Jean Kossaifi

Computer Vision and Pattern Recognition · 2014–2023

A researcher in the Science corpus: 9 papers; trusts 361 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 116 citations into it; #21,102 of 21,575 by trust here, #11,286 by citations
• Artificial Intelligence — 110 citations into it; #27,627 of 35,345 by trust here, #10,798 by citations
• Computational Mathematics — 40 citations into it; #309 of 612 by trust here, #318 by citations
• Statistical and Nonlinear Physics — 35 citations into it
• Signal Processing — 33 citations into it
• Model Architectures — 27 citations into it
• Computational Mechanics — 26 citations into it
• Optimization & Training — 19 citations into it

Whom Jean Kossaifi trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Christian Szegedy
4. Karen Simonyan
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Yann LeCun
8. Sergey Ioffe
9. Andrew Zisserman
10. Yoshua Bengio

Who trusts Jean Kossaifi overall

1. Jaemin Yoo
2. Jean-Baptiste Cordonnier
3. Minyong Cho
4. Adrian Bulat
5. Antoine Toisoul
6. By Lei Deng
7. Taebum Kim
8. Andreas Loukas
9. Yunsheng Li
10. Zachary Chase Lipton

Papers from Jean Kossaifi's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results (2015) — 332 citations
• Stochastic Activation Pruning for Robust Adversarial Defense (2018) — 581 citations
• Tensor Regression Networks (2017) — 173 citations
• Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation (2019) — 89 citations
• TensorLy: Tensor Learning in Python (2016) — 426 citations
• Geometry-Informed Neural Operator for Large-Scale 3D PDEs (2023) — 378 citations
• Neural operators for accelerating scientific simulations and design (2023) — 417 citations
• Toward fast and accurate human pose estimation via soft-gated skip connections (2020) — 96 citations
• Machine learning for neuroimaging with scikit-learn (2014) — 2,159 citations