Yunde Jia

Computer Vision and Pattern Recognition · 2010–2019

A researcher in the Science corpus: 9 papers; trusts 650 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 178 citations into it; #4,343 of 21,575 by trust here, #4,887 by citations
• Artificial Intelligence — 49 citations into it
• Aerospace Engineering — 36 citations into it; #2,189 of 6,421 by trust here, #3,072 by citations
• Computational Mechanics — 21 citations into it
• Biomedical Engineering — 15 citations into it; #10,433 of 10,734 by trust here, #5,396 by citations
• Evaluation & Benchmarks — 14 citations into it
• Geology — 13 citations into it
• Natural Language Processing — 12 citations into it

Whom Yunde Jia trusts overall

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

1. David G. Lowe
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Jingen Liu
6. Yann LeCun
7. Diederik P. Kingma
8. Yoshua Bengio
9. Ilya Sutskever
10. Chih-Jen Lin

Who trusts Yunde Jia overall

1. Amy Sue Fire
2. Song-Chun Zhu
3. Jiang Wang
4. Yipin Zhou
5. Minh Hoai Nguyen
6. Keze Wang
7. Yue Wang
8. Liang Lin
9. Jacob Walker
10. Jiyang Gao

Papers from Yunde Jia's perspective

Ordered by how strongly the researchers Yunde Jia 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
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

• Parsing video events with goal inference and intent prediction (2011) — 164 citations
• Accurate 3D Face Reconstruction With Weakly-Supervised Learning: From Single Image to Image Set (2019) — 887 citations
• Joint Syntax Representation Learning and Visual Cue Translation for Video Captioning (2019) — 85 citations
• View-Invariant Action Recognition Using Latent Kernelized Structural SVM (2012) — 70 citations
• Discriminative human action recognition in the learned hierarchical manifold space (2010) — 103 citations
• Cross-View Action Recognition over Heterogeneous Feature Spaces (2013) — 70 citations
• Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration (2016) — 1,133 citations
• Vehicle Type Classification Using a Semisupervised Convolutional Neural Network (2015) — 348 citations
• Go-ICP: Solving 3D Registration Efficiently and Globally Optimally (2013) — 506 citations