43 citations · 85 across the 7 of their papers we have counts for
8 papers
Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark Detection
Rongye Meng, Sanping Zhou, Xingyu Wan +2
Due to the high annotation cost of large-scale facial landmark detection tasks in videos, a semi-supervised paradigm that uses self-training for mining high-quality pseudo-labels t…
End-to-End Multi-Object Tracking with Global Response Map
Xingyu Wan, Jiakai Cao, Sanping Zhou +1
Most existing Multi-Object Tracking (MOT) approaches follow the Tracking-by-Detection paradigm and the data association framework where objects are firstly detected and then associ…
Meta Corrupted Pixels Mining for Medical Image Segmentation
Jixin Wang, Sanping Zhou, Chaowei Fang +2
Deep neural networks have achieved satisfactory performance in piles of medical image analysis tasks. However the training of deep neural network requires a large amount of samples…
Multiple Object Tracking by Flowing and Fusing
Jimuyang Zhang, Sanping Zhou, Xin Chang +4
Most of Multiple Object Tracking (MOT) approaches compute individual target features for two subtasks: estimating target-wise motions and conducting pair-wise Re-Identification (Re…
Frame-wise Motion and Appearance for Real-time Multiple Object Tracking
Jimuyang Zhang, Sanping Zhou, Jinjun Wang +1
The main challenge of Multiple Object Tracking (MOT) is the efficiency in associating indefinite number of objects between video frames. Standard motion estimators used in tracking…
SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection
Sanping Zhou, Jimuyang Zhang, Jinjun Wang +2
Deep convolutional neural network significantly boosted the capability of salient object detection in handling large variations of scenes and object appearances. However, convoluti…