Prajwal K R
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 4 papers; trusts 170 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it; #20,948 of 21,575 by trust here, #16,367 by citations
- Signal Processing — 31 citations into it; #7,390 of 7,572 by trust here, #4,373 by citations
- Artificial Intelligence — 27 citations into it; #23,974 of 35,345 by trust here, #32,362 by citations
- Speech & Audio — 20 citations into it; #1,030 of 1,076 by trust here, #1,060 by citations
- Model Architectures — 9 citations into it
- Optimization & Training — 6 citations into it
Whom Prajwal K R trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joon Son Chung
- Diederik P. Kingma
- Andrew Zisserman
- Kaiming He
- Geoffrey E. Hinton
- Ilya Sutskever
- Triantafyllos Afouras
- Jimmy Ba
- Alex Krizhevsky
- Yoshua Bengio
Who trusts Prajwal K R overall
- Xu Tan
- Zhimeng Zhang
- Hasam Khalid
- Sandeep Singh Sengar
- C. V. Jawahar
- Yingruo Fan
- Karren D. Yang
- Momina Masood
- Hang Zhou
- Daniel Michelsanti
Papers from Prajwal K R's perspective
Ordered by how strongly the researchers Prajwal K R trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- 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
- Data-Efficient Training Strategies for Neural TTS Systems (2020) — 6 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