Chenfeng Xu
Computer Vision and Pattern Recognition · 2020–2023
A researcher in the Science corpus: 4 papers; trusts 274 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 181 citations into it
- Artificial Intelligence — 119 citations into it
- Model Architectures — 32 citations into it
- Efficiency & Compression — 31 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Chenfeng Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Bichen Wu
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Karen Simonyan
Who trusts Chenfeng Xu overall
Papers from Chenfeng Xu's perspective
Ordered by how strongly the researchers Chenfeng Xu 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Visual Transformers: Token-based Image Representation and Processing for Computer Vision (2020) — 755 citations
- Sparse R-CNN: End-to-End Object Detection with Learnable Proposals (2020) — 1,499 citations
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 (2023) — 1,105 citations
- SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation (2020) — 449 citations