S. Chandrasekaran
Computer Vision and Pattern Recognition · with Bappy · 2010–2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 30 citations into it; #20,834 of 21,575 by trust here, #14,478 by citations
Whom S. Chandrasekaran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts S. Chandrasekaran overall
Papers from S. Chandrasekaran's perspective
Ordered by how strongly the researchers S. Chandrasekaran trusts endorse each paper. Same corpus, a different order for every researcher.
- GENERATIVE ADVERSARIAL NETS
- Improved Techniques for Training GANs
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Deep Learning Face Attributes in the Wild
- Progressive Growing of GANs for Improved Quality, Stability, and Variation
- Image-to-Image Translation with Conditional Adversarial Networks
- Improved Training of Wasserstein GANs
- Xception: Deep Learning with Depthwise Separable Convolutions
- Wasserstein GAN
- Conditional Generative Adversarial Nets
Their papers
- Detecting GAN generated Fake Images using Co-occurrence Matrices (2019) — 368 citations
- Fast algorithms for hierarchically semiseparable matrices (2010) — 347 citations