Hamed Kiani Galoogahi
Computer Vision and Pattern Recognition · 2014–2018
A researcher in the Science corpus: 5 papers; trusts 664 researchers and is trusted by 54 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 151 citations into it; #3,571 of 21,575 by trust here, #4,750 by citations
- Aerospace Engineering — 24 citations into it
- Artificial Intelligence — 15 citations into it
- 3D Vision & Pose — 10 citations into it
- Electrical and Electronic Engineering — 10 citations into it
- Media Technology — 9 citations into it
- Global and Planetary Change — 8 citations into it; #1,725 of 10,225 by trust here, #3,919 by citations
- Safety, Risk, Reliability and Quality — 7 citations into it
Whom Hamed Kiani Galoogahi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin Danelljan
- Alex Krizhevsky
- Karen Simonyan
- Geoffrey E. Hinton
- Ming-Hsuan Yang
- Kaiming He
- João F. Henriques
- Yi Wu
- Andrew Zisserman
- Navneet Dalal
Who trusts Hamed Kiani Galoogahi overall
- Martin Danelljan
- Goutam Bhat
- Luc Van Gool
- Fahad Shahbaz Khan
- Zhenhua Feng
- Ning Wang
- Heng Fan
- Lianghua Huang
- Michael Felsberg
- Christoph Mayer
Papers from Hamed Kiani Galoogahi's perspective
Ordered by how strongly the researchers Hamed Kiani Galoogahi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Learning Background-Aware Correlation Filters for Visual Tracking (2017) — 1,139 citations
- Need for Speed: A Benchmark for Higher Frame Rate Object Tracking (2017) — 506 citations
- Correlation filters with limited boundaries (2014) — 342 citations
- The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
- Rethinking Reprojection: Closing the Loop for Pose-Aware Shape Reconstruction from a Single Image (2017) — 91 citations