Xingyu Zeng

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 7 papers; trusts 855 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 295 citations into it; #9,425 of 21,575 by trust here, #3,810 by citations
• Artificial Intelligence — 128 citations into it
• Aerospace Engineering — 38 citations into it; #5,267 of 6,421 by trust here, #2,997 by citations
• Model Architectures — 26 citations into it
• Media Technology — 14 citations into it
• Optimization & Training — 6 citations into it

Whom Xingyu Zeng trusts overall

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

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

Who trusts Xingyu Zeng overall

1. Wanli Ouyang
2. Xiaogang Wang
3. Shaoshuai Shi
4. Kai Kang
5. Hongsheng Li
6. Spyros Gidaris
7. Rui Zhao

Papers from Xingyu Zeng's perspective

Ordered by how strongly the researchers Xingyu Zeng 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection (2014) — 165 citations
• DeepID-Net: Deformable deep convolutional neural networks for object detection (2014) — 450 citations
• T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos (2016) — 526 citations
• GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving (2019) — 351 citations
• Adapting Object Detectors with Conditional Domain Normalization (2020) — 100 citations
• Learning Deep Representation with Large-Scale Attributes (2015) — 23 citations
• DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks (2017) — 134 citations