Jing Dong

Computer Vision and Pattern Recognition · with Boots · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #19,882 of 21,575 by trust here, #20,756 by citations

Whom Jing Dong trusts overall

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

1. Steven M. LaValle
2. Olivier Sigaud

Who trusts Jing Dong overall

1. Mohak Bhardwaj

Papers from Jing Dong's perspective

Ordered by how strongly the researchers Jing Dong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Planning algorithms
2. From Motor Learning to Interaction Learning in Robots
3. Reinforcement Learning: An Introduction
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Continuous-time Gaussian process motion planning via probabilistic inference (2017) — 283 citations