Botian Shi
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 300 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 90 citations into it
- Artificial Intelligence — 56 citations into it
- Model Architectures — 14 citations into it
- Optimization & Training — 5 citations into it
Whom Botian Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ilya Sutskever
- Karen Simonyan
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Ruslan Salakhutdinov
- Andrew Zisserman
Who trusts Botian Shi overall
- Haiwen Diao
- Antoine Yang
- Huaishao Luo
- Hui Chen
- Xiujun Li
- Rowan Zellers
- Paul Hongsuck Seo
- Arsha Nagrani
- Jack Hessel
- Ying Zhang
Papers from Botian Shi's perspective
Ordered by how strongly the researchers Botian Shi 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation (2020) — 412 citations
- Dense Procedure Captioning in Narrated Instructional Videos (2019) — 59 citations
- Knowledge Aware Semantic Concept Expansion for Image-Text Matching (2019) — 83 citations