Qingqiu Huang

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 483 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 103 citations into it
• Artificial Intelligence — 51 citations into it
• Model Architectures — 11 citations into it
• Optimization & Training — 9 citations into it

Whom Qingqiu Huang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Tsung-Yi Lin
5. Alex Krizhevsky
6. Shaoqing Ren
7. Piotr Doll'ar
8. Andrew Zisserman
9. Yoshua Bengio
10. Yann LeCun

Who trusts Qingqiu Huang overall

1. Yanwei Li
2. Chengyao Wang

Papers from Qingqiu Huang's perspective

Ordered by how strongly the researchers Qingqiu 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
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

• MovieNet: A Holistic Dataset for Movie Understanding (2020) — 319 citations
• TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers (2022) — 996 citations
• Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets (2020) — 299 citations