Wouter Van Gansbeke
Computer Vision and Pattern Recognition · 2020–2025
A researcher in the Science corpus: 3 papers; trusts 447 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 103 citations into it
- Artificial Intelligence — 97 citations into it
- Representation & Self-Supervised Learning — 56 citations into it
- Optimization & Training — 14 citations into it
- Model Architectures — 13 citations into it
Whom Wouter Van Gansbeke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Ilya Sutskever
- Andrew Zisserman
Who trusts Wouter Van Gansbeke overall
- Jiangpeng He
- Shir Gur
- Yanbei Chen
- Shahaf E. Finder
- Hugo Touvron
- Yannis Kalantidis
- Nimit Sharad Sohoni
- Shiqi Yang
- Jie Xu
- Jinghao Zhou
Papers from Wouter Van Gansbeke's perspective
Ordered by how strongly the researchers Wouter Van Gansbeke 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Learning To Classify Images Without Labels (2020) — 677 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Multi-Task Learning for Dense Prediction Tasks: A Survey (2020) — 994 citations