Samyak Parajuli

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it

Whom Samyak Parajuli trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
3. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Samyak Parajuli's perspective

Ordered by how strongly the researchers Samyak Parajuli 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 Large Scale Visual Recognition Challenge
3. ImageNet: A large-scale hierarchical image database
4. Aggregated Residual Transformations for Deep Neural Networks
5. mixup: Beyond Empirical Risk Minimization
6. Towards Deep Learning Models Resistant to Adversarial Attacks
7. Exploring the Limits of Weakly Supervised Pretraining
8. AutoAugment: Learning Augmentation Policies from Data
9. Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
10. Do Better ImageNet Models Transfer Better?

Their papers

• The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization (2020) — 2,442 citations