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Xiao Wang

11 papers hereh-index 131k citations26 works total

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

author position
  • first author7
  • middle author3
  • last author1

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

fields
  • cs.CV11
same name
  • Xiao Wang — 71 papers, h 66
  • Xiao Wang — 31 papers, h 35
  • Xiao Wang — 25 papers, h 18
  • Xiao Wang — 21 papers, h 6
  • Xiao Wang — 20 papers, h 38
  • Xiao Wang — 17 papers, h 7

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
20182023
most citedDense Feature Aggregation and Pruning for RGBT Tracking

185 citations · 260 across the 11 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

Tracking by Joint Local and Global Search: A Target-aware Attention based Approach

Xiao Wang, Jin Tang, Bin Luo +3

Tracking-by-detection is a very popular framework for single object tracking which attempts to search the target object within a local search window for each frame. Although such l…

cs.CV2021★ 1 cited

Guidance and Teaching Network for Video Salient Object Detection

Yingxia Jiao, Xiao Wang, Yu-Cheng Chou +4

Owing to the difficulties of mining spatial-temporal cues, the existing approaches for video salient object detection (VSOD) are limited in understanding complex and noisy scenario…

cs.CV2021★ 16 cited

Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark

Xiao Wang, Xiujun Shu, Zhipeng Zhang +4

Tracking by natural language specification is a new rising research topic that aims at locating the target object in the video sequence based on its language description. Compared…

cs.CV2021

Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking

Xiao Wang, Zhe Chen, Jin Tang +4

Most of the existing single object trackers track the target in a unitary local search window, making them particularly vulnerable to challenging factors such as heavy occlusions a…

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