Haifeng Gong

Computer Vision and Pattern Recognition · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #10,133 of 21,575 by trust here, #13,815 by citations

Whom Haifeng Gong trusts overall

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

1. Song-Chun Zhu
2. Yoav Freund
3. Yann LeCun
4. Paul A. Viola
5. Stéphane Mallat
6. Maximilian Riesenhuber
7. Eran Borenstein

Who trusts Haifeng Gong overall

1. Zhangzhang Si
2. Song-Chun Zhu
3. Paulo Vinicius Koerich Borges
4. Jianwen Xie
5. Yang Lu
6. Jifeng Dai

Papers from Haifeng Gong's perspective

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

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

Their papers

• Learning Active Basis Model for Object Detection and Recognition (2010) — 182 citations
• Semantic event representation and recognition using syntactic attribute graph grammar (2009) — 45 citations