Rohan Chabra

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Computational Mechanics — 26 citations into it
• 3D Vision & Pose — 25 citations into it
• Computer Graphics and Computer-Aided Design — 21 citations into it
• Aerospace Engineering — 16 citations into it

Whom Rohan Chabra trusts overall

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

1. Richard A. Newcombe
2. Andreas Geiger
3. Jitendra Malik
4. Geoffrey E. Hinton
5. Kaiming He
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Brian Curless
9. Thomas Whelan
10. Ross B. Girshick

Who trusts Rohan Chabra overall

1. Yinbo Chen
2. Edgar Sucar
3. Songyou Peng
4. Stephen Lombardi
5. Michael Niemeyer
6. Vincent Sitzmann
7. Sifei Liu

Papers from Rohan Chabra's perspective

Ordered by how strongly the researchers Rohan Chabra 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction (2020) — 522 citations