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Wei Feng

6 papers hereh-index 10352 citations32 works total

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

author position
  • middle author4
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
same name
  • Wei Feng — 20 papers, h 34
  • Wei Feng — 8 papers
  • Wei Feng — 8 papers, h 5
  • Wei Feng — 7 papers, h 5
  • Wei Feng — 6 papers
  • Wei Feng — 5 papers, h 4

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

most citedExploring Example Influence in Continual Learning

15 citations · 23 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025★ 7 cited

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation

Xuzhi Wang, Wei Feng, Lingdong Kong +1

LiDAR semantic segmentation plays a vital role in autonomous driving. Existing voxel-based methods for LiDAR semantic segmentation apply uniform partition to the 3D LiDAR point clo…

cs.CV2025

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation

Hongmei Yin, Tingliang Feng, Fan Lyu +4

In this work, we focus on continual semantic segmentation (CSS), where segmentation networks are required to continuously learn new classes without erasing knowledge of previously…

cs.CV2025

Casual Inference via Style Bias Deconfounding for Domain Generalization

Jiaxi Li, Di Lin, Hao Chen +3

Deep neural networks (DNNs) often struggle with out-of-distribution data, limiting their reliability in diverse realworld applications. To address this issue, domain generalization…

cs.CV2022★ 1 cited

Multi-Label Continual Learning using Augmented Graph Convolutional Network

Kaile Du, Fan Lyu, Linyan Li +5

Multi-Label Continual Learning (MLCL) builds a class-incremental framework in a sequential multi-label image recognition data stream. The critical challenges of MLCL are the constr…

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