Zhenfeng Zhu

Computer Vision and Pattern Recognition · 2010–2019

A researcher in the Science corpus: 4 papers; trusts 96 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 138 citations into it; #20,595 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 37 citations into it
• Model Architectures — 14 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Natural Language Processing — 6 citations into it
• Information Retrieval & Search — 5 citations into it

Whom Zhenfeng Zhu trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Thorsten Joachims
7. Kyunghyun Cho
8. Mark J van Rossum
9. Yann LeCun
10. Jimmy Ba

Who trusts Zhenfeng Zhu overall

1. Shiv Ram Dubey

Papers from Zhenfeng Zhu's perspective

Ordered by how strongly the researchers Zhenfeng Zhu 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Multimodal Fusion for Video Search Reranking (2010) — 86 citations
• Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study (2019) — 337 citations
• Cross-Modal Retrieval With CNN Visual Features: A New Baseline (2017) — 370 citations
• EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction (2018) — 448 citations