Yijuan Lu

Computer Vision and Pattern Recognition · 2007–2021

A researcher in the Science corpus: 9 papers; trusts 511 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 208 citations into it; #20,166 of 21,575 by trust here, #7,092 by citations
• Artificial Intelligence — 78 citations into it
• Multimodal Learning — 45 citations into it
• Aerospace Engineering — 33 citations into it; #5,884 of 6,421 by trust here, #5,385 by citations
• Natural Language Processing — 32 citations into it
• Evaluation & Benchmarks — 18 citations into it
• Information Retrieval & Search — 8 citations into it

Whom Yijuan Lu trusts overall

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

1. David G. Lowe
2. Kaiming He
3. Andrew Zisserman
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ross B. Girshick
9. Ondřej Chum
10. Yann LeCun

Who trusts Yijuan Lu overall

1. Ahmed K. Farahat
2. Yelin Kim
3. Nasrin Sultana
4. Mahdokht Masaeli
5. Herbert Ssegane
6. Zhengyuan Yang
7. Liang Zheng
8. Lingxi Xie
9. Honglak Lee
10. A. Ghodsi

Papers from Yijuan Lu's perspective

Ordered by how strongly the researchers Yijuan Lu 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

• TAP: Text-Aware Pre-training for Text-VQA and Text-Caption (2020) — 164 citations
• RGB-T Object Tracking: Benchmark and Baseline (2018) — 585 citations
• TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models (2021) — 682 citations
• LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding (2020) — 702 citations
• Large Scale Comprehensive 3D Shape Retrieval (2014) — 23 citations
• Scalar quantization for large scale image search (2012) — 96 citations
• RGB-D to CAD Retrieval with ObjectNN Dataset (2017) — 20 citations
• SHREC'14 Track: Large Scale Comprehensive 3D Shape Retrieval (2014) — 33 citations
• Feature selection using principal feature analysis (2007) — 384 citations