Zhou Ren

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 12 papers; trusts 1,180 researchers and is trusted by 81 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 312 citations into it; #3,554 of 21,575 by trust here, #2,792 by citations
• Artificial Intelligence — 199 citations into it; #7,669 of 35,345 by trust here, #5,153 by citations
• Safety, Robustness & Interpretability — 67 citations into it; #597 of 2,251 by trust here, #656 by citations
• Natural Language Processing — 64 citations into it
• Model Architectures — 53 citations into it; #1,816 of 2,278 by trust here, #2,111 by citations
• Multimodal Learning — 44 citations into it
• Evaluation & Benchmarks — 27 citations into it
• Human-Computer Interaction — 26 citations into it; #460 of 2,253 by trust here, #487 by citations

Whom Zhou Ren trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ross B. Girshick
6. Diederik P. Kingma
7. Ilya Sutskever
8. Christian Szegedy
9. Karen Simonyan
10. Yann LeCun

Who trusts Zhou Ren overall

1. Junsong Yuan
2. Hong Cheng
3. Sergio Escalera
4. Md. Zakir Hossain
5. P. PramodKumar
6. Liuhao Ge
7. Jesus Suarez
8. Bairui Wang
9. Sheng Liu
10. Alexey Kurakin

Papers from Zhou Ren's perspective

Ordered by how strongly the researchers Zhou Ren 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Mitigating adversarial effects through randomization (2017) — 1,213 citations
• 3D Hand Shape and Pose Estimation From a Single RGB Image (2019) — 504 citations
• Deep Reinforcement Learning-Based Image Captioning with Embedding Reward (2017) — 339 citations
• Joint Image-Text Representation by Gaussian Visual-Semantic Embedding (2016) — 54 citations
• Improving Transferability of Adversarial Examples With Input Diversity (2018) — 1,463 citations
• Deep Regionlets for Object Detection (2017) — 67 citations
• SibNet: Sibling Convolutional Encoder for Video Captioning (2018) — 148 citations
• ABD-Net: Attentive but Diverse Person Re-Identification (2019) — 555 citations
• Robust hand gesture recognition based on finger-earth mover's distance with a commodity depth camera (2011) — 453 citations
• Adversarial Attacks and Defences Competition (2018) — 353 citations
• Robust Part-Based Hand Gesture Recognition Using Kinect Sensor (2013) — 734 citations
• Robust hand gesture recognition with kinect sensor (2011) — 321 citations