314 citations
- Université d'Évry Val-d'EssonneFR19 papers
- Centre National de la Recherche ScientifiqueFR15 papers
- Université Paris-SaclayFR12 papers
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- Institut national de recherche en sciences et technologies du numériqueFR6 papers
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- Université Pierre-et-Marie-CurieFR5 papers
- Institut de Recherche en Informatique de ToulouseFR4 papers
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7 papers · 1 filter
Neural-Enhanced Dynamic Range Compression Inversion: A Hybrid Approach for Restoring Audio Dynamics
Haoran Sun, Dominique Fourer, Hichem Maaref
Dynamic Range Compression (DRC) is a widely used audio effect that adjusts signal dynamics for applications in music production, broadcasting, and speech processing. Inverting DRC…
DJ Mix Transcription with Multi-Pass Non-Negative Matrix Factorization
Étienne Paul André, Dominique Fourer, Diemo Schwarz
DJ mix transcription is a crucial step towards DJ mix reverse engineering, which estimates the set of parameters and audio effects applied to a set of existing tracks to produce a…
Trustworthiness of Stochastic Gradient Descent in Distributed Learning
Hongyang Li, Caesar Wu, Mohammed Chadli +2
Distributed learning (DL) uses multiple nodes to accelerate training, enabling efficient optimization of large-scale models. Stochastic Gradient Descent (SGD), a key optimization a…
Adaptive Pruning with Module Robustness Sensitivity: Balancing Compression and Robustness
Lincen Bai, Hedi Tabia, Raúl Santos-Rodríguez
Neural network pruning has traditionally focused on weight-based criteria to achieve model compression, frequently overlooking the crucial balance between adversarial robustness an…
Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach
Salah Eddine Laidoudi, Madjid Maidi, Samir Otmane
Real-time object detection in indoor settings is a challenging area of computer vision, faced with unique obstacles such as variable lighting and complex backgrounds. This field ho…
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference
Ayman Beghdadi, Azeddine Beghdadi, Mohib Ullah +2
Scene understanding plays an important role in several high-level computer vision applications, such as autonomous vehicles, intelligent video surveillance, or robotics. However, t…