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Feng Wen

10 papers hereh-index 11671 citations24 works total

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

author position
  • middle author8
  • last author1

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.RO1
same name
  • Feng Wen — 5 papers, h 2
  • Feng Wen — 3 papers, h 3
  • Feng Wen — 1 paper, h 8
  • Feng Wen — 1 paper, h 3
  • Feng Wen — 1 paper, h 2
  • Feng Wen — 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
20202024
most citedHybridPoint: Point Cloud Registration Based on Hybrid Point Sampling and Matching

8 citations · 24 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation

Junyu Zhu, Lina Liu, Yu Tang +3

Visual bird's eye view (BEV) semantic segmentation helps autonomous vehicles understand the surrounding environment only from images, including static elements (e.g., roads) and dy…

cs.CV2023★ 8 cited

HybridPoint: Point Cloud Registration Based on Hybrid Point Sampling and Matching

Yiheng Li, Canhui Tang, Runzhao Yao +3

Patch-to-point matching has become a robust way of point cloud registration. However, previous patch-matching methods employ superpoints with poor localization precision as nodes,…

cs.CV2023

Graph-based Topology Reasoning for Driving Scenes

Tianyu Li, Li Chen, Huijie Wang +10

Understanding the road genome is essential to realize autonomous driving. This highly intelligent problem contains two aspects - the connection relationship of lanes, and the assig…

cs.CV2023

FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation

Junyu Zhu, Lina Liu, Yong Liu +3

The great potential of unsupervised monocular depth estimation has been demonstrated by many works due to low annotation cost and impressive accuracy comparable to supervised metho…

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