Anpei Chen
Computer Vision and Pattern Recognition · 2020–2024
A researcher in the Science corpus: 6 papers; trusts 433 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 182 citations into it; #21,407 of 21,575 by trust here, #9,722 by citations
- Computer Graphics and Computer-Aided Design — 111 citations into it; #1,340 of 1,584 by trust here, #447 by citations
- Computational Mechanics — 85 citations into it; #8,626 of 10,001 by trust here, #1,985 by citations
- Generative Models — 54 citations into it
- 3D Vision & Pose — 47 citations into it
- Artificial Intelligence — 14 citations into it
- Media Technology — 7 citations into it
- Optimization & Training — 6 citations into it
Whom Anpei Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Tero Karras
- Geoffrey E. Hinton
- Lars M. Mescheder
- Jimmy Ba
- Alex Krizhevsky
- Karen Simonyan
- Kaiming He
- Yoshua Bengio
- Yann LeCun
Who trusts Anpei Chen overall
- Minghua Liu
- Chandan Yeshwanth
- Kai Zhang
- Weihao Xia
- Ang Cao
- Jiahe Li
- Zexiang Xu
- Zhiwen Fan
- Antoine Guédon
- Jiawei Yang
Papers from Anpei Chen's perspective
Ordered by how strongly the researchers Anpei Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo (2021) — 1,072 citations
- SofGAN: A Portrait Image Generator with Dynamic Styling (2020) — 93 citations
- 2D Gaussian Splatting for Geometrically Accurate Radiance Fields (2024) — 1,465 citations
- Mip-Splatting: Alias-Free 3D Gaussian Splatting (2023) — 860 citations
- TensoRF: Tensorial Radiance Fields (2022) — 1,785 citations
- A Free Viewpoint Portrait Generator with Dynamic Styling (2020) — 8 citations