Zia Khan

Artificial Intelligence · with Balch · 2004–2005

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #7,817 of 35,345 by trust here, #13,544 by citations
• Probabilistic & Bayesian Methods — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Zia Khan trusts overall

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

1. Peter J. Green
2. Neil J. Gordon
3. Michael Isard
4. John MacCormick
5. Arnaud Doucet
6. Christopher Rasmussen
7. Walter R. Gilks
8. Cristian Sminchisescu
9. Tao Zhao
10. Dirk Schulz

Who trusts Zia Khan overall

1. Junseok Kwon
2. Wongun Choi
3. Kyoung Mu Lee
4. Gabriel J. Brostow
5. Saad M. Khan
6. Willie Neiswanger
7. A. Ihler
8. Yu Xiang
9. Stefano Pellegrini
10. Tao Zhao

Papers from Zia Khan's perspective

Ordered by how strongly the researchers Zia Khan 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 classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• MCMC-based particle filtering for tracking a variable number of interacting targets (2005) — 930 citations
• An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets (2004) — 442 citations