Moslem Kazemi

Computer Vision and Pattern Recognition · 2013

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

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it; #18,523 of 21,575 by trust here, #19,766 by citations

Whom Moslem Kazemi trusts overall

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

1. Radford M. Neal

Who trusts Moslem Kazemi overall

1. Lerrel Pinto

Papers from Moslem Kazemi's perspective

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

1. Pattern Recognition and Machine Learning
2. Computer Vision: A Modern Approach
3. Mean Shift: A Robust Approach Toward Feature Space Analysis
4. Robotic Grasping of Novel Objects using Vision
5. CHOMP: Gradient optimization techniques for efficient motion planning
6. The theory of affordances
7. Gradient-based learning applied to document recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ImageNet classification with deep convolutional neural networks
10. ImageNet: A large-scale hierarchical image database

Their papers

• Perceiving, learning, and exploiting object affordances for autonomous pile manipulation (2013) — 105 citations