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Zhihao Wang

7 papers hereh-index 72k citations12 works total

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

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
  • eess.IV1
same name
  • Zhihao Wang — 11 papers, h 1
  • Zhihao Wang — 7 papers, h 5
  • Zhihao Wang — 5 papers, h 6
  • Zhihao Wang — 5 papers, h 6
  • Zhihao Wang — 4 papers, h 4
  • Zhihao Wang — 3 papers, h 12

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
20192022
most citedDeep Learning for Image Super-resolution: A Survey

74 citations · 82 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 2 cited

Temporal Saliency Query Network for Efficient Video Recognition

Boyang Xia, Zhihao Wang, Wenhao Wu +2

Efficient video recognition is a hot-spot research topic with the explosive growth of multimedia data on the Internet and mobile devices. Most existing methods select the salient f…

cs.CV2021

Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel

Zhihao Wang, Yanwei Yu, Yibo Wang +2

Offline Chinese handwriting text recognition is a long-standing research topic in the field of pattern recognition. In previous studies, text detection and recognition are separate…

cs.CV2020★ 5 cited

Adaptive Task Sampling for Meta-Learning

Chenghao Liu, Zhihao Wang, Doyen Sahoo +3

Meta-learning methods have been extensively studied and applied in computer vision, especially for few-shot classification tasks. The key idea of meta-learning for few-shot classif…

cs.CV2019★ 74 cited

Deep Learning for Image Super-resolution: A Survey

Zhihao Wang, Jian Chen, Steven C. H. Hoi

Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision. Recent years have witnessed rema…

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