Yi Wu
Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2011–2015
A researcher in the Science corpus: 5 papers; trusts 583 researchers and is trusted by 889 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 155 citations into it; #1,402 of 21,575 by trust here, #2,295 by citations
- Artificial Intelligence — 19 citations into it
- Computational Mechanics — 19 citations into it; #2,857 of 10,001 by trust here, #2,252 by citations
- Electrical and Electronic Engineering — 14 citations into it; #285 of 16,539 by trust here, #2,992 by citations
- Aerospace Engineering — 12 citations into it; #200 of 6,421 by trust here, #658 by citations
- Media Technology — 9 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Biomedical Engineering — 6 citations into it
Whom Yi Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shai Avidan
- Fatih Murat Porikli
- Boris Babenko
- Ming-Hsuan Yang
- Helmut Grabner
- Simon Baker
- Iain Matthews
- Navneet Dalal
- Paul A. Viola
- Oncel Tuzel
Who trusts Yi Wu overall
- Martin Danelljan
- Fahad Shahbaz Khan
- Chao Ma
- Goutam Bhat
- Matej Kristan
- Michael Felsberg
- Hyeonseob Nam
- Matthias Mueller
- Ming-Hsuan Yang
- Zhipeng Zhang
Papers from Yi Wu's perspective
Ordered by how strongly the researchers Yi Wu 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Online Object Tracking: A Benchmark (2013) — 3,975 citations
- Object Tracking Benchmark (2015) — 3,212 citations
- Real time robust L1 tracker using accelerated proximal gradient approach (2012) — 950 citations
- Minimum error bounded efficient ℓ1 tracker with occlusion detection (2011) — 371 citations
- Robust Visual Tracking via Convolutional Networks Without Training (2015) — 354 citations