48 citations · 67 across the 2 of their papers we have counts for
3 papers
Fast and Accurate Online Video Object Segmentation via Tracking Parts
Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung +2
Online video object segmentation is a challenging task as it entails to process the image sequence timely and accurately. To segment a target object through the video, numerous CNN…
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang +1
This paper proposes an end-to-end trainable network, SegFlow, for simultaneously predicting pixel-wise object segmentation and optical flow in videos. The proposed SegFlow has two…
Learning to Segment Instances in Videos with Spatial Propagation Network
Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai +6
We propose a deep learning-based framework for instance-level object segmentation. Our method mainly consists of three steps. First, We train a generic model based on ResNet-101 fo…