Dinkar Gupta

Computer Vision and Pattern Recognition · 2005

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Dinkar Gupta trusts overall

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

1. Robert E. Schapire
2. Ramin Zabih

Who trusts Dinkar Gupta overall

1. Nathan D. Ratliff

Papers from Dinkar Gupta's perspective

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

1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
2. Fast approximate energy minimization via graph cuts
3. Max-Margin Markov Networks
4. Support-Vector Networks
5. Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
6. The Boosting Approach to Machine Learning An Overview
7. What energy functions can be minimized via graph cuts?
8. Matching 3D models with shape distributions
9. A search engine for 3D models (TOGS)
10. The Princeton Shape Benchmark

Their papers

• Discriminative learning of Markov random fields for segmentation of 3D scan data (2005) — 433 citations