K. V. D. Sande

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 5 papers; trusts 735 researchers and is trusted by 7,306 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 122 citations into it; #262 of 21,575 by trust here, #875 by citations
• Artificial Intelligence — 34 citations into it; #15,536 of 35,345 by trust here, #23,731 by citations
• Media Technology — 19 citations into it; #201 of 3,621 by trust here, #405 by citations
• Aerospace Engineering — 14 citations into it; #72 of 6,421 by trust here, #64 by citations
• Evaluation & Benchmarks — 13 citations into it
• Computer Networks and Communications — 5 citations into it
• Hardware and Architecture — 5 citations into it

Whom K. V. D. Sande trusts overall

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

1. David G. Lowe
2. Andrew Zisserman
3. Pedro F. Felzenszwalb
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Cordelia Schmid
8. Radford M. Neal
9. Kaiming He
10. Chih-Jen Lin

Who trusts K. V. D. Sande overall

1. Wanli Ouyang
2. Ross B. Girshick
3. Xiaogang Wang
4. Kaiming He
5. Jitendra Malik
6. Andrea Vedaldi
7. Yi Yang
8. Trevor Darrell
9. Jasper R. R. Uijlings
10. Li Fei-Fei

Papers from K. V. D. Sande's perspective

Ordered by how strongly the researchers K. V. D. Sande 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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

• Selective Search for Object Recognition (2013) — 5,664 citations
• Segmentation as selective search for object recognition (2011) — 831 citations
• Evaluating Color Descriptors for Object and Scene Recognition (2010) — 2,124 citations
• Fisher and VLAD with FLAIR (2014) — 71 citations
• Empowering Visual Categorization With the GPU (2011) — 109 citations