Jianfeng Feng
Computer Vision and Pattern Recognition · with Zheng · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 263 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 72 citations into it; #21,434 of 21,575 by trust here, #3,659 by citations
- Artificial Intelligence — 49 citations into it; #28,866 of 35,345 by trust here, #4,797 by citations
- Representation & Self-Supervised Learning — 6 citations into it
- Computer Networks and Communications — 5 citations into it; #7,914 of 9,886 by trust here, #9,518 by citations
Whom Jianfeng Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- João Carreira
- Andrew Zisserman
- Dong-Hyun Lee
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Yang Zou
- L. V. D. van der Maaten
- Karen Simonyan
Who trusts Jianfeng Feng overall
Papers from Jianfeng Feng's perspective
Ordered by how strongly the researchers Jianfeng Feng 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)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers (2020) — 3,740 citations
- MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection (2021) — 368 citations