Rawal Khirodkar

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 125 citations into it
• Model Architectures — 8 citations into it

Whom Rawal Khirodkar trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Pei Sun
4. Andrew Zisserman
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Tim Meinhardt
9. Xingyi Zhou

Papers from Rawal Khirodkar's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers

• Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking (2022) — 926 citations
• Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives (2023) — 529 citations