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Qiang Wang

4 papers here

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.CV4
ORCID 0000-0001-5632-4408
same name
  • Qiang Wang — 25 papers, h 24
  • Qiang Wang — 14 papers, h 17
  • Qiang Wang — 12 papers
  • Qiang Wang — 10 papers, h 24
  • Qiang Wang — 7 papers, h 24
  • Qiang 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 citedFlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow

Zhaoyang Huang, Xiaoyu Shi, Chao Zhang +6

This paper introduces a novel transformer-based network architecture, FlowFormer, along with the Masked Cost Volume AutoEncoding (MCVA) for pretraining it to tackle the problem of…

cs.CV2022

SphereDepth: Panorama Depth Estimation from Spherical Domain

Qingsong Yan, Qiang Wang, Kaiyong Zhao +3

The panorama image can simultaneously demonstrate complete information of the surrounding environment and has many advantages in virtual tourism, games, robotics, etc. However, the…

cs.CV2022

EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching

Qiang Wang, Shaohuai Shi, Kaiyong Zhao +1

Recent advanced studies have spent considerable human efforts on optimizing network architectures for stereo matching but hardly achieved both high accuracy and fast inference spee…

cs.CV2022

Automatic dataset generation for specific object detection

Xiaotian Lin, Leiyang Xu, Qiang Wang

In the past decade, object detection tasks are defined mostly by large public datasets. However, building object detection datasets is not scalable due to inefficient image collect…

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