Danilo P. Mandic

Computer Vision and Pattern Recognition · with Chen · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Generative Models — 43 citations into it
• Signal Processing — 39 citations into it
• Artificial Intelligence — 30 citations into it
• Statistical and Nonlinear Physics — 18 citations into it

Whom Danilo P. Mandic trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Yoshua Bengio
6. Alex Krizhevsky

Papers from Danilo P. Mandic's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
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. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. WaveNet: A Generative Model for Raw Audio

Their papers

• AudioLDM: Text-to-Audio Generation with Latent Diffusion Models (2023) — 854 citations
• Infergrad: Improving Diffusion Models for Vocoder by Considering Inference in Training (2022) — 37 citations