Chi Su

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 10 papers; trusts 1,248 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 348 citations into it; #4,472 of 21,575 by trust here, #3,302 by citations
• Artificial Intelligence — 162 citations into it; #30,740 of 35,345 by trust here, #19,873 by citations
• Biomedical Engineering — 63 citations into it; #632 of 10,734 by trust here, #1,421 by citations
• Representation & Self-Supervised Learning — 51 citations into it; #2,882 of 3,145 by trust here, #2,691 by citations
• Model Architectures — 38 citations into it
• Optimization & Training — 20 citations into it
• Evaluation & Benchmarks — 17 citations into it
• Media Technology — 16 citations into it

Whom Chi Su trusts overall

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

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

Who trusts Chi Su overall

1. Liang Zheng
2. Zhedong Zheng
3. Yi Yang
4. Shiliang Zhang
5. Yifan Sun
6. Yutian Lin
7. Mang Ye
8. Weihua Chen
9. Longhui Wei
10. Qi Tian

Papers from Chi Su's perspective

Ordered by how strongly the researchers Chi Su 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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
• Pose-Driven Deep Convolutional Model for Person Re-identification (2017) — 839 citations
• Deep Attributes Driven Multi-Camera Person Re-identification (2016) — 415 citations
• Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification (2015) — 190 citations
• Snapshot Distillation: Teacher-Student Optimization in One Generation (2018) — 238 citations
• Interpretable Visual Reasoning via Probabilistic Formulation Under Natural Supervision (2020) — 11 citations
• Gradually Vanishing Bridge for Adversarial Domain Adaptation (2020) — 288 citations
• Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification (2018) — 73 citations
• SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images (2019) — 316 citations
• Label Decoupling Framework for Salient Object Detection (2020) — 337 citations