Anoop Korattikara Balan

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 5 papers; trusts 161 researchers and is trusted by 178 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it; #2,868 of 21,575 by trust here, #2,570 by citations
• Artificial Intelligence — 52 citations into it; #9,343 of 35,345 by trust here, #11,327 by citations
• Reinforcement Learning — 33 citations into it; #1,788 of 2,242 by trust here, #1,443 by citations

Whom Anoop Korattikara Balan trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Brian D. Ziebart
5. Kaiming He
6. Ross B. Girshick
7. Christian Szegedy
8. Diederik P. Kingma
9. Richard S. Sutton
10. Yann LeCun

Who trusts Anoop Korattikara Balan overall

1. Chunyuan Li
2. Danilo Jimenez Rezende
3. Stephan Mandt
4. Kaiming He
5. Brielen Madureira
6. Quoc V. Le
7. David M. Blei
8. Sergey Levine
9. Yoshua Bengio
10. Bo Dai

Papers from Anoop Korattikara Balan's perspective

Ordered by how strongly the researchers Anoop Korattikara Balan 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors (2016) — 2,700 citations
• From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following (2019) — 144 citations
• Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring (2012) — 318 citations
• Im2Calories: Towards an Automated Mobile Vision Food Diary (2015) — 481 citations
• Measuring the Reliability of Reinforcement Learning Algorithms (2019) — 101 citations