G. Seetharaman

Computer Vision and Pattern Recognition · 2004–2016

A researcher in the Science corpus: 4 papers; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 128 citations into it
• Media Technology — 13 citations into it

Whom G. Seetharaman trusts overall

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

1. Thomas K. Leung
2. Andrew Zisserman
3. Manik Varma
4. Scott Konishi
5. M. Swain

Papers from G. Seetharaman's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet Large Scale Visual Recognition Challenge
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Histograms of oriented gradients for human detection
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Object Detection with Discriminatively Trained Part Based Models
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose (2015) — 68 citations
• Content based image retrieval using motif cooccurrence matrix (2004) — 308 citations