Siddhartha Chandra

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 827 researchers and is trusted by 65 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #3,685 of 21,575 by trust here, #9,872 by citations
• Artificial Intelligence — 25 citations into it
• Model Architectures — 10 citations into it; #1,751 of 2,278 by trust here, #1,940 by citations
• Computational Mechanics — 6 citations into it
• Aerospace Engineering — 5 citations into it

Whom Siddhartha Chandra trusts overall

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

1. Liang-Chieh Chen
2. Ross B. Girshick
3. Kaiming He
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Evan Shelhamer
8. Yann LeCun
9. Iasonas Kokkinos
10. Andrew Zisserman

Who trusts Siddhartha Chandra overall

1. Iasonas Kokkinos
2. Zilong Huang
3. Hengshuang Zhao
4. X. Wang
5. Liang-Chieh Chen
6. Seungyong Lee
7. Chao Peng
8. Ahmet Iscen
9. Xiaodan Liang
10. Xinggang Wang

Papers from Siddhartha Chandra's perspective

Ordered by how strongly the researchers Siddhartha Chandra 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. 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

• Dense and Low-Rank Gaussian CRFs Using Deep Embeddings (2017) — 86 citations
• Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs (2016) — 191 citations
• Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (2018) — 2,033 citations