Tengteng Huang

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 642 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 136 citations into it; #20,228 of 21,575 by trust here, #7,092 by citations
• Artificial Intelligence — 39 citations into it
• Aerospace Engineering — 36 citations into it
• Model Architectures — 17 citations into it
• Environmental Engineering — 14 citations into it
• Computational Mechanics — 13 citations into it
• Geology — 13 citations into it
• 3D Vision & Pose — 10 citations into it

Whom Tengteng Huang trusts overall

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

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

Who trusts Tengteng Huang overall

1. Chunwei Wang
2. Yukang Chen
3. Jian Zhao
4. Tingting Liang
5. Yanwei Li
6. Yingwei Li
7. Yisroel Mirsky
8. Wu Zheng
9. Chao Ma

Papers from Tengteng Huang's perspective

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

Their papers

• Asymmetric Non-Local Neural Networks for Semantic Segmentation (2019) — 705 citations
• EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection (2020) — 490 citations
• TANet: Robust 3D Object Detection from Point Clouds with Triple Attention (2019) — 422 citations
• Progressive Pose Attention Transfer for Person Image Generation (2019) — 356 citations