Futang Peng
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
- Optimization & Training — 6 citations into it
Whom Futang Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Futang Peng overall
Papers from Futang Peng's perspective
Ordered by how strongly the researchers Futang Peng trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Rethinking the Inception Architecture for Computer Vision
- Long Short-Term Memory
- 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
Their papers
- Graph-RISE: Graph-Regularized Image Semantic Embedding (2019) — 43 citations
- Ultra Fine-Grained Image Semantic Embedding (2020) — 23 citations