Derek Nowrouzezahrai

Computer Vision and Pattern Recognition · 2009–2022

A researcher in the Science corpus: 10 papers; trusts 457 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 254 citations into it
• Artificial Intelligence — 147 citations into it
• Computational Mechanics — 83 citations into it
• Computer Graphics and Computer-Aided Design — 63 citations into it
• Model Architectures — 40 citations into it
• Reinforcement Learning — 34 citations into it
• Generative Models — 33 citations into it
• Representation & Self-Supervised Learning — 29 citations into it

Whom Derek Nowrouzezahrai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Graves
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Ilya Sutskever
7. Yann LeCun
8. J. Urgen Schmidhuber
9. Kaiming He
10. Radford M. Neal

Who trusts Derek Nowrouzezahrai overall

1. Quentin Mérigot

Papers from Derek Nowrouzezahrai's perspective

Ordered by how strongly the researchers Derek Nowrouzezahrai trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Kubric: A scalable dataset generator (2022) — 467 citations
• Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder (2017) — 356 citations
• Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation (2020) — 11 citations
• Robust motion in-betweening (2020) — 396 citations
• Surprisal-Triggered Conditional Computation with Neural Networks (2020) — 6 citations
• Extracting lines of curvature from noisy point clouds (2009) — 100 citations
• Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (2021) — 642 citations
• Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning (2019) — 24 citations
• Adversarial Geometry and Lighting using a Differentiable Renderer (2018) — 13 citations
• Learning hatching for pen-and-ink illustration of surfaces (2012) — 579 citations