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Xingping Dong

11 papers hereh-index 243.3k citations39 works total

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

author position
  • first author4
  • middle author7

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.LG1
same name
  • Xingping Dong — 7 papers, h 2
  • Xingping Dong — 2 papers, h 1
  • Xingping Dong — 1 paper, h 4

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
20172025
most citedQuadruplet Network with One-Shot Learning for Fast Visual Object Tracking

167 citations · 383 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 6 cited

TextFormer: A Query-based End-to-End Text Spotter with Mixed Supervision

Yukun Zhai, Xiaoqiang Zhang, Xiameng Qin +3

End-to-end text spotting is a vital computer vision task that aims to integrate scene text detection and recognition into a unified framework. Typical methods heavily rely on Regio…

cs.CV2023

Referring Multi-Object Tracking

Dongming Wu, Wencheng Han, Tiancai Wang +3

Existing referring understanding tasks tend to involve the detection of a single text-referred object. In this paper, we propose a new and general referring understanding task, ter…

cs.CV2023★ 3 cited

Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving

Jiawei Liu, Xingping Dong, Sanyuan Zhao +1

Recent years have witnessed huge successes in 3D object detection to recognize common objects for autonomous driving (e.g., vehicles and pedestrians). However, most methods rely he…

cs.CV2023★ 50 cited

Adaptive Siamese Tracking with a Compact Latent Network

Xingping Dong, Jianbing Shen, Fatih Porikli +2

In this paper, we provide an intuitive viewing to simplify the Siamese-based trackers by converting the tracking task to a classification. Under this viewing, we perform an in-dept…

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