Xavier Serra

Signal Processing · 1990–2021

A researcher in the Science corpus: 27 papers; trusts 621 researchers and is trusted by 61 researchers here, as inferred from the citation graph.

Subfields

Signal Processing — 244 citations into it; #398 of 7,572 by trust here, #452 by citations
Artificial Intelligence — 199 citations into it; #6,116 of 35,345 by trust here, #10,566 by citations
Computer Vision and Pattern Recognition — 197 citations into it; #5,577 of 21,575 by trust here, #6,089 by citations
Evaluation & Benchmarks — 53 citations into it; #1,334 of 3,147 by trust here, #1,532 by citations
Speech & Audio — 52 citations into it; #447 of 1,076 by trust here, #416 by citations
Representation & Self-Supervised Learning — 48 citations into it
Optimization & Training — 43 citations into it
Model Architectures — 36 citations into it

Whom Xavier Serra trusts overall

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

Who trusts Xavier Serra overall

Papers from Xavier Serra's perspective

Ordered by how strongly the researchers Xavier Serra 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
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
ImageNet: A large-scale hierarchical image database
Long Short-Term Memory
Attention is All you Need (Neural Information Processing Systems)
Gradient-based learning applied to document recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Learning Multiple Layers of Features from Tiny Images

Their papers

Freesound technical demo (2013) — 403 citations
Synthesis of the Singing Voice by Performance Sampling and Spectral Models (2007) — 111 citations
End-to-end music source separation: is it possible in the waveform domain? (2018) — 78 citations
A Wavenet for Speech Denoising (2017) — 489 citations
Self-Supervised Learning from Automatically Separated Sound Scenes (2021) — 13 citations
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks (2021) — 11 citations
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking (2020) — 27 citations
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations (2020) — 35 citations
Unsupervised Contrastive Learning of Sound Event Representations (2020) — 71 citations
FSD50K: An Open Dataset of Human-Labeled Sound Events (2020) — 737 citations
Evaluation of CNN-based Automatic Music Tagging Models (2020) — 113 citations
Search Result Clustering in Collaborative Sound Collections (2020) — 5 citations
A Hybrid Parametric-Deep Learning Approach for Sound Event Localization and Detection (2019) — 6 citations
The MTG-Jamendo Dataset for Automatic Music Tagging (2019) — 295 citations
Learning Sound Event Classifiers from Web Audio with Noisy Labels (2019) — 126 citations
Audio tagging with noisy labels and minimal supervision (2019) — 103 citations
Model-Agnostic Approaches To Handling Noisy Labels When Training Sound Event Classifiers (2019) — 10 citations
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline (2018) — 167 citations
Facilitating the Manual Annotation of Sounds When Using Large Taxonomies (2018) — 7 citations
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification (2018) — 12 citations