98 citations · 129 across the 6 of their papers we have counts for
7 papers
Learning to Highlight Audio by Watching Movies
Chao Huang, Ruohan Gao, J. M. F. Tsang +5
Recent years have seen a significant increase in video content creation and consumption. Crafting engaging content requires the careful curation of both visual and audio elements.…
A Framework for the Robust Evaluation of Sound Event Detection
Cagdas Bilen, Giacomo Ferroni, Francesco Tuveri +2
This work defines a new framework for performance evaluation of polyphonic sound event detection (SED) systems, which overcomes the limitations of the conventional collar-based eve…
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)
L. Jacques, C. De Vleeschouwer, Y. Boursier +64
The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between interna…
Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit
Cagdas Bilen, Gilles Puy, Rémi Gribonval +1
We investigate the methods that simultaneously enforce sparsity and low-rank structure in a matrix as often employed for sparse phase retrieval problems or phase calibration proble…
Convex Optimization Approaches for Blind Sensor Calibration using Sparsity
Cagdas Bilen, Gilles Puy, Rémi Gribonval +1
We investigate a compressive sensing framework in which the sensors introduce a distortion to the measurements in the form of unknown gains. We focus on blind calibration, using me…
Compressed Sensing for Moving Imagery in Medical Imaging
Cagdas Bilen, Yao Wang, Ivan Selesnick
Numerous applications in signal processing have benefited from the theory of compressed sensing which shows that it is possible to reconstruct signals sampled below the Nyquist rat…
High Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing
Cagdas Bilen, Yao Wang, Ivan Selesnick
Magnetic Resonance Imaging (MRI) is one of the fields that the compressed sensing theory is well utilized to reduce the scan time significantly leading to faster imaging or higher…