Santanu Chaudhury

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Generative Models — 23 citations into it
• Artificial Intelligence — 15 citations into it

Whom Santanu Chaudhury trusts overall

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

1. Geoffrey E. Hinton

Papers from Santanu Chaudhury's perspective

Ordered by how strongly the researchers Santanu Chaudhury trusts endorse each paper. Same corpus, a different order for every researcher.

1. GENERATIVE ADVERSARIAL NETS
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
6. Et al
7. This PDF file includes: Materials and Methods
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Improved Techniques for Training GANs
10. A Fast Learning Algorithm for Deep Belief Nets

Their papers

• Mode matching in GANs through latent space learning and inversion (2018)
• Computer Vision, Graphics, and Image Processing (2016) — 341 citations