Yifan Feng
Computer Vision and Pattern Recognition · 2018–2024
A researcher in the Science corpus: 8 papers; trusts 370 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 112 citations into it; #17,945 of 21,575 by trust here, #10,154 by citations
- Artificial Intelligence — 59 citations into it; #34,601 of 35,345 by trust here, #14,181 by citations
- Computational Mechanics — 42 citations into it; #8,419 of 10,001 by trust here, #3,652 by citations
- Graph Learning — 33 citations into it
- Geology — 25 citations into it; #567 of 687 by trust here, #392 by citations
- Aerospace Engineering — 22 citations into it
- Model Architectures — 21 citations into it
- 3D Vision & Pose — 10 citations into it
Whom Yifan Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
- Andrew Zisserman
Who trusts Yifan Feng overall
- Yue Gao
- Renrui Zhang
- Haoxuan You
- Yongcheng Liu
- Song Bai
- Naganand Yadati
- Yulan Guo
- Shiwen Wu
- Rongrong Ji
- Chenggang Clarence Yan
Papers from Yifan Feng's perspective
Ordered by how strongly the researchers Yifan Feng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition (2018) — 623 citations
- Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation (2024) — 332 citations
- HGNN+: General Hypergraph Neural Networks (2022) — 444 citations
- Physiological Signals-based Emotion Recognition via High-order Correlation Learning (2019) — 17 citations
- Dynamic Hypergraph Neural Networks (2019) — 429 citations
- PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition (2018) — 191 citations
- MeshNet: Mesh Neural Network for 3D Shape Representation (2018) — 367 citations
- Hypergraph Neural Networks (2018) — 2,070 citations