Nicholas Carlevaris-Bianco

Computer Vision and Pattern Recognition · 2010–2016

A researcher in the Science corpus: 3 papers; trusts 234 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #13,320 of 21,575 by trust here, #14,151 by citations
• Aerospace Engineering — 13 citations into it; #3,300 of 6,421 by trust here, #3,388 by citations
• Representation & Self-Supervised Learning — 9 citations into it
• Artificial Intelligence — 6 citations into it
• Media Technology — 6 citations into it

Whom Nicholas Carlevaris-Bianco trusts overall

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

1. Geoffrey E. Hinton
2. David G. Lowe
3. Ruslan Salakhutdinov
4. Yann LeCun
5. Andrew Zisserman
6. Yuri Boykov
7. Yoshua Bengio
8. Alex Krizhevsky
9. Vladimir Kolmogorov
10. Vinod Nair

Who trusts Nicholas Carlevaris-Bianco overall

1. Derya Akkaynak
2. Yan-Tsung Peng
3. Chongyi Li
4. Giseop Kim
5. Tali Treibitz
6. John Yi-Wu Chiang
7. Lintao Peng
8. Saifullahi Aminu Bello
9. Pamela C. Cosman
10. Codruta Orniana Ancuti

Papers from Nicholas Carlevaris-Bianco's perspective

Ordered by how strongly the researchers Nicholas Carlevaris-Bianco 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• University of Michigan North Campus long-term vision and lidar dataset (2016) — 643 citations
• Learning visual feature descriptors for dynamic lighting conditions (2014) — 79 citations
• Initial results in underwater single image dehazing (2010) — 482 citations