Xucong Zhang
Computer Vision and Pattern Recognition · 2013–2020
A researcher in the Science corpus: 7 papers; trusts 562 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 114 citations into it; #4,723 of 21,575 by trust here, #6,426 by citations
- Human-Computer Interaction — 55 citations into it; #190 of 2,253 by trust here, #347 by citations
- Radiology, Nuclear Medicine and Imaging — 35 citations into it; #467 of 3,265 by trust here, #1,103 by citations
- Artificial Intelligence — 34 citations into it
- Ophthalmology — 29 citations into it
- Generative Models — 14 citations into it
- Evaluation & Benchmarks — 12 citations into it
- Media Technology — 8 citations into it
Whom Xucong Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Karen Simonyan
- Alex Krizhevsky
- Yann LeCun
- Geoffrey E. Hinton
- Kaiming He
- Yusuke Sugano
- Ross B. Girshick
- Yoshua Bengio
- Andrew Zisserman
Who trusts Xucong Zhang overall
- Hadi Pouransari
- Sergey I. Nikolenko
- Tadas Baltrusaitis
- Tobias Fischer
- Petr Kellnhofer
- Yu Mitsuzumi
- Erroll Wood
- Yusuke Sugano
- Oncel Tuzel
- Mario Fritz
Papers from Xucong Zhang's perspective
Ordered by how strongly the researchers Xucong Zhang 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Appearance-based gaze estimation in the wild (2015) — 924 citations
- Robust Multi-resolution Pedestrian Detection in Traffic Scenes (2013) — 185 citations
- Rendering of Eyes for Eye-Shape Registration and Gaze Estimation (2015) — 347 citations
- It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation (2016) — 513 citations
- ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation (2020) — 362 citations
- Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks (2019) — 55 citations
- MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation (2017) — 588 citations