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researcher

K. Man

8 papers hereh-index 8225 citations29 works total

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

author position
  • middle author7

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.RO1
same name
  • K. Man — 7 papers, h 8
  • K. Man — 1 paper, h 22
  • K. Man — 1 paper, h 3
  • K. Man — 1 paper, h 8

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
20232025
most citedExploring Radar Data Representations in Autonomous Driving: A Comprehensive Review

66 citations · 69 across the 8 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

4 papers · 2 filters

cs.CV2024★ 2 cited

UniBEVFusion: Unified Radar-Vision BEVFusion for 3D Object Detection

Haocheng Zhao, Runwei Guan, Taoyu Wu +3

4D millimeter-wave (MMW) radar, which provides both height information and dense point cloud data over 3D MMW radar, has become increasingly popular in 3D object detection. In rece…

cs.CV2024

NanoMVG: USV-Centric Low-Power Multi-Task Visual Grounding based on Prompt-Guided Camera and 4D mmWave Radar

Runwei Guan, Jianan Liu, Liye Jia +7

Recently, visual grounding and multi-sensors setting have been incorporated into perception system for terrestrial autonomous driving systems and Unmanned Surface Vehicles (USVs),…

cs.CV2024

Referring Flexible Image Restoration

Runwei Guan, Rongsheng Hu, Zhuhao Zhou +6

In reality, images often exhibit multiple degradations, such as rain and fog at night (triple degradations). However, in many cases, individuals may not want to remove all degradat…

cs.CV2024

WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar

Runwei Guan, Liye Jia, Fengyufan Yang +8

The perception of waterways based on human intent is significant for autonomous navigation and operations of Unmanned Surface Vehicles (USVs) in water environments. Inspired by vis…

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