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Sibo Wang

The Chinese University of Hong Kong

13 papers hereh-index 272.1k citations46 works total

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

author position
  • first author2
  • middle author8
  • last author3

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.DS4
  • cs.CV3
  • cs.LG2
  • cs.SI2
  • cs.DB1
  • cs.RO1
affiliations
  • The Chinese University of Hong Kong
HomepageORCID 0000-0003-1892-6971
same name
  • Sibo Wang — 8 papers, h 7
  • Sibo Wang — 6 papers
  • Sibo Wang — 5 papers, h 6
  • Sibo Wang — 3 papers, h 1
  • Sibo Wang — 2 papers
  • Sibo Wang — 2 papers, 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
20192024
most citedPersonalized PageRank to a Target Node, Revisited

51 citations · 204 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2024

From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking

Xiaohao Xu, Tianyi Zhang, Sibo Wang +6

Embodied agents require robust navigation systems to operate in unstructured environments, making the robustness of Simultaneous Localization and Mapping (SLAM) models critical to…

cs.CV2024★ 1 cited

Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness

Sibo Wang, Jie Zhang, Zheng Yuan +1

Large-scale pre-trained vision-language models like CLIP have demonstrated impressive performance across various tasks, and exhibit remarkable zero-shot generalization capability,…

cs.CV2021★ 11 cited

A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer

Weijia Wu, Yuanqiang Cai, Debing Zhang +5

Most existing video text spotting benchmarks focus on evaluating a single language and scenario with limited data. In this work, we introduce a large-scale, Bilingual, Open World V…

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