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researcher

Guanghui Wang

University of Kansas

29 papers hereh-index 283.8k citations138 works total

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

author position
  • middle author7
  • last author20

Across the 27 of 29 papers where every author was matched, so the position is known.

fields
  • cs.CV23
  • cs.LG1
  • cs.RO1
  • eess.IV1
  • math.OC1
  • q-bio.TO1
affiliations
  • University of Kansas
same name
  • Guanghui Wang — 26 papers, h 16
  • Guanghui Wang — 19 papers, h 8
  • Guanghui Wang — 19 papers, h 3
  • Guanghui Wang — 13 papers, h 2
  • Guanghui Wang — 12 papers, h 9
  • Guanghui Wang — 11 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 citedBoosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features

42 citations · 90 across the 24 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.CV2018

MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection

Wenchi Ma, Yuanwei Wu, Zongbo Wang +1

Object detection in challenging situations such as scale variation, occlusion, and truncation depends not only on feature details but also on contextual information. Most previous…

q-bio.TO2018

An Efficient Approach for Polyps Detection in Endoscopic Videos Based on Faster R-CNN

Xi Mo, Ke Tao, Quan Wang +1

Polyp has long been considered as one of the major etiologies to colorectal cancer which is a fatal disease around the world, thus early detection and recognition of polyps plays a…

cs.CV2018

Learning Depth from Single Images with Deep Neural Network Embedding Focal Length

Lei He, Guanghui Wang, Zhanyi Hu

Learning depth from a single image, as an important issue in scene understanding, has attracted a lot of attention in the past decade. The accuracy of the depth estimation has been…

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