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Xinxin Wang

4 papers hereh-index 6698 citations10 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
  • Xinxin Wang — 5 papers, h 12
  • Xinxin Wang — 4 papers, h 3
  • Xinxin Wang — 3 papers, h 3
  • Xinxin Wang — 3 papers, h 4
  • Xinxin Wang — 2 papers, h 3
  • Xinxin Wang — 2 papers, h 0

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
20212025
most citedPP-YOLOE: An evolved version of YOLO

226 citations · 336 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Dynamic Contrastive Learning for Hierarchical Retrieval: A Case Study of Distance-Aware Cross-View Geo-Localization

Suofei Zhang, Xinxin Wang, Xiaofu Wu +2

Existing deep learning-based cross-view geo-localization methods primarily focus on improving the accuracy of cross-domain image matching, rather than enabling models to comprehens…

cs.CV2022★ 17 cited

PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector

Xinxin Wang, Guanzhong Wang, Qingqing Dang +3

Arbitrary-oriented object detection is a fundamental task in visual scenes involving aerial images and scene text. In this report, we present PP-YOLOE-R, an efficient anchor-free r…

cs.CV2022★ 226 cited

PP-YOLOE: An evolved version of YOLO

Shangliang Xu, Xinxin Wang, Wenyu Lv +8

In this report, we present PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment. We optimize on the basis of the previous PP-YOLOv…

cs.CV2021★ 93 cited

PP-YOLOv2: A Practical Object Detector

Xin Huang, Xinxin Wang, Wenyu Lv +10

Being effective and efficient is essential to an object detector for practical use. To meet these two concerns, we comprehensively evaluate a collection of existing refinements to…

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