Fanyi Xiao

Computer Vision and Pattern Recognition · with Lee · 2016–2022

A researcher in the Science corpus: 8 papers; trusts 2,089 researchers and is trusted by 256 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 390 citations into it; #2,446 of 21,575 by trust here, #4,245 by citations
• Artificial Intelligence — 175 citations into it; #9,810 of 35,345 by trust here, #8,706 by citations
• Model Architectures — 43 citations into it
• Representation & Self-Supervised Learning — 37 citations into it; #2,650 of 3,145 by trust here, #2,516 by citations
• Evaluation & Benchmarks — 34 citations into it
• Aerospace Engineering — 20 citations into it
• Optimization & Training — 19 citations into it
• Multimodal Learning — 17 citations into it

Whom Fanyi Xiao trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Christian Szegedy
8. Yoshua Bengio
9. Ilya Sutskever
10. Shaoqing Ren

Who trusts Fanyi Xiao overall

1. Wenguan Wang
2. Krishna Kumar Singh
3. Vaishaal Shankar
4. Anna Khoreva
5. Yong Jae Lee
6. Ali Athar
7. Achal Dave
8. Fadime Sener
9. Daniel Bolya
10. Yanghao Li

Papers from Fanyi Xiao's perspective

Ordered by how strongly the researchers Fanyi Xiao 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. 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

• Audiovisual SlowFast Networks for Video Recognition (2020) — 256 citations
• YOLACT: Real-Time Instance Segmentation (2019) — 2,140 citations
• Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection (2016) — 68 citations
• Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals (2016) — 110 citations
• YOLACT++ Better Real-Time Instance Segmentation (2019) — 506 citations
• Delving Deeper into Anti-Aliasing in ConvNets (2020) — 148 citations
• Video Object Detection with an Aligned Spatial-Temporal Memory (2017) — 201 citations
• 3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding (2022) — 7 citations