Hongliang Li
Computer Vision and Pattern Recognition · with Wang · 2011–2019
A researcher in the Science corpus: 4 papers; trusts 40 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 101 citations into it; #6,823 of 21,575 by trust here, #7,249 by citations
- Media Technology — 37 citations into it
- Evaluation & Benchmarks — 23 citations into it; #1,715 of 3,147 by trust here, #2,040 by citations
Whom Hongliang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhou Wang
- A. Bovik
- Joost van de Weijer
- Radhakrishna Achanta
- Junwei Han
- Hamid R. Sheikh
- Theo Gevers
- Eero P. Simoncelli
- Sheila S. Hemami
- King Ngi Ngan
Who trusts Hongliang Li overall
- Dingwen Zhang
- Deyu Meng
- Junwei Han
- Runmin Cong
- Ming-Ming Cheng
- Kai Zhang
- Kede Ma
- Ali Borji
- Huan Fu
- Jianjun Lei
Papers from Hongliang Li's perspective
Ordered by how strongly the researchers Hongliang Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Microsoft COCO: Common Objects in Context
- ImageNet Large Scale Visual Recognition Challenge
- Et al
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Distinctive Image Features from Scale-Invariant Keypoints
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Waterloo Exploration Database: New Challenges for Image Quality Assessment Models (2017) — 827 citations
- VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results (2019) — 1,010 citations
- Group MAD Competition? A New Methodology to Compare Objective Image Quality Models (2016) — 106 citations
- A Co-Saliency Model of Image Pairs (2011) — 323 citations