Xing Xu

Computer Vision and Pattern Recognition · ACM Multimedia · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 590 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 132 citations into it; #10,653 of 21,575 by trust here, #8,122 by citations
• Artificial Intelligence — 71 citations into it
• Multimodal Learning — 46 citations into it
• Natural Language Processing — 40 citations into it
• Representation & Self-Supervised Learning — 28 citations into it
• Generative Models — 20 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Model Architectures — 13 citations into it

Whom Xing Xu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Alex Krizhevsky
5. Yoshua Bengio
6. Kaiming He
7. Yann LeCun
8. Andrew Zisserman
9. Ilya Sutskever
10. Ruslan Salakhutdinov

Who trusts Xing Xu overall

1. Cheng Deng
2. Dongxiang Zhang
3. Raul Gomez
4. Bokun Wang
5. Fumin Shen
6. Lei Wang
7. Shiv Ram Dubey
8. Heng Tao Shen
9. Yang Yang
10. Wenzhong Guo

Papers from Xing Xu's perspective

Ordered by how strongly the researchers Xing Xu 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. Long Short-Term Memory
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Video Captioning With Attention-Based LSTM and Semantic Consistency (2017) — 589 citations
• Adversarial Cross-Modal Retrieval (2017) — 756 citations
• Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis (2019) — 46 citations
• Template-Based Math Word Problem Solvers with Recursive Neural Networks (2019) — 168 citations
• Learning Cross-Modal Common Representations by Private–Shared Subspaces Separation (2020) — 51 citations
• Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval (2017) — 427 citations