Mandar Dixit

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 110 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #18,388 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 19 citations into it; #29,992 of 35,345 by trust here, #27,551 by citations

Whom Mandar Dixit trusts overall

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

1. Ross B. Girshick
2. Yoshua Bengio
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Kaiming He
7. Ilya Sutskever
8. Matthew D. Zeiler
9. Antonio Torralba
10. Shaoqing Ren

Who trusts Mandar Dixit overall

1. Xi Yin
2. Bharath Hariharan
3. Yu-Xiong Wang
4. Ross B. Girshick
5. Xiang Yu
6. Xinyue Zhu
7. Kihyuk Sohn
8. Xiaoming Liu
9. Yifan Liu

Papers from Mandar Dixit's perspective

Ordered by how strongly the researchers Mandar Dixit 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• AGA: Attribute-Guided Augmentation (2016) — 105 citations