Xinxin Zuo

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 130 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it; #9,042 of 21,575 by trust here, #10,334 by citations
• Control and Systems Engineering — 16 citations into it; #2,491 of 8,257 by trust here, #2,004 by citations
• Generative Models — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Natural Language Processing — 13 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Xinxin Zuo trusts overall

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

1. Diederik P. Kingma
2. Oriol Vinyals
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Aäron van den Oord
7. Kaiming He
8. Ilya Sutskever
9. Yann LeCun
10. Chin-Yew Lin

Who trusts Xinxin Zuo overall

1. Chuan Guo
2. Guy Tevet
3. Biao Jiang
4. Mingyuan Zhang
5. Xin Chen
6. Jianrong Zhang
7. Mathis Petrovich
8. Ye Yuan
9. Yuxuan Mu
10. Brian Gordon

Papers from Xinxin Zuo's perspective

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

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

Their papers

• Action2Motion: Conditioned Generation of 3D Human Motions (2020) — 642 citations
• Generating Diverse and Natural 3D Human Motions from Text (2022) — 1,034 citations
• TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts (2022) — 433 citations