Search Results for author: Yangsheng Xu

Found 9 papers, 3 papers with code

Peer Learning for Unbiased Scene Graph Generation

no code implementations31 Dec 2022 Liguang Zhou, Junjie Hu, Yuhongze Zhou, Tin Lun Lam, Yangsheng Xu

Unbiased scene graph generation (USGG) is a challenging task that requires predicting diverse and heavily imbalanced predicates between objects in an image.

Graph Generation Unbiased Scene Graph Generation

Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification

no code implementations31 Dec 2022 Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Tin Lun Lam, Yangsheng Xu

Then, to build multi-scale hierarchical information of input features, we utilize an attention fusion mechanism to aggregate features from multiple layers of the backbone network.

Scene Classification Scene Recognition +1

Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation

no code implementations15 Aug 2022 Liguang Zhou, Yuhongze Zhou, Tin Lun Lam, Yangsheng Xu

Specifically, we propose to integrate the mixture of experts with a divide and ensemble strategy to remedy the severely long-tailed distribution of predicate classes, which is applicable to the majority of unbiased scene graph generators.

Graph Generation object-detection +2

View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution

no code implementations10 Sep 2021 Yuhongze Zhou, Liguang Zhou, Tin Lun Lam, Yangsheng Xu

Our MGRConv can be regarded as soft partial convolution and find a trade-off among partial convolution, learnable attention maps, and gated convolution.

Denoising

Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition

1 code implementation1 Aug 2021 Bo Miao, Liguang Zhou, Ajmal Mian, Tin Lun Lam, Yangsheng Xu

The final results in this work show that OTS successfully extracts object features and learns object relations from the segmentation network.

Object Scene Recognition

BORM: Bayesian Object Relation Model for Indoor Scene Recognition

1 code implementation1 Aug 2021 Liguang Zhou, Jun Cen, Xingchao Wang, Zhenglong Sun, Tin Lun Lam, Yangsheng Xu

First, we utilize an improved object model (IOM) as a baseline that enriches the object knowledge by introducing a scene parsing algorithm pretrained on the ADE20K dataset with rich object categories related to the indoor scene.

Object Relation +1

Semantic-guided Automatic Natural Image Matting with Trimap Generation Network and Light-weight Non-local Attention

no code implementations31 Mar 2021 Yuhongze Zhou, Liguang Zhou, Tin Lun Lam, Yangsheng Xu

This paper presents a semantic-guided automatic natural image matting pipeline with Trimap Generation Network and light-weight non-local attention, which does not need trimap and background as input.

Foreground Segmentation Image Matting +1

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