Yang Li
Computer Vision and Pattern Recognition · ECCV Workshops · 2014–2016
A researcher in the Science corpus: 5 papers; trusts 366 researchers and is trusted by 71 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 173 citations into it; #3,450 of 21,575 by trust here, #2,938 by citations
- Aerospace Engineering — 31 citations into it
- Artificial Intelligence — 17 citations into it
- Electrical and Electronic Engineering — 10 citations into it
- Media Technology — 10 citations into it
- Signal Processing — 7 citations into it
Whom Yang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Junseok Kwon
- João F. Henriques
- Kyoung Mu Lee
- Ming-Hsuan Yang
- Zdenek Kalal
- Yi Wu
- Joost van de Weijer
- Jongwoo Lim
- David S. Bolme
- Ross B. Girshick
Who trusts Yang Li overall
- Martin Danelljan
- Hamed Kiani Galoogahi
- Mengmeng Wang
- Fahad Shahbaz Khan
- Gustav Häger
- Michael Felsberg
- Xingping Dong
- Yibing Song
- Yiming Li
- Matej Kristan
Papers from Yang Li's perspective
Ordered by how strongly the researchers Yang Li 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
- The Visual Object Tracking VOT2014 Challenge Results (2014) — 512 citations
- The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
- A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration (2014) — 1,463 citations
- Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches (2015) — 347 citations