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Hongbin Liu

4 papers hereh-index 454 citations6 works total

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

author position
  • last author4

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

fields
  • cs.CV4
same name
  • Hongbin Liu — 20 papers, h 11
  • Hongbin Liu — 18 papers, h 32
  • Hongbin Liu — 13 papers, h 9
  • Hongbin Liu — 12 papers, h 6
  • Hongbin Liu — 12 papers, h 3
  • Hongbin Liu — 8 papers, h 41

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
20232026
most citedLEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds

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

collaborators

4 papers

cs.CV2026

LP-LLM: End-to-End Real-World Degraded License Plate Text Recognition via Large Multimodal Models

Haoyan Gong, Hongbin Liu

Real-world License Plate Recognition (LPR) faces significant challenges from severe degradations such as motion blur, low resolution, and complex illumination. The prevailing "rest…

cs.CV2024

A Dataset and Model for Realistic License Plate Deblurring

Haoyan Gong, Yuzheng Feng, Zhenrong Zhang +4

Vehicle license plate recognition is a crucial task in intelligent traffic management systems. However, the challenge of achieving accurate recognition persists due to motion blur…

cs.CV2024

On the Federated Learning Framework for Cooperative Perception

Zhenrong Zhang, Jianan Liu, Xi Zhou +4

Cooperative perception is essential to enhance the efficiency and safety of future transportation systems, requiring extensive data sharing among vehicles on the road, which raises…

cs.CV2023★ 3 cited

LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds

Zhenrong Zhang, Jianan Liu, Yuxuan Xia +3

Online multi-object tracking (MOT) plays a pivotal role in autonomous systems. The state-of-the-art approaches usually employ a tracking-by-detection method, and data association p…

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