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Hao Wang

4 papers hereh-index 6166 citations9 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Hao Wang — 23 papers, h 101
  • Hao Wang — 13 papers
  • Hao Wang — 12 papers, h 21
  • Hao Wang — 7 papers, h 12
  • Hao Wang — 7 papers
  • Hao Wang — 6 papers

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

most citedSemantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2021

Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval

Zhipeng Wang, Hao Wang, Jiexi Yan +2

Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) is a novel cross-modal retrieval task, where abstract sketches are used as queries to retrieve natural images under zero-shot scena…

cs.CV2019

Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval

Xinxun Xu, Hao Wang, Leida Li +1

Zero-shot sketch-based image retrieval (ZS-SBIR) is a specific cross-modal retrieval task for retrieving natural images with free-hand sketches under zero-shot scenario. Previous w…

cs.CV2019

Stacked Semantic-Guided Network for Zero-Shot Sketch-Based Image Retrieval

Hao Wang, Cheng Deng, Xinxu Xu +3

Zero-shot sketch-based image retrieval (ZS-SBIR) is a task of cross-domain image retrieval from a natural image gallery with free-hand sketch under a zero-shot scenario. Previous w…

cs.CV2019★ 1 cited

Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification

De Xie, Cheng Deng, Hao Wang +2

Two-stream architecture have shown strong performance in video classification task. The key idea is to learn spatio-temporal features by fusing convolutional networks spatially and…

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