Ramakrishna Vedantham
Computer Vision and Pattern Recognition · 2011
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it; #16,073 of 21,575 by trust here, #18,782 by citations
Whom Ramakrishna Vedantham trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthijs C. Dorst (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
Who trusts Ramakrishna Vedantham
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Arsha Nagrani (in Computer Vision and Pattern Recognition)
- Joon Son Chung (in Computer Vision and Pattern Recognition)
Papers from Ramakrishna Vedantham's perspective
Ordered by how strongly the researchers Ramakrishna Vedantham trusts endorse each paper. Same corpus, a different order for every researcher.
- Video Google: a text retrieval approach to object matching in videos
- Scalable Recognition with a Vocabulary Tree
- Aggregating local descriptors into a compact image representation
- Lost in quantization: Improving particular object retrieval in large scale image databases
- Distinctive Image Features from Scale-Invariant Keypoints Abstract by Matthijs Dorst Based on the paper by
- City-Scale Location Recognition
- Large-scale image retrieval with compressed Fisher vectors
- Efficient indexing for large scale visual search
- Improving Bag-of-Features for Large Scale Image Search
- Discriminative Learning of Local Image Descriptors
Their papers
- Residual Enhanced Visual Vectors for on-device image matching (2011) — 46 citations