Search Results for author: Minglang Qiao

Found 6 papers, 6 papers with code

Progressive Training of A Two-Stage Framework for Video Restoration

2 code implementations21 Apr 2022 Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen

As a widely studied task, video restoration aims to enhance the quality of the videos with multiple potential degradations, such as noises, blurs and compression artifacts.

Transfer Learning Video Restoration +2

Joint Learning of Visual-Audio Saliency Prediction and Sound Source Localization on Multi-face Videos

1 code implementation5 Nov 2021 Minglang Qiao, Yufan Liu, Mai Xu, Xin Deng, Bing Li, Weiming Hu, Ali Borji

In this paper, we propose a multitask learning method for visual-audio saliency prediction and sound source localization on multi-face video by leveraging visual, audio and face information.

Saliency Prediction

Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model

1 code implementation ECCV 2020 Yufan Liu, Minglang Qiao, Mai Xu, Bing Li, Weiming Hu, Ali Borji

Inspired by the findings of our investigation, we propose a novel multi-modal video saliency model consisting of three branches: visual, audio and face.

Saliency Prediction

DeepVS: A Deep Learning Based Video Saliency Prediction Approach

1 code implementation ECCV 2018 Lai Jiang, Mai Xu, Tie Liu, Minglang Qiao, Zulin Wang

Hence, an object-to-motion convolutional neural network (OM-CNN) is developed to predict the intra-frame saliency for DeepVS, which is composed of the objectness and motion subnets.

Saliency Prediction Video Saliency Detection +1

Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach

1 code implementation30 Oct 2017 Yuhang Song, Mai Xu, Jianyi Wang, Minglang Qiao, Liangyu Huo, Zulin Wang

Finally, the experiments validate that our approach is effective in both offline and online prediction of HM positions for panoramic video, and that the learned offline-DHP model can improve the performance of online-DHP.

Position reinforcement-learning +1

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