Yusuke Sugano
Computer Vision and Pattern Recognition · 2014–2021
A researcher in the Science corpus: 9 papers; trusts 781 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 255 citations into it; #4,630 of 21,575 by trust here, #3,955 by citations
- Artificial Intelligence — 103 citations into it
- Human-Computer Interaction — 71 citations into it; #135 of 2,253 by trust here, #220 by citations
- Evaluation & Benchmarks — 52 citations into it
- Signal Processing — 47 citations into it
- Multimodal Learning — 45 citations into it; #916 of 1,211 by trust here, #1,076 by citations
- Model Architectures — 32 citations into it
- Radiology, Nuclear Medicine and Imaging — 28 citations into it; #237 of 3,265 by trust here, #780 by citations
Whom Yusuke Sugano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Andrew Zisserman
- Kaiming He
- Ross B. Girshick
- Ilya Sutskever
Who trusts Yusuke Sugano overall
- Xucong Zhang
- Erroll Wood
- Tobias Fischer
- Tadas Baltrusaitis
- Andreas Bulling
- Petr Kellnhofer
- Mario Fritz
- Sergey I. Nikolenko
- Hadi Pouransari
- Hyung Jin Chang
Papers from Yusuke Sugano's perspective
Ordered by how strongly the researchers Yusuke Sugano 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021) — 1,925 citations
- Appearance-based gaze estimation in the wild (2015) — 924 citations
- Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation (2014) — 424 citations
- Rendering of Eyes for Eye-Shape Registration and Gaze Estimation (2015) — 347 citations
- Seeing with Humans: Gaze-Assisted Neural Image Captioning (2016) — 76 citations
- Adaptive Linear Regression for Appearance-Based Gaze Estimation (2014) — 249 citations
- It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation (2016) — 513 citations
- EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021: Team M3EM Technical Report (2021) — 7 citations
- MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation (2017) — 588 citations