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20152026
most citedSelf-Supervised Small Soccer Player Detection and Tracking

46 citations · 105 across the 14 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 46 cited

Self-Supervised Small Soccer Player Detection and Tracking

Samuel Hurault, Coloma Ballester, Gloria Haro

In a soccer game, the information provided by detecting and tracking brings crucial clues to further analyze and understand some tactical aspects of the game, including individual…

eess.AS2020

Solos: A Dataset for Audio-Visual Music Analysis

Juan F. Montesinos, Olga Slizovskaia, Gloria Haro

In this paper, we present a new dataset of music performance videos which can be used for training machine learning methods for multiple tasks such as audio-visual blind source sep…

cs.CV2020

Using Player's Body-Orientation to Model Pass Feasibility in Soccer

Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández +2

Given a monocular video of a soccer match, this paper presents a computational model to estimate the most feasible pass at any given time. The method leverages offensive player's o…

cs.SD2020★ 27 cited

Conditioned Source Separation for Music Instrument Performances

Olga Slizovskaia, Gloria Haro, Emilia Gómez

In music source separation, the number of sources may vary for each piece and some of the sources may belong to the same family of instruments, thus sharing timbral characteristics…

eess.AS2020

Vocoder-Based Speech Synthesis from Silent Videos

Daniel Michelsanti, Olga Slizovskaia, Gloria Haro +3

Both acoustic and visual information influence human perception of speech. For this reason, the lack of audio in a video sequence determines an extremely low speech intelligibility…

cs.SD2020

Multi-channel U-Net for Music Source Separation

Venkatesh S. Kadandale, Juan F. Montesinos, Gloria Haro +1

A fairly straightforward approach for music source separation is to train independent models, wherein each model is dedicated for estimating only a specific source. Training a sing…

cs.CV2020

Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players

Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández +3

Although orientation has proven to be a key skill of soccer players in order to succeed in a broad spectrum of plays, body orientation is a yet-little-explored area in sports analy…