Litong Feng
Computer Vision and Pattern Recognition · 2021–2022
A researcher in the Science corpus: 3 papers; trusts 349 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 96 citations into it
- Artificial Intelligence — 82 citations into it
- Representation & Self-Supervised Learning — 33 citations into it
- Safety, Robustness & Interpretability — 13 citations into it
- Optimization & Training — 9 citations into it
- Model Architectures — 7 citations into it
Whom Litong Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Dan Hendrycks
- Diederik P. Kingma
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
- Karen Simonyan
Who trusts Litong Feng overall
Papers from Litong Feng's perspective
Ordered by how strongly the researchers Litong 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- ViM: Out-Of-Distribution with Virtual-logit Matching (2022) — 549 citations
- Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation (2022) — 504 citations
- Semantically Coherent Out-of-Distribution Detection (2021) — 160 citations