16 citations · 16 across the 3 of their papers we have counts for
4 papers
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations
Peidong Liu, Zibin He, Xiyu Yan +4
Compared with tedious per-pixel mask annotating, it is much easier to annotate data by clicks, which costs only several seconds for an image. However, applying clicks to learn vide…
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
Peidong Liu, Gengwei Zhang, Bochao Wang +4
Designing proper loss functions for vision tasks has been a long-standing research direction to advance the capability of existing models. For object detection, the well-establishe…
Deep Flow Collaborative Network for Online Visual Tracking
Peidong Liu, Xiyu Yan, Yong Jiang +1
The deep learning-based visual tracking algorithms such as MDNet achieve high performance leveraging to the feature extraction ability of a deep neural network. However, the tracki…
Visual Privacy Protection via Mapping Distortion
Yiming Li, Peidong Liu, Yong Jiang +1
Privacy protection is an important research area, which is especially critical in this big data era. To a large extent, the privacy of visual classification data is mainly in the m…