Search Results for author: Francisco Massa

Found 10 papers, 6 papers with code

Hybrid Transformers for Music Source Separation

2 code implementations15 Nov 2022 Simon Rouard, Francisco Massa, Alexandre Défossez

While it performs poorly when trained only on MUSDB, we show that it outperforms Hybrid Demucs (trained on the same data) by 0. 45 dB of SDR when using 800 extra training songs.

 Ranked #1 on Music Source Separation on MUSDB18 (using extra training data)

Music Source Separation

Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks

no code implementations16 Nov 2017 Joost van Amersfoort, Wenzhe Shi, Alejandro Acosta, Francisco Massa, Johannes Totz, Zehan Wang, Jose Caballero

To improve the quality of synthesised intermediate video frames, our network is jointly supervised at different levels with a perceptual loss function that consists of an adversarial and two content losses.

Crafting a multi-task CNN for viewpoint estimation

no code implementations13 Sep 2016 Francisco Massa, Renaud Marlet, Mathieu Aubry

Convolutional Neural Networks (CNNs) were recently shown to provide state-of-the-art results for object category viewpoint estimation.

General Classification Viewpoint Estimation

Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views

no code implementations CVPR 2016 Francisco Massa, Bryan Russell, Mathieu Aubry

This paper presents an end-to-end convolutional neural network (CNN) for 2D-3D exemplar detection.

Convolutional Neural Networks for joint object detection and pose estimation: A comparative study

no code implementations22 Dec 2014 Francisco Massa, Mathieu Aubry, Renaud Marlet

In this paper we study the application of convolutional neural networks for jointly detecting objects depicted in still images and estimating their 3D pose.

General Classification object-detection +2

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