Rushil Anirudh

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 231 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it; #15,019 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 33 citations into it; #24,370 of 35,345 by trust here, #18,586 by citations
• Generative Models — 27 citations into it
• Representation & Self-Supervised Learning — 15 citations into it; #2,369 of 3,145 by trust here, #2,404 by citations
• Safety, Robustness & Interpretability — 11 citations into it
• Human-Computer Interaction — 10 citations into it
• Biomedical Engineering — 9 citations into it; #5,743 of 10,734 by trust here, #6,932 by citations
• 3D Vision & Pose — 6 citations into it

Whom Rushil Anirudh trusts overall

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

1. Ian J. Goodfellow
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yann LeCun
7. Yoshua Bengio
8. Karen Simonyan
9. Ilya Sutskever
10. Christian Szegedy

Who trusts Rushil Anirudh overall

1. Xiongtao Dai
2. Raviteja Vemulapalli
3. H. Muller
4. Zhiwu Huang
5. Amor Ben Tanfous
6. Enea Cippitelli
7. Jun Liu
8. Ramalingam Chellappa
9. Hassen Drira
10. Chengde Wan

Papers from Rushil Anirudh's perspective

Ordered by how strongly the researchers Rushil Anirudh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. 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. Learning Multiple Layers of Features from Tiny Images

Their papers

• MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking (2019) — 47 citations
• Elastic functional coding of human actions: From vector-fields to latent variables (2015) — 96 citations
• Elastic Functional Coding of Riemannian Trajectories (2016) — 54 citations