Erjin Zhou

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 6 papers; trusts 428 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 139 citations into it; #12,457 of 21,575 by trust here, #5,013 by citations
• Artificial Intelligence — 58 citations into it
• Biomedical Engineering — 13 citations into it
• Signal Processing — 10 citations into it; #7,271 of 7,572 by trust here, #3,566 by citations
• Representation & Self-Supervised Learning — 6 citations into it

Whom Erjin Zhou trusts overall

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

1. Yi Sun
2. Xiaogang Wang
3. Xudong Cao
4. Xiaoou Tang
5. Kaiming He
6. Dong Chen
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Yann LeCun
10. Ross B. Girshick

Who trusts Erjin Zhou overall

1. Mei Wang
2. Ayush Kumar Tewari
3. Richard McPherson
4. Yue Wu
5. Amin Jourabloo
6. Xiangyu Zhu
7. Mason McGill
8. Mahmood Sharif
9. Jingtuo Liu
10. Christos Sagonas

Papers from Erjin Zhou's perspective

Ordered by how strongly the researchers Erjin Zhou 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not? (2015) — 198 citations
• Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade (2013) — 368 citations
• TokenPose: Learning Keypoint Tokens for Human Pose Estimation (2021) — 388 citations
• Going Deeper with Embedded FPGA Platform for Convolutional Neural Network (2016) — 1,200 citations
• High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification (2020) — 475 citations
• General Instance Distillation for Object Detection (2021) — 242 citations