Tu Bui
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 137 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it; #9,550 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 14 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom Tu Bui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- David R Ha
- Christian Szegedy
- Alex Krizhevsky
- Andrew Zisserman
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Kaiming He
- Ian J. Goodfellow
Who trusts Tu Bui overall
- Ayan Kumar Bhunia
- Aneeshan Sain
- Tao A. Xiang
- Pinaki Nath Chowdhury
- Yi-Zhe Song
- Subhadeep Koley
- Yongxin Yang
- Leo Sampaio Ferraz Ribeiro
- Pradyumna Reddy
- Alexandre Carlier
Papers from Tu Bui's perspective
Ordered by how strongly the researchers Tu Bui trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Sketchformer: Transformer-Based Representation for Sketched Structure (2020) — 154 citations
- LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search (2019) — 62 citations