Zhuotao Tian
Computer Vision and Pattern Recognition · 2020–2023
A researcher in the Science corpus: 3 papers; trusts 415 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 146 citations into it
- Artificial Intelligence — 106 citations into it
- Model Architectures — 15 citations into it
- Media Technology — 8 citations into it
- Biophysics — 6 citations into it
Whom Zhuotao Tian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Andrew Zisserman
- Ilya Sutskever
Who trusts Zhuotao Tian overall
- Umberto Michieli
- Timo Lüddecke
- Juhong Min
- Chunbo Lang
- Gengwei Zhang
- Amir Bar
- Johan Edstedt
- Gen Li
- Malik Boudiaf
- Jiarui Xu
Papers from Zhuotao Tian's perspective
Ordered by how strongly the researchers Zhuotao Tian 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)
- 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
- Prior Guided Feature Enrichment Network for Few-Shot Segmentation (2020) — 723 citations
- LISA: Reasoning Segmentation via Large Language Model (2023) — 972 citations
- Generalized Few-shot Semantic Segmentation (2020) — 120 citations