Yifan Sun

Computer Vision and Pattern Recognition · European Conference on Computer Vision · 2011–2023

A researcher in the Science corpus: 12 papers; trusts 802 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 220 citations into it; #3,850 of 21,575 by trust here, #3,186 by citations
• Artificial Intelligence — 102 citations into it; #13,901 of 35,345 by trust here, #11,490 by citations
• Computer Networks and Communications — 41 citations into it
• Biomedical Engineering — 37 citations into it; #3,128 of 10,734 by trust here, #3,989 by citations
• Computational Mechanics — 37 citations into it; #2,488 of 10,001 by trust here, #1,816 by citations
• Signal Processing — 31 citations into it
• Representation & Self-Supervised Learning — 29 citations into it
• Model Architectures — 18 citations into it

Whom Yifan Sun trusts overall

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

1. Liang Zheng
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yann LeCun
6. Karen Simonyan
7. Ross B. Girshick
8. Pedro F. Felzenszwalb
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Yifan Sun overall

1. Mang Ye
2. Liang Zheng
3. Yi Yang
4. Zhedong Zheng
5. Zhun Zhong
6. Deepesh Data
7. Guan'an Wang
8. Xiatian Zhu
9. Xiangyuan Lan
10. Yang Fu

Papers from Yifan Sun's perspective

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

Their papers

• MARS: A Video Benchmark for Large-Scale Person Re-Identification (2016) — 1,076 citations
• Beyond Part Models: Person Retrieval with Refined Part Pooling (2017) — 2,405 citations
• SVDNet for Pedestrian Retrieval (2017) — 798 citations
• Circle Loss: A Unified Perspective of Pair Similarity Optimization (2020) — 1,036 citations
• Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification (2019) — 333 citations
• Statistical physics-based reconstruction in compressed sensing (2011) — 318 citations
• A Unified Continual Learning Framework with General Parameter-Efficient Tuning (2023) — 161 citations
• Summarizing CPU and GPU Design Trends with Product Data (2019) — 108 citations
• Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning (2018) — 55 citations
• Straggler Mitigation in Distributed Optimization Through Data Encoding (2017) — 155 citations
• Encoded distributed optimization (2017) — 53 citations
• Probabilistic reconstruction in compressed sensing: algorithms, phase diagrams, and threshold achieving matrices (2012) — 298 citations