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Xianxian Li

4 papers hereh-index 141.3k citations32 works total

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

author position
  • middle author2
  • last author1

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

fields
  • cs.CV2
  • cs.CR1
  • cs.IT1
same name
  • Xianxian Li — 10 papers, h 5
  • Xianxian Li — 6 papers
  • Xianxian Li — 2 papers, h 10
  • Xianxian Li — 2 papers, h 7
  • Xianxian Li — 1 paper, h 3
  • Xianxian Li — 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
20212025
most citedLearning to Filter: Siamese Relation Network for Robust Tracking

4 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Towards Universal Modal Tracking with Online Dense Temporal Token Learning

Yaozong Zheng, Bineng Zhong, Qihua Liang +4

We propose a universal video-level modality-awareness tracking model with online dense temporal token learning (called {\modaltracker}). It is designed to support various tracking…

cs.CR2024

SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle

Youquan Xian, Xueying Zeng, Chunpei Li +4

In recent years, blockchain oracle, as the key link between blockchain and real-world data interaction, has greatly expanded the application scope of blockchain. In particular, the…

cs.IT2022

Multi-access Coded Caching with Optimal Rate and Linear Subpacketization under PDA and Consecutive Cyclic Placement

Jinyu Wang, Minquan Cheng, Youlong Wu

This work considers the multi-access caching system proposed by Hachem et al., where each user has access to L neighboring caches in a cyclic wrap-around fashion. We first propose…

cs.CV2021★ 4 cited

Learning to Filter: Siamese Relation Network for Robust Tracking

Siyuan Cheng, Bineng Zhong, Guorong Li +4

Despite the great success of Siamese-based trackers, their performance under complicated scenarios is still not satisfying, especially when there are distractors. To this end, we p…

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