Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction

no code implementations • 17 Sep 2021 • Hailong Ning, Bin Zhao, Zhanxuan Hu, Lang He, Ercheng Pei

Motivated by this, an audio-visual collaborative representation learning method is proposed for the DSP task, which explores the audio modality to better predict the dynamic saliency map by assisting vision modality.

Representation Learning Saliency Prediction +1

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms

no code implementations • 2 Jul 2019 • Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong. Li, Heng Huang

This work aims at solving the problems with intractable sparsity-inducing norms that are often encountered in various machine learning tasks, such as multi-task learning, subspace clustering, feature selection, robust principal component analysis, and so on.

BIG-bench Machine Learning Clustering +2

Low Rank Regularization: A Review

no code implementations • 14 Aug 2018 • Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li

Low rank regularization, in essence, involves introducing a low rank or approximately low rank assumption for matrix we aim to learn, which has achieved great success in many fields including machine learning, data mining and computer version.

BIG-bench Machine Learning Image Denoising