Sailesh Conjeti

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Radiology, Nuclear Medicine and Imaging — 29 citations into it
• Artificial Intelligence — 21 citations into it
• Cognitive Neuroscience — 17 citations into it
• Model Architectures — 10 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Biophysics — 5 citations into it

Whom Sailesh Conjeti trusts overall

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

1. Bruce Fischl
2. Christian Szegedy
3. Ian J. Goodfellow
4. Diederik P. Kingma
5. Olaf Ronneberger
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Alex Krizhevsky
9. Yann LeCun
10. Ilya Sutskever

Who trusts Sailesh Conjeti overall

1. Abhijit Guha Roy
2. Chengzhi Mao

Papers from Sailesh Conjeti's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. 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

• ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network (2017) — 577 citations
• FastSurfer - A fast and accurate deep learning based neuroimaging pipeline (2019) — 630 citations
• Generalizability vs. Robustness: Adversarial Examples for Medical Imaging (2018) — 102 citations