1 code implementation • 18 Mar 2024 • Tornike Karchkhadze, Hassan Salami Kavaki, Mohammad Rasool Izadi, Bryce Irvin, Mikolaj Kegler, Ari Hertz, Shuo Zhang, Marko Stamenovic
We introduce a new loss term to enhance Foley sound generation in AudioLDM without post-filtering.
no code implementations • 13 Mar 2023 • N Shashaank, Berker Banar, Mohammad Rasool Izadi, Jeremy Kemmerer, Shuo Zhang, Chuan-Che, Huang
In this paper, we propose addressing these challenges using HiSSNet (Hierarchical SED and SID Network).
no code implementations • 21 Jun 2021 • Mohammad Rasool Izadi, Robert Stevenson, Laura N. Kloepper
The weakly supervised sound event detection problem is the task of predicting the presence of sound events and their corresponding starting and ending points in a weakly labeled dataset.
1 code implementation • 21 Aug 2020 • Mohammad Rasool Izadi, Yihao Fang, Robert Stevenson, Lizhen Lin
In this work, we propose to employ information-geometric tools to optimize a graph neural network architecture such as the graph convolutional networks.
Ranked #1 on Node Classification on Cora
no code implementations • 28 Sep 2019 • Mohammad Rasool Izadi
Specifically, we use a shared CNN architecture that jointly predicts facial attributes and recognize face images simultaneously via a shared learning parameters, and then we use facial attribute features an an auxiliary source of information concatenated by face features to increase the discrimination of the CNN for face recognition.