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Duoqian Miao

4 papers hereh-index 498.6k citations305 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV2
  • cs.AI1
  • cs.LG1
same name
  • Duoqian Miao — 13 papers, h 11
  • Duoqian Miao — 2 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 citedControl Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression

12 citations · 22 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021★ 12 cited

Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression

Dong Chen, Duoqian Miao

Numerous improvements for feedback mechanisms have contributed to the great progress in object detection. In this paper, we first present an evaluation-feedback module, which is pr…

cs.CV2021★ 1 cited

Sequential End-to-end Network for Efficient Person Search

Zhengjia Li, Duoqian Miao

Person search aims at jointly solving Person Detection and Person Re-identification (re-ID). Existing works have designed end-to-end networks based on Faster R-CNN. However, due to…

cs.AI2021★ 1 cited

Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels

Can Gao, Jie Zhoua, Duoqian Miao +2

Attribute reduction is one of the most important research topics in the theory of rough sets, and many rough sets-based attribute reduction methods have thus been presented. Howeve…

cs.LG2019★ 8 cited

Hierarchical Attention Generative Adversarial Networks for Cross-domain Sentiment Classification

Yuebing Zhang, Duoqian Miao, Jiaqi Wang

Cross-domain sentiment classification (CDSC) is an importance task in domain adaptation and sentiment classification. Due to the domain discrepancy, a sentiment classifier trained…

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