Vinay P. Namboodiri

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 10 papers; trusts 1,214 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 223 citations into it; #7,161 of 21,575 by trust here, #5,843 by citations
• Artificial Intelligence — 197 citations into it; #13,427 of 35,345 by trust here, #14,181 by citations
• Representation & Self-Supervised Learning — 55 citations into it; #2,400 of 3,145 by trust here, #2,957 by citations
• Multimodal Learning — 46 citations into it
• Generative Models — 34 citations into it; #1,879 of 1,956 by trust here, #1,110 by citations
• Signal Processing — 34 citations into it; #6,596 of 7,572 by trust here, #4,373 by citations
• Meta & Continual Learning — 29 citations into it
• Natural Language Processing — 29 citations into it

Whom Vinay P. Namboodiri trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Ilya Sutskever
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Andrew Zisserman
9. Ross B. Girshick
10. Karen Simonyan

Who trusts Vinay P. Namboodiri overall

1. Jonathan Munro
2. Badri N. Patro
3. Vinod Kumar Kurmi
4. Gabriella Csurka
5. Dima Damen
6. Sara Beery
7. Garrett Wilson
8. Tao Wang
9. Ngoc-Trung Tran
10. Mayank Lunayach

Papers from Vinay P. Namboodiri's perspective

Ordered by how strongly the researchers Vinay P. Namboodiri 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. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Multi-agent Diverse Generative Adversarial Networks (2017) — 332 citations
• Subspace Alignment Based Domain Adaptation for RCNN Detector (2015) — 74 citations
• A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild (2020) — 1,210 citations
• Differential Attention for Visual Question Answering (2018) — 79 citations
• Do not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting (2021) — 26 citations
• Rectification-based Knowledge Retention for Continual Learning (2021) — 51 citations
• Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis (2020) — 144 citations
• U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps (2019) — 84 citations
• Attending to Discriminative Certainty for Domain Adaptation (2019) — 113 citations
• Deep Domain Adaptation in Action Space (2018) — 92 citations