Jiaxin Shi

Computer Vision and Pattern Recognition · with Chen · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 95 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it; #20,109 of 21,575 by trust here, #12,992 by citations
• Artificial Intelligence — 32 citations into it; #32,830 of 35,345 by trust here, #19,439 by citations
• Causal Inference & Discovery — 7 citations into it

Whom Jiaxin Shi trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Leslie G. Valiant
4. Tsung-Yi Lin
5. Judea Pearl
6. Joseph E. Gonzalez
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Shaoqing Ren
10. Piotr Doll'ar

Who trusts Jiaxin Shi overall

1. Anuj Kalia

Papers from Jiaxin Shi's perspective

Ordered by how strongly the researchers Jiaxin Shi 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Microsoft COCO: Common Objects in Context
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Unbiased Scene Graph Generation From Biased Training (2020) — 853 citations
• PowerLyra: Differentiated Graph Computation and Partitioning on Skewed Graphs (2019) — 415 citations
• Fast in-memory transaction processing using RDMA and HTM (2015) — 341 citations