Kaustav Kundu

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 801 researchers and is trusted by 305 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 141 citations into it; #2,303 of 21,575 by trust here, #2,594 by citations
• Artificial Intelligence — 40 citations into it
• Aerospace Engineering — 26 citations into it; #1,218 of 6,421 by trust here, #698 by citations
• Evaluation & Benchmarks — 17 citations into it
• 3D Vision & Pose — 14 citations into it
• Model Architectures — 9 citations into it
• Media Technology — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Kaustav Kundu trusts overall

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

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

Who trusts Kaustav Kundu overall

1. Binh Yang
2. Xiaozhi Chen
3. Lei Tai
4. Yin Zhou
5. Xinzhu Ma
6. Bo Li
7. Raquel Urtasun
8. Ming Liang
9. Wenjie Luo
10. Xingyi Zhou

Papers from Kaustav Kundu's perspective

Ordered by how strongly the researchers Kaustav Kundu 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
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

• 3D Object Proposals for Accurate Object Class Detection (2015) — 904 citations
• Monocular 3D Object Detection for Autonomous Driving (2016) — 1,014 citations
• Annotating Object Instances with a Polygon-RNN (2017) — 390 citations
• 3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection (2016) — 404 citations