Joni Dambre

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 10 papers; trusts 358 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 104 citations into it; #6,075 of 21,575 by trust here, #5,620 by citations
• Artificial Intelligence — 97 citations into it; #22,355 of 35,345 by trust here, #8,007 by citations
• Model Architectures — 34 citations into it
• Electrical and Electronic Engineering — 31 citations into it; #13,710 of 16,539 by trust here, #4,432 by citations
• Natural Language Processing — 24 citations into it
• Optimization & Training — 23 citations into it
• Generative Models — 15 citations into it
• Signal Processing — 15 citations into it

Whom Joni Dambre trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Alex Krizhevsky
6. Yann LeCun
7. Jimmy Ba
8. Herbert Jaeger
9. Alex Graves
10. Kaiming He

Who trusts Joni Dambre overall

1. Kohei Nakajima
2. Taco Cohen
3. Miguel C. Soriano
4. Runpeng Cui
5. Aharon Azulay
6. Damien Teney
7. Luke Taylor
8. Luke Taylor
9. Edward J. Kim
10. Yisroel Mirsky

Papers from Joni Dambre's perspective

Ordered by how strongly the researchers Joni Dambre 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Rotation-invariant convolutional neural networks for galaxy morphology prediction (2015) — 715 citations
• Fast Face-Swap Using Convolutional Neural Networks (2016) — 454 citations
• Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition (2016) — 437 citations
• Information processing using a single dynamical node as complex system (2011) — 1,486 citations
• Optoelectronic Reservoir Computing (2011) — 768 citations
• Experimental demonstration of reservoir computing on a silicon photonics chip (2014) — 802 citations
• Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? (2018) — 18 citations
• Locally-connected transformations for deep GMMs (2015) — 17 citations
• Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video (2015) — 282 citations
• Information Processing Capacity of Dynamical Systems (2012) — 482 citations