102 citations · 130 across the 9 of their papers we have counts for
11 papers
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities
Yixin Wang, Yang Zhang, Yang Liu +6
Accurate segmentation of brain tumors from magnetic resonance imaging (MRI) is clinically relevant in diagnoses, prognoses and surgery treatment, which requires multiple modalities…
"Do You Know You Are Tracked by Photos That You Didn't Take": Location-Aware Multi-Party Image Privacy Protection
Joshua Morris, Sara Newman, Kannappan Palaniappan +2
Most existing image privacy protection works focus mainly on the privacy of photo owners and their friends, but lack the consideration of other people who are in the background of…
Cluster-level Feature Alignment for Person Re-identification
Qiuyu Chen, Wei Zhang, Jianping Fan
Instance-level alignment is widely exploited for person re-identification, e.g. spatial alignment, latent semantic alignment and triplet alignment. This paper probes another featur…
Automatic Image Labelling at Pixel Level
Xiang Zhang, Wei Zhang, Jinye Peng +1
The performance of deep networks for semantic image segmentation largely depends on the availability of large-scale training images which are labelled at the pixel level. Typically…
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
Qiuyu Chen, Wei Zhang, Ning Zhou +4
To leverage deep learning for image aesthetics assessment, one critical but unsolved issue is how to seamlessly incorporate the information of image aspect ratios to learn more rob…
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization
Rongcheng Lin, Jing Xiao, Jianping Fan
In this paper, we present and discuss a deep mixture model with online knowledge distillation (MOD) for large-scale video temporal concept localization, which is ranked 3rd in the…