Paolo Gamba
Computer Vision and Pattern Recognition · 2007–2023
A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 50 citations into it; #12,248 of 21,575 by trust here, #8,722 by citations
- Media Technology — 50 citations into it; #1,239 of 3,621 by trust here, #332 by citations
- Atmospheric Science — 19 citations into it
- Analytical Chemistry — 14 citations into it
- Statistical Learning Theory — 7 citations into it
- Optimization & Training — 6 citations into it
Whom Paolo Gamba trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Iroon Polytechniou
- Jon Atli Benediktsson
- Martino Pesaresi
- Gustau Camps-Valls
- David John Cameron MacKay
- Christopher K. I. Williams
- Luciano Alparone
- Lorenzo Bruzzone
Who trusts Paolo Gamba overall
Papers from Paolo Gamba's perspective
Ordered by how strongly the researchers Paolo Gamba trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- A training algorithm for optimal margin classifiers
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
- Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
- Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
Their papers
- SpectralGPT: Spectral Remote Sensing Foundation Model (2023) — 837 citations
- Multiple Feature Learning for Hyperspectral Image Classification (2015) — 302 citations
- Human Settlements: A Global Challenge for EO Data Processing and Interpretation (2013) — 58 citations
- Recent Advances in Techniques for Hyperspectral Image Processing (2009) — 1,721 citations
- Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest (2007) — 912 citations