Jingwei Huang

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 196 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 87 citations into it
• Aerospace Engineering — 41 citations into it
• Computational Mechanics — 39 citations into it; #5,060 of 10,001 by trust here, #2,509 by citations
• 3D Vision & Pose — 38 citations into it
• Computer Graphics and Computer-Aided Design — 18 citations into it; #821 of 1,584 by trust here, #526 by citations
• Artificial Intelligence — 11 citations into it
• Model Architectures — 11 citations into it

Whom Jingwei Huang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Yann LeCun
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Shaoqing Ren
7. Yoshua Bengio
8. Diederik P. Kingma
9. Tsung-Yi Lin
10. Ilya Sutskever

Who trusts Jingwei Huang overall

1. Mateusz Michalkiewicz
2. Songyou Peng
3. Jhony Kaesemodel Pontes
4. Chiyu "Max" Jiang
5. Fanbo Xiang
6. Dominic Jack
7. Kaichun Mo
8. Mahsa Baktash

Papers from Jingwei Huang's perspective

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

• Local Implicit Grid Representations for 3D Scenes (2020) — 622 citations
• Spherical CNNs on Unstructured Grids (2019) — 204 citations
• Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation (2019) — 913 citations
• Robust Watertight Manifold Surface Generation Method for ShapeNet Models (2018) — 155 citations