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Weiping Wang

31 papers hereh-index 242.4k citations81 works total

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

author position
  • middle author6
  • last author23

Across the 29 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CV31
same name
  • Weiping Wang — 36 papers, h 21
  • Weiping Wang — 28 papers, h 14
  • Weiping Wang — 22 papers, h 6
  • Weiping Wang — 6 papers, h 16
  • Weiping Wang — 6 papers, h 6
  • Weiping Wang — 5 papers, h 2

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
20192024
most citedVideo Cloze Procedure for Self-Supervised Spatio-Temporal Learning

24 citations · 179 across the 31 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning

Yifei Zhang, Chang Liu, Yu Zhou +3

Contrastive self-supervised learning (CSL) based on instance discrimination typically attracts positive samples while repelling negatives to learn representations with pre-defined…

cs.CV2022

Handling Label Uncertainty for Camera Incremental Person Re-Identification

Zexian Yang, Dayan Wu, Wanqian Zhang +2

Incremental learning for person re-identification (ReID) aims to develop models that can be trained with a continuous data stream, which is a more practical setting for real-world…

cs.CV2022

UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection

Youhui Guo, Yu Zhou, Xugong Qin +2

Recent scene text detection methods are almost based on deep learning and data-driven. Synthetic data is commonly adopted for pre-training due to expensive annotation cost. However…

cs.CV2022★ 10 cited

Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering

Chengyang Fang, Gangyan Zeng, Yu Zhou +4

Texts in scene images convey critical information for scene understanding and reasoning. The abilities of reading and reasoning matter for the model in the text-based visual questi…

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