77 citations · 403 across the 38 of their papers we have counts for
6 papers · 1 filter
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
Wei-Hong Lin, Jia-Xing Zhong, Shan Liu +2
Generic object detection algorithms have proven their excellent performance in recent years. However, object detection on underwater datasets is still less explored. In contrast to…
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Xiaoming Yu, Yuanqi Chen, Thomas Li +2
Recent advances of image-to-image translation focus on learning the one-to-many mapping from two aspects: multi-modal translation and multi-domain translation. However, the existin…
StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Yurui Ren, Xiaoming Yu, Ruonan Zhang +3
Image inpainting techniques have shown significant improvements by using deep neural networks recently. However, most of them may either fail to reconstruct reasonable structures o…
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network
Zhangheng Li, Jia-Xing Zhong, Jingjia Huang +3
In recent years, memory-augmented neural networks(MANNs) have shown promising power to enhance the memory ability of neural networks for sequential processing tasks. However, previ…
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds
Wei Yan, Yiting shao, Shan Liu +3
Point cloud is a fundamental 3D representation which is widely used in real world applications such as autonomous driving. As a newly-developed media format which is characterized…
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Jia-Xing Zhong, Nannan Li, Weijie Kong +3
Video anomaly detection under weak labels is formulated as a typical multiple-instance learning problem in previous works. In this paper, we provide a new perspective, i.e., a supe…