Yuankai Qi

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 7 papers; trusts 639 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 263 citations into it; #13,374 of 21,575 by trust here, #3,426 by citations
• Artificial Intelligence — 109 citations into it; #31,500 of 35,345 by trust here, #18,586 by citations
• Natural Language Processing — 50 citations into it; #5,643 of 5,688 by trust here, #4,112 by citations
• Multimodal Learning — 48 citations into it; #709 of 1,211 by trust here, #736 by citations
• Aerospace Engineering — 31 citations into it
• Reinforcement Learning — 31 citations into it
• Model Architectures — 16 citations into it
• Optimization & Training — 11 citations into it

Whom Yuankai Qi trusts overall

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

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

Who trusts Yuankai Qi overall

1. Yicong Hong
2. Gengze Zhou
3. Ziyuan Huang
4. Shizhe Chen
5. Tianyu Yang
6. Qi Wu
7. Sangdoo Yun
8. Seyed Mojtaba Marvasti-Zadeh
9. Chen Gao
10. Mengmeng Wang

Papers from Yuankai Qi's perspective

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

Their papers

• The Visual Object Tracking VOT2014 Challenge Results (2014) — 512 citations
• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments (2019) — 506 citations
• The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking (2018) — 990 citations
• Hedged Deep Tracking (2016) — 677 citations
• VLN↻BERT: A Recurrent Vision-and-Language BERT for Navigation (2020) — 464 citations
• Language and Visual Entity Relationship Graph for Agent Navigation (2020) — 161 citations