Paul E. Debevec
Computer Vision and Pattern Recognition · 2000–2023
A researcher in the Science corpus: 11 papers; trusts 119 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 132 citations into it; #5,620 of 21,575 by trust here, #3,075 by citations
- Computer Graphics and Computer-Aided Design — 60 citations into it; #295 of 1,584 by trust here, #107 by citations
- Media Technology — 24 citations into it
- 3D Vision & Pose — 15 citations into it
- Artificial Intelligence — 11 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Optimization & Training — 6 citations into it
Whom Paul E. Debevec trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- S. M. Seitz
- Karen Simonyan
- Kaiming He
- Geoffrey E. Hinton
- Charles Ruizhongtai Qi
- Alex Krizhevsky
- Zhou Wang
- Jonas Adler
- Andrew Zisserman
Who trusts Paul E. Debevec overall
- Ravi Ramamoorthi
- Yousef A. Mahmoud
- Tim Weyrich
- P. Hanrahan
- Jonathan T. Barron
- Sida Peng
- Ce Liu
- Peter-Pike J. Sloan
- Xiaozheng Zhang
- Roland W. Fleming
Papers from Paul E. Debevec's perspective
Ordered by how strongly the researchers Paul E. Debevec 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- DeepView: View Synthesis With Learned Gradient Descent (2019) — 487 citations
- Baking Neural Radiance Fields for Real-Time View Synthesis (2021) — 646 citations
- The Digital Emily project: photoreal facial modeling and animation (2009) — 142 citations
- Immersive light field video with a layered mesh representation (2020) — 330 citations
- Acquiring the Reflectance Field of a Human Face (2000) — 1,227 citations
- Dynamic shape capture using multi-view photometric stereo (2009) — 322 citations
- Single image portrait relighting (2019) — 306 citations
- Performance relighting and reflectance transformation with time-multiplexed illumination (2005) — 321 citations
- Recovering High Dynamic Range Radiance Maps from Photographs (2023) — 779 citations
- High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (2010) — 1,545 citations
- High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics) (2005) — 403 citations