While deep learning technologies are now capable of generating realistic images confusing humans, the research efforts are turning to the synthesis of images for more concrete and…

cs.CV2019★ 7 cited

RGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles

Dhritimaan Das, Ayush Agarwal, Pratik Chattopadhyay +1

Gait of a person refers to his/her walking pattern, and according to medical studies gait of every individual is unique. Over the past decade, several computer vision-based gait re…

cs.CV2019

Fully Automated Image De-fencing using Conditional Generative Adversarial Networks

Divyanshu Gupta, Shorya Jain, Utkarsh Tripathi +2

Image de-fencing is one of the important aspects of recreational photography in which the objective is to remove the fence texture present in an image and generate an aesthetically…

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