Ravi Bansal
Computer Vision and Pattern Recognition · Lancet psychiatry · 2003–2017
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 6 citations into it; #17,638 of 21,575 by trust here, #19,766 by citations
Whom Ravi Bansal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ravi Bansal overall
Papers from Ravi Bansal's perspective
Ordered by how strongly the researchers Ravi Bansal trusts endorse each paper. Same corpus, a different order for every researcher.
- Normalized cuts and image segmentation
- Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
- What energy functions can be minimized via graph cuts?
- An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
- Computer Vision: A Modern Approach
- Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
- Network Flows: Theory, Algorithms, and Applications
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
Their papers
- Object segmentation using graph cuts based active contours (2003) — 307 citations
- Subcortical brain volume differences of participants with ADHD across the lifespan: an ENIGMA collaboration (2017) — 1,342 citations
- Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age. (2007) — 717 citations