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Runmin Zhang

15 papers hereh-index 8168 citations22 works total

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

author position
  • first author4
  • middle author9
  • last author1

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • eess.IV1
same name
  • Runmin Zhang — 2 papers, h 10

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
20212026
most citedRethinking Early-Fusion Strategies for Improved Multispectral Object Detection

43 citations · 47 across the 12 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency Constraint

Runmin Zhang, Jialiang Wang, Si-Yuan Cao +4

This work presents DCFlow, a novel unsupervised cross-modal flow estimation framework that integrates a decoupled optimization strategy and a cross-modal consistency constraint. Un…

cs.CV2025

EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration

Haokai Zhu, Bo Qu, Si-Yuan Cao +4

Previous deep image registration methods that employ single homography, multi-grid homography, or thin-plate spline often struggle with real scenes containing depth disparities due…

cs.CV2025

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction

Runmin Zhang, Zhu Yu, Si-Yuan Cao +4

This work presents SGCDet, a novel multi-view indoor 3D object detection framework based on adaptive 3D volume construction. Unlike previous approaches that restrict the receptive…

cs.CV2025

Structure-Aware Radar-Camera Depth Estimation

Fuyi Zhang, Zhu Yu, Chunhao Li +6

Radar has gained much attention in autonomous driving due to its accessibility and robustness. However, its standalone application for depth perception is constrained by issues of…

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