Tanmay Batra

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 365 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it; #9,301 of 21,575 by trust here, #7,657 by citations
• Artificial Intelligence — 57 citations into it; #14,380 of 35,345 by trust here, #10,942 by citations
• Representation & Self-Supervised Learning — 22 citations into it
• Generative Models — 6 citations into it
• Multimodal Learning — 5 citations into it

Whom Tanmay Batra trusts overall

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

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

Who trusts Tanmay Batra overall

1. Jian Liang
2. Mohammad Rostami
3. Dapeng Hu
4. Serban Stan
5. Garrett Wilson
6. Hui Tang
7. Dian Chen
8. Ying Jin
9. Tong Chu
10. Zhekai Du

Papers from Tanmay Batra's perspective

Ordered by how strongly the researchers Tanmay Batra 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Common Sense through Visual Abstraction (2015) — 92 citations
• Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation (2019) — 606 citations