Bo Jiang

Computer Vision and Pattern Recognition · with Wu · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 242 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 111 citations into it
• Artificial Intelligence — 56 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Graph Learning — 15 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 10 citations into it

Whom Bo Jiang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yann LeCun
6. Jimmy Ba
7. Kaiming He
8. Xavier Glorot
9. Ilya Sutskever
10. Max Welling

Who trusts Bo Jiang overall

1. Yanbei Chen
2. Wei Jin
3. Wentao Zhang
4. Massimiliano Mancini

Papers from Bo Jiang's perspective

Ordered by how strongly the researchers Bo Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark (2021) — 297 citations
• Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning (2021) — 13 citations
• D2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios (2019) — 89 citations
• Semi-Supervised Learning With Graph Learning-Convolutional Networks (2019) — 452 citations