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H. Qi

21 papers hereh-index 2710.2k citations100 works total

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

author position
  • middle author20

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CV20
  • cs.CR1
same name
  • H. Qi — 249 papers, h 16
  • H. Qi — 213 papers, h 7
  • H. Qi — 201 papers, h 9
  • H. Qi — 150 papers, h 30
  • H. Qi — 68 papers, h 21
  • H. Qi — 54 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

activity
20152023
most citedCenterNet: Keypoint Triplets for Object Detection

168 citations · 631 across the 21 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018

Multi-Scale Supervised Network for Human Pose Estimation

Lipeng Ke, Ming-Ching Chang, Honggang Qi +1

Human pose estimation is an important topic in computer vision with many applications including gesture and activity recognition. However, pose estimation from image is challenging…

cs.CV2018★ 9 cited

Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification

Tao Hu, Jizheng Xu, Cong Huang +3

For fine-grained visual classification, objects usually share similar geometric structure but present variant local appearance and different pose. Therefore, localizing and extract…

cs.CV2018★ 7 cited

Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network

Tao Hu, Honggang Qi, Jizheng Xu +1

Cascaded Regression (CR) based methods have been proposed to solve facial landmarks detection problem, which learn a series of descent directions by multiple cascaded regressors se…

cs.CV2018★ 23 cited

Multi-Scale Structure-Aware Network for Human Pose Estimation

Lipeng Ke, Ming-Ching Chang, Honggang Qi +1

We develop a robust multi-scale structure-aware neural network for human pose estimation. This method improves the recent deep conv-deconv hourglass models with four key improvemen…

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