Mukta Prasad

Computer Vision and Pattern Recognition · 2006–2016

A researcher in the Science corpus: 4 papers; trusts 319 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it; #5,794 of 21,575 by trust here, #9,722 by citations
• Aerospace Engineering — 16 citations into it; #4,419 of 6,421 by trust here, #2,449 by citations
• Computational Mechanics — 13 citations into it; #2,823 of 10,001 by trust here, #2,715 by citations
• 3D Vision & Pose — 10 citations into it; #554 of 689 by trust here, #513 by citations
• Artificial Intelligence — 7 citations into it

Whom Mukta Prasad trusts overall

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

1. Andrew Zisserman
2. Derek Hoiem
3. Carsten Rother
4. David G. Lowe
5. Geoffrey E. Hinton
6. M. Pawan Kumar
7. Ross B. Girshick
8. Alex Krizhevsky
9. Xianfeng David Gu
10. Kaiming He

Who trusts Mukta Prasad overall

1. João Carreira
2. Nathaniel R. Twarog
3. Sara Alexandra Gomes Vicente
4. David Novotný
5. Samuele Salti
6. Jiajun Wu
7. Charles Ruizhongtai Qi
8. Lourdes de Agapito
9. Andrew William Fitzgibbon
10. Yu-Gang Jiang

Papers from Mukta Prasad's perspective

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

• Hough Transform and 3D SURF for Robust Three Dimensional Classification (2010) — 388 citations
• Finding nemo: Deformable object class modelling using curve matching (2010) — 29 citations
• Single View Reconstruction of Curved Surfaces (2006) — 140 citations
• Deep Shape from a Low Number of Silhouettes (2016) — 15 citations