Raja Bala

Computer Vision and Pattern Recognition · 1994–2020

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #13,469 of 21,575 by trust here, #10,010 by citations
• Generative Models — 17 citations into it; #1,258 of 1,956 by trust here, #1,134 by citations

Whom Raja Bala trusts overall

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

1. Tero Karras
2. Individualized Treat
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Alex Krizhevsky
6. Andrew Brock
7. Diederik P. Kingma
8. Kaiming He
9. Samuli Laine
10. Patrick Pérez

Who trusts Raja Bala overall

1. Yuval Alaluf
2. Justin N. M. Pinkney
3. Anpei Chen
4. Rameen Abdal
5. Or Patashnik
6. Kathleen M. Lewis
7. Anton Cherepkov

Papers from Raja Bala's perspective

Ordered by how strongly the researchers Raja Bala 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. GENERATIVE ADVERSARIAL NETS
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Editing in Style: Uncovering the Local Semantics of GANs (2020) — 297 citations
• Sequential scalar quantization of color images (1994)