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Lu Zhang

5 papers hereh-index 131k citations32 works total

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

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
same name
  • Lu Zhang — 18 papers, h 50
  • Lu Zhang — 14 papers, h 8
  • Lu Zhang — 13 papers, h 7
  • Lu Zhang — 8 papers, h 16
  • Lu Zhang — 7 papers, h 4
  • Lu Zhang — 7 papers, h 6

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
20192026
most citedWeakly Aligned Feature Fusion for Multimodal Object Detection

97 citations · 97 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Retrieving Any Relevant Moments: Benchmark and Models for Generalized Moment Retrieval

Yiming Ding, Siyu Cao, Luyuan Jiao +4

Video Moment Retrieval (VMR) aims to localize temporal segments in videos that correspond to a natural language query, but typically assumes only a single matching moment for each…

cs.CV2024

Boosting Open-Vocabulary Object Detection by Handling Background Samples

Ruizhe Zeng, Lu Zhang, Xu Yang +1

Open-vocabulary object detection is the task of accurately detecting objects from a candidate vocabulary list that includes both base and novel categories. Currently, numerous open…

cs.CV2022★ 97 cited

Weakly Aligned Feature Fusion for Multimodal Object Detection

Lu Zhang, Zhiyong Liu, Xiangyu Zhu +4

To achieve accurate and robust object detection in the real-world scenario, various forms of images are incorporated, such as color, thermal, and depth. However, multimodal data of…

cs.CV2019

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection

Lu Zhang, Xiangyu Zhu, Xiangyu Chen +3

Multispectral pedestrian detection has shown great advantages under poor illumination conditions, since the thermal modality provides complementary information for the color image.…

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