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Xing Wei

4 papers hereh-index 8293 citations12 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV4
same name
  • Xing Wei — 11 papers, h 10
  • Xing Wei — 11 papers, h 9
  • Xing Wei — 8 papers, h 2
  • Xing Wei — 7 papers, h 24
  • Xing Wei — 6 papers, h 4
  • Xing Wei — 4 papers, h 11

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
20232025
most citedProjecting Points to Axes: Oriented Object Detection via Point-Axis Representation

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

collaborators

4 papers

cs.CV2025

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning

Chenhao Ding, Songlin Dong, Zhengdong Zhou +4

Current research on class-incremental learning primarily focuses on single-label classification tasks. However, real-world applications often involve multi-label scenarios, such as…

cs.CV2024★ 1 cited

Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation

Zeyang Zhao, Qilong Xue, Yuhang He +3

This paper introduces the point-axis representation for oriented object detection, emphasizing its flexibility and geometrically intuitive nature with two key components: points an…

cs.CV2024

Few-shot Online Anomaly Detection and Segmentation

Shenxing Wei, Xing Wei, Zhiheng Ma +3

Detecting anomaly patterns from images is a crucial artificial intelligence technique in industrial applications. Recent research in this domain has emphasized the necessity of a l…

cs.CV2023

ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe

Yifan Bai, Zeyang Zhao, Yihong Gong +1

We present ARTrackV2, which integrates two pivotal aspects of tracking: determining where to look (localization) and how to describe (appearance analysis) the target object across…

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