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Jianlin Zhang

4 papers hereh-index 16880 citations78 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Jianlin Zhang — 2 papers, h 4
  • Jianlin Zhang — 2 papers, h 5
  • Jianlin Zhang — 1 paper
  • Jianlin Zhang — 1 paper, h 2
  • Jianlin Zhang — 1 paper, h 2
  • Jianlin Zhang — 1 paper, h 3

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
20192023
most citedRevisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric

14 citations · 25 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 9 cited

AMD-HookNet for Glacier Front Segmentation

Fei Wu, Nora Gourmelon, Thorsten Seehaus +4

Knowledge on changes in glacier calving front positions is important for assessing the status of glaciers. Remote sensing imagery provides the ideal database for monitoring calving…

cs.CV2022★ 14 cited

Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric

Chuanming Tang, Xiao Wang, Ju Huang +5

Combining the Color and Event cameras (also called Dynamic Vision Sensors, DVS) for robust object tracking is a newly emerging research topic in recent years. Existing color-event…

cs.CV2022★ 1 cited

Learning Spatial-Frequency Transformer for Visual Object Tracking

Chuanming Tang, Xiao Wang, Yuanchao Bai +3

Recent trackers adopt the Transformer to combine or replace the widely used ResNet as their new backbone network. Although their trackers work well in regular scenarios, however, t…

cs.CV2019★ 1 cited

SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking

Qintao Hu, Lijun Zhou, Xiaoxiao Wang +3

Modern visual trackers usually construct online learning models under the assumption that the feature response has a Gaussian distribution with target-centered peak response. Never…

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