M. Dalla Mura
Computer Vision and Pattern Recognition · 2010–2021
A researcher in the Science corpus: 9 papers; trusts 218 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 115 citations into it; #12,983 of 21,575 by trust here, #10,154 by citations
- Media Technology — 113 citations into it; #442 of 3,621 by trust here, #302 by citations
- Artificial Intelligence — 31 citations into it
- Atmospheric Science — 30 citations into it; #419 of 4,804 by trust here, #632 by citations
- Analytical Chemistry — 15 citations into it
- Ocean Engineering — 7 citations into it
- Optimization & Training — 6 citations into it
Whom M. Dalla Mura trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jon Atli Benediktsson
- Martino Pesaresi
- Mathieu Fauvel
- Luciano Alparone
- Andrea Garzelli
- Bruno Aiazzi
- Trevor J. Hastie
- Jocelyn Chanussot
- Geoffrey E. Hinton
- Johannes R. Sveinsson
Who trusts M. Dalla Mura overall
- Jun Yu Li
- Pedram Ghamisi
- Jon Atli Benediktsson
- Xin Huang
- Xudong Kang
- Lorenzo Bruzzone
- Miao Li
- Shutao Li
- Sen Jia
- Xiaofei Yang
Papers from M. Dalla Mura's perspective
Ordered by how strongly the researchers M. Dalla Mura 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Survey on Spectral–Spatial Classification Techniques Based on Attribute Profiles (2015) — 382 citations
- A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods (2021) — 298 citations
- Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks (2017) — 383 citations
- A Critical Comparison Among Pansharpening Algorithms (2015) — 1,223 citations
- Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening (2014) — 365 citations
- Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM (2014) — 118 citations
- Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis (2011) — 438 citations
- Morphological Attribute Profiles for the Analysis of Very High Resolution Images (2010) — 730 citations
- Extended profiles with morphological attribute filters for the analysis of hyperspectral data (2010) — 389 citations