Anirban Mukhopadhyay

Computer Vision and Pattern Recognition · with Oksuz · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 38 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it; #20,620 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 37 citations into it; #31,236 of 35,345 by trust here, #25,809 by citations
• Generative Models — 21 citations into it
• Computational Theory and Mathematics — 9 citations into it; #10,757 of 12,182 by trust here, #7,142 by citations
• Signal Processing — 6 citations into it

Whom Anirban Mukhopadhyay trusts overall

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

1. Kalyanmoy Deb
2. Ujjwal Maulik
3. Rakesh Agrawal
4. Eckart Zitzler
5. Sanghamitra Bandyopadhyay
6. José Maria Pangilinan
7. Joel A. Tropp
8. David Wolfe Corne
9. Caroline Petitjean
10. Carlos Artemio Coello Coello

Who trusts Anirban Mukhopadhyay overall

1. George Leu
2. Zhi-hui Zhan
3. Fariza Hanum Binti Md Nasaruddin
4. He-lu Huang
5. Jue Jiang
6. Hussein A. Abbass
7. Fausto Milletarì

Papers from Anirban Mukhopadhyay's perspective

Ordered by how strongly the researchers Anirban Mukhopadhyay 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. ImageNet: A large-scale hierarchical image database
6. GENERATIVE ADVERSARIAL NETS
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I (2014) — 419 citations
• GANs for Medical Image Analysis (2018) — 505 citations
• Statistical shape modeling of the left ventricle: myocardial infarct classification challenge (2017) — 91 citations
• Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 (2015) — 647 citations