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Xinzhong Zhu

10 papers hereh-index 9722 citations74 works total

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

author position
  • middle author5
  • last author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.LG1
same name
  • Xinzhong Zhu — 5 papers, h 2
  • Xinzhong Zhu — 2 papers, h 28
  • Xinzhong Zhu — 1 paper, h 8
  • Xinzhong Zhu — 1 paper
  • Xinzhong Zhu — 1 paper, h 2

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
20242026
most citedMamba YOLO: A Simple Baseline for Object Detection with State Space Model

41 citations · 51 across the 8 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

4 papers · 2 filters

cs.CV2025

Point Cloud Quantization through Multimodal Prompting for 3D Understanding

Hongxuan Li, Wencheng Zhu, Huiying Xu +2

Vector quantization has emerged as a powerful tool in large-scale multimodal models, unifying heterogeneous representations through discrete token encoding. However, its effectiven…

cs.CV2025

Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts

Chen Li, Huiying Xu, Changxin Gao +3

Single-source Domain Generalized Object Detection (SDGOD), as a cutting-edge research topic in computer vision, aims to enhance model generalization capability in unseen target dom…

cs.CV2025

Center-Oriented Prototype Contrastive Clustering

Shihao Dong, Xiaotong Zhou, Yuhui Zheng +2

Contrastive learning is widely used in clustering tasks due to its discriminative representation. However, the conflict problem between classes is difficult to solve effectively. E…

cs.CV2025

Multi-view Clustering via Bi-level Decoupling and Consistency Learning

Shihao Dong, Yuhui Zheng, Huiying Xu +1

Multi-view clustering has shown to be an effective method for analyzing underlying patterns in multi-view data. The performance of clustering can be improved by learning the consis…

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