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Yifan Feng

13 papers hereh-index 174.9k citations43 works total

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

author position
  • first author8
  • middle author5

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG4
  • cs.AI2
  • cs.CL1
  • cs.DS1
  • cs.IR1
same name
  • Yifan Feng — 3 papers, h 4
  • Yifan Feng — 3 papers, h 4
  • Yifan Feng — 3 papers, h 2
  • Yifan Feng — 2 papers, h 2
  • Yifan Feng — 1 paper
  • Yifan Feng — 1 paper, h 5

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
20182026
most citedPVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition

33 citations · 71 across the 13 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 4 cited

PVRNet: Point-View Relation Neural Network for 3D Shape Recognition

Haoxuan You, Yifan Feng, Xibin Zhao +3

Three-dimensional (3D) shape recognition has drawn much research attention in the field of computer vision. The advances of deep learning encourage various deep models for 3D featu…

cs.CV2018★ 6 cited

MeshNet: Mesh Neural Network for 3D Shape Representation

Yutong Feng, Yifan Feng, Haoxuan You +2

Mesh is an important and powerful type of data for 3D shapes and widely studied in the field of computer vision and computer graphics. Regarding the task of 3D shape representation…

cs.LG2018★ 6 cited

Hypergraph Neural Networks

Yifan Feng, Haoxuan You, Zizhao Zhang +2

In this paper, we present a hypergraph neural networks (HGNN) framework for data representation learning, which can encode high-order data correlation in a hypergraph structure. Co…

cs.CV2018★ 33 cited

PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition

Haoxuan You, Yifan Feng, Rongrong Ji +1

3D object recognition has attracted wide research attention in the field of multimedia and computer vision. With the recent proliferation of deep learning, various deep models with…

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