Alec Jacobson
Computer Vision and Pattern Recognition · 2012–2022
A researcher in the Science corpus: 7 papers; trusts 305 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 115 citations into it
- Computational Mechanics — 59 citations into it; #6,989 of 10,001 by trust here, #1,506 by citations
- Artificial Intelligence — 53 citations into it
- Computer Graphics and Computer-Aided Design — 43 citations into it; #1,083 of 1,584 by trust here, #329 by citations
- Safety, Robustness & Interpretability — 25 citations into it
- 3D Vision & Pose — 23 citations into it
- Optimization & Training — 16 citations into it
- Evaluation & Benchmarks — 10 citations into it
Whom Alec Jacobson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- David G. Lowe
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Ian J. Goodfellow
- Ilya Baran
- Yann LeCun
- Christian Szegedy
Who trusts Alec Jacobson overall
Papers from Alec Jacobson's perspective
Ordered by how strongly the researchers Alec Jacobson trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (2019) — 398 citations
- Transfusive image manipulation (2012) — 42 citations
- Learning Smooth Neural Functions via Lipschitz Regularization (2022) — 135 citations
- Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (2021) — 642 citations
- Adversarial Geometry and Lighting using a Differentiable Renderer (2018) — 13 citations
- Thingi10K: A Dataset of 10, 000 3D-Printing Models (2016) — 537 citations
- Bounded biharmonic weights for real-time deformation (2014) — 482 citations