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Chong Liu

3 papers hereh-index 5206 citations7 works total

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

author position
  • first author1
  • middle author2

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

fields
  • cs.CV3
same name
  • Chong Liu — 11 papers, h 16
  • Chong Liu — 7 papers, h 8
  • Chong Liu — 6 papers, h 16
  • Chong Liu — 6 papers, h 3
  • Chong Liu — 5 papers, h 14
  • Chong Liu — 5 papers, 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

most citedAn Empirical Study of Vehicle Re-Identification on the AI City Challenge

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Graph Convolution Based Efficient Re-Ranking for Visual Retrieval

Yuqi Zhang, Qi Qian, Hongsong Wang +3

Visual retrieval tasks such as image retrieval and person re-identification (Re-ID) aim at effectively and thoroughly searching images with similar content or the same identity. Af…

cs.CV2023

Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training

Chong Liu, Yuqi Zhang, Hongsong Wang +5

Image-text retrieval is a central problem for understanding the semantic relationship between vision and language, and serves as the basis for various visual and language tasks. Mo…

cs.CV2021★ 1 cited

An Empirical Study of Vehicle Re-Identification on the AI City Challenge

Hao Luo, Weihua Chen, Xianzhe Xu +7

This paper introduces our solution for the Track2 in AI City Challenge 2021 (AICITY21). The Track2 is a vehicle re-identification (ReID) task with both the real-world data and synt…

cs.CV2021

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones

Chong Liu, Yuqi Zhang, Hao Luo +6

Multi-Target Multi-Camera Tracking has a wide range of applications and is the basis for many advanced inferences and predictions. This paper describes our solution to the Track 3…

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