12 citations · 20 across the 5 of their papers we have counts for
5 papers
Towards Good Practices for Instance Segmentation
Dongdong Yu, Zehuan Yuan, Jinlai Liu +2
Instance Segmentation is an interesting yet challenging task in computer vision. In this paper, we conduct a series of refinements with the Hybrid Task Cascade (HTC) Network, and e…
Towards Good Practices for Multi-Person Pose Estimation
Dongdong Yu, Kai Su, Changhu Wang
Multi-Person Pose Estimation is an interesting yet challenging task in computer vision. In this paper, we conduct a series of refinements with the MSPN and PoseFix Networks, and em…
Towards Good Practices for Video Object Segmentation
Dongdong Yu, Kai Su, Hengkai Guo +6
Semi-supervised video object segmentation is an interesting yet challenging task in machine learning. In this work, we conduct a series of refinements with the propagation-based vi…
Modularized Morphing of Neural Networks
Tao Wei, Changhu Wang, Chang Wen Chen
In this work we study the problem of network morphism, an effective learning scheme to morph a well-trained neural network to a new one with the network function completely preserv…
Surveillance Video Parsing with Single Frame Supervision
Si Liu, Changhu Wang, Ruihe Qian +2
Surveillance video parsing, which segments the video frames into several labels, e.g., face, pants, left-leg, has wide applications. However,pixel-wisely annotating all frames is t…