Mirela Ben-Chen

Computer Vision and Pattern Recognition · 2012–2017

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it; #18,389 of 21,575 by trust here, #13,815 by citations
• Computational Mechanics — 39 citations into it; #3,905 of 10,001 by trust here, #3,126 by citations
• Computer Graphics and Computer-Aided Design — 19 citations into it; #1,039 of 1,584 by trust here, #976 by citations
• 3D Vision & Pose — 6 citations into it

Whom Mirela Ben-Chen trusts overall

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

1. A. Bronstein
2. Raif M. Rustamov
3. Yaron Lipman
4. Mathieu Aubry
5. Michael M. Bronstein
6. Vladimir G. Kim
7. Evangelos Kalogerakis
8. Qi-Xing Huang
9. M. Ovsjanikov
10. Thomas A. Funkhouser

Who trusts Mirela Ben-Chen overall

1. Adrien Poulenard
2. Yue Wang
3. Jonathan Masci
4. Emanuele Rodolà
5. M. Ovsjanikov
6. Nicholas Sharp
7. Fan Wang
8. Thibault Groueix
9. Davide Boscaini

Papers from Mirela Ben-Chen's perspective

Ordered by how strongly the researchers Mirela Ben-Chen 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Functional maps (2012) — 440 citations
• GWCNN: A Metric Alignment Layer for Deep Shape Analysis (2017) — 105 citations
• Map-based exploration of intrinsic shape differences and variability (2013) — 164 citations