Arvind U. Raghunathan
Computer Vision and Pattern Recognition · 2014
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it; #18,194 of 21,575 by trust here, #21,103 by citations
Whom Arvind U. Raghunathan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe (in Computer Vision and Pattern Recognition)
- Martial Hebert (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Andrew E. Johnson (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Cordelia Schmid (in Computer Vision and Pattern Recognition)
- Ming-Yu Liu (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Oncel Tuzel (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
Who trusts Arvind U. Raghunathan
- Yin Zhou (in Computer Vision and Pattern Recognition)
- Oncel Tuzel (in Computer Vision and Pattern Recognition)
Papers from Arvind U. Raghunathan's perspective
Ordered by how strongly the researchers Arvind U. Raghunathan trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Shape Matching and Object Recognition Using Shape Contexts
- Gradient-based learning applied to document recognition
- Max-Margin Markov Networks
- Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
- Real-time human pose recognition in parts from single depth images
- Relative attributes
- A Combined Corner and Edge Detector
Their papers
- Learning to Rank 3D Features (2014) — 34 citations