Honggang Qi

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 11 papers; trusts 1,247 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 400 citations into it; #8,027 of 21,575 by trust here, #2,594 by citations
• Artificial Intelligence — 158 citations into it
• Aerospace Engineering — 41 citations into it
• Model Architectures — 39 citations into it
• Evaluation & Benchmarks — 32 citations into it
• Optimization & Training — 20 citations into it
• Biomedical Engineering — 19 citations into it
• Environmental Engineering — 13 citations into it

Whom Honggang Qi 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. Diederik P. Kingma
8. Yann LeCun
9. Andrew Zisserman
10. Yoshua Bengio

Who trusts Honggang Qi overall

1. Luisa Verdoliva
2. Brian Dolhansky
3. Ke Sun
4. Juan R. Terven
5. Ruyi Ji
6. Rubén Tolosana
7. Zhi Tian
8. Jingdong Wang

Papers from Honggang Qi's perspective

Ordered by how strongly the researchers Honggang Qi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• CenterNet: Keypoint Triplets for Object Detection (2019) — 3,464 citations
• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking (2015) — 749 citations
• Multi-Scale Structure-Aware Network for Human Pose Estimation (2018) — 298 citations
• Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics (2019) — 1,748 citations
• Celeb-DF: A New Dataset for DeepFake Forensics (2019) — 211 citations
• Corner Proposal Network for Anchor-free, Two-stage Object Detection (2020) — 117 citations
• VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results (2019) — 1,010 citations
• The importance of short lag-time in the runoff forecasting model based on long short-term memory (2020) — 81 citations
• See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification (2019) — 268 citations
• DETRAC: A New Benchmark and Protocol for Multi-Object Tracking (2015) — 63 citations