Eric Risser

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #10,756 of 21,575 by trust here, #14,822 by citations
• Computer Graphics and Computer-Aided Design — 18 citations into it; #736 of 1,584 by trust here, #929 by citations
• Computational Mechanics — 6 citations into it

Whom Eric Risser trusts overall

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

1. Sylvain Lefebvre
2. Jeremy S. De Bonet
3. Javier Portilla
4. Hugues Hoppe
5. Connelly Barnes
6. Yanxi Liu
7. François Pitié
8. Aaron Hertzmann
9. Eli Shechtman
10. Xin Tong

Who trusts Eric Risser overall

1. Dae Young Park
2. Nicholas I. Kolkin
3. Yujin Tang
4. Lu Sheng
5. Yingying Deng

Papers from Eric Risser's perspective

Ordered by how strongly the researchers Eric Risser 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses (2017) — 261 citations
• Synthesizing structured image hybrids (2010) — 48 citations