Ramani Duraiswami

Computer Vision and Pattern Recognition · 2000–2025

A researcher in the Science corpus: 10 papers; trusts 164 researchers and is trusted by 84 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 110 citations into it; #3,441 of 21,575 by trust here, #6,606 by citations
• Artificial Intelligence — 90 citations into it; #20,213 of 35,345 by trust here, #20,377 by citations
• Evaluation & Benchmarks — 20 citations into it
• Signal Processing — 20 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it; #988 of 1,525 by trust here, #1,313 by citations
• Media Technology — 6 citations into it; #1,338 of 3,621 by trust here, #2,479 by citations
• Aerospace Engineering — 5 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Ramani Duraiswami trusts overall

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

1. Christopher K. I. Williams
2. Dorin Comaniciu
3. Leslie Greengard
4. Gary R. Bradski
5. Shai Avidan
6. Robert T. Collins
7. Simon Baker
8. Emanuel Parzen
9. Paul A. Viola
10. David G. Lowe

Who trusts Ramani Duraiswami overall

1. L. V. D. van der Maaten
2. Xue Mei
3. Xue Bai
4. Subhransu Maji
5. Changjiang Yang
6. Giovanna Menardi
7. Tianzhu Zhang
8. Haibin Ling
9. Andrea Vedaldi
10. Stéphanie Chaillat

Papers from Ramani Duraiswami's perspective

Ordered by how strongly the researchers Ramani Duraiswami 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Improved fast gauss transform and efficient kernel density estimation (2003) — 527 citations
• Fast multiple object tracking via a hierarchical particle filter (2005) — 412 citations
• Background and foreground modeling using nonparametric kernel density estimation for visual surveillance (2002) — 1,331 citations
• SoftPOSIT: Simultaneous Pose and Correspondence Determination (2002) — 344 citations
• Quasi-Random Sampling for Condensation (2000) — 59 citations
• Fast Multipole Methods for the Helmholtz Equation in Three Dimensions (2005) — 491 citations
• AURA: A Fine-Grained Benchmark and Decomposed Metric for Audio-Visual Reasoning (2025)
• MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark (2024) — 308 citations
• Fast large scale Gaussian process regression using approximate matrix-vector products (2006)
• Efficient mean-shift tracking via a new similarity measure (2005) — 375 citations