33 citations · 52 across the 11 of their papers we have counts for
11 papers
Class Relevance Learning For Out-of-distribution Detection
Butian Xiong, Liguang Zhou, Tin Lun Lam +1
Image classification plays a pivotal role across diverse applications, yet challenges persist when models are deployed in real-world scenarios. Notably, these models falter in dete…
Peer Learning for Unbiased Scene Graph Generation
Liguang Zhou, Junjie Hu, Yuhongze Zhou +2
Unbiased scene graph generation (USGG) is a challenging task that requires predicting diverse and heavily imbalanced predicates between objects in an image. To address this, we pro…
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification
Liguang Zhou, Yuhongze Zhou, Xiaonan Qi +3
Audio-Visual scene understanding is a challenging problem due to the unstructured spatial-temporal relations that exist in the audio signals and spatial layouts of different object…
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation
Liguang Zhou, Yuhongze Zhou, Tin Lun Lam +1
Scene graph generation (SGG) has gained tremendous progress in recent years. However, its underlying long-tailed distribution of predicate classes is a challenging problem. For ext…
Feature Pyramid Attention based Residual Neural Network for Environmental Sound Classification
Liguang Zhou, Yuhongze Zhou, Xiaonan Qi +3
Environmental sound classification (ESC) is a challenging problem due to the unstructured spatial-temporal relations that exist in the sound signals. Recently, many studies have fo…
View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution
Yuhongze Zhou, Liguang Zhou, Tin Lun Lam +1
In recent years, self-supervised denoising methods have shown impressive performance, which circumvent painstaking collection procedure of noisy-clean image pairs in supervised den…
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
Bo Miao, Liguang Zhou, Ajmal Mian +2
Accurate perception of the surrounding scene is helpful for robots to make reasonable judgments and behaviours. Therefore, developing effective scene representation and recognition…
BORM: Bayesian Object Relation Model for Indoor Scene Recognition
Liguang Zhou, Jun Cen, Xingchao Wang +3
Scene recognition is a fundamental task in robotic perception. For human beings, scene recognition is reasonable because they have abundant object knowledge of the real world. The…
Semantic-guided Automatic Natural Image Matting with Trimap Generation Network and Light-weight Non-local Attention
Yuhongze Zhou, Liguang Zhou, Tin Lun Lam +1
Natural image matting aims to precisely separate foreground objects from background using alpha matte. Fully automatic natural image matting without external annotation is challeng…
Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training
Shuai Zhao, Liguang Zhou, Wenxiao Wang +3
The width of a neural network matters since increasing the width will necessarily increase the model capacity. However, the performance of a network does not improve linearly with…
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report
Qi She, Fan Feng, Qi Liu +33
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top finalists (out of over~…