Rudrabha Mukhopadhyay

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 3 papers; trusts 133 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #18,954 of 21,575 by trust here, #16,367 by citations
• Signal Processing — 29 citations into it; #6,597 of 7,572 by trust here, #4,373 by citations
• Artificial Intelligence — 20 citations into it
• Speech & Audio — 15 citations into it; #934 of 1,076 by trust here, #1,060 by citations
• Model Architectures — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Rudrabha Mukhopadhyay trusts overall

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

1. Joon Son Chung
2. Andrew Zisserman
3. Kaiming He
4. Diederik P. Kingma
5. Triantafyllos Afouras
6. Ilya Sutskever
7. Geoffrey E. Hinton
8. Sergey Ioffe
9. Alex Krizhevsky
10. Yoshua Bengio

Who trusts Rudrabha Mukhopadhyay overall

1. Prajwal K R
2. C. V. Jawahar
3. Zhimeng Zhang
4. Hasam Khalid
5. Sandeep Singh Sengar
6. Yingruo Fan
7. Karren D. Yang

Papers from Rudrabha Mukhopadhyay's perspective

Ordered by how strongly the researchers Rudrabha Mukhopadhyay 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild (2020) — 1,210 citations
• Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis (2020) — 144 citations
• IndicSpeech: Text-to-Speech Corpus for Indian Languages (2020) — 32 citations