Fuchun Sun

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2006–2021

A researcher in the Science corpus: 15 papers; trusts 1,160 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 278 citations into it; #5,842 of 21,575 by trust here, #3,251 by citations
• Artificial Intelligence — 146 citations into it
• Aerospace Engineering — 39 citations into it
• Control and Systems Engineering — 33 citations into it; #6,801 of 8,257 by trust here, #2,447 by citations
• Model Architectures — 22 citations into it
• Representation & Self-Supervised Learning — 22 citations into it
• Evaluation & Benchmarks — 20 citations into it
• Media Technology — 13 citations into it

Whom Fuchun Sun trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. David G. Lowe
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Karen Simonyan
7. Shaoqing Ren
8. Piotr Doll'ar
9. Andrew Zisserman
10. Tsung-Yi Lin

Who trusts Fuchun Sun overall

1. Shifeng Zhang
2. Tao Kong
3. Jiale Cao
4. Songtao Liu
5. Xiongwei Wu
6. Yanwei Pang
7. Abdul Mueed Hafiz
8. Seung-Wook Kim
9. Shengkai Wu
10. Chunlin Chen

Papers from Fuchun Sun's perspective

Ordered by how strongly the researchers Fuchun Sun 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. 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

• Deep Feature Pyramid Reconfiguration for Object Detection (2018) — 218 citations
• HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection (2016) — 853 citations
• RON: Reverse Connection with Objectness Prior Networks for Object Detection (2017) — 419 citations
• FoveaBox: Beyound Anchor-Based Object Detection (2019) — 774 citations
• A Survey on Deep Transfer Learning (2018) — 2,931 citations
• FoveaBox: Beyond Anchor-based Object Detector (2019) — 226 citations
• PointNetGPD: Detecting Grasp Configurations from Point Sets (2018) — 438 citations
• RGB-D action recognition using linear coding (2015) — 18 citations
• Embodied Semantic Scene Graph Generation (2021) — 37 citations
• Multi-agent Embodied Question Answering in Interactive Environments (2020) — 34 citations
• Scalable Gaussian Process Regression Using Deep Neural Networks (2015) — 70 citations
• Composite Neural Dynamic Surface Control of a Class of Uncertain Nonlinear Systems in Strict-Feedback Form (2014) — 364 citations
• Dynamic Surface Control of Constrained Hypersonic Flight Models with Parameter Estimation and Actuator Compensation (2014) — 240 citations
• Design of Hºº filter for Markov jumping linear systems with non-accessible mode information. (2008) — 73 citations
• Robust control of uncertain discrete-time Markovian jump systems with actuator saturation (2006) — 71 citations