373 citations · 709 across the 54 of their papers we have counts for
5 papers · 1 filter
Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation
Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin +3
We propose a novel plug-and-play (PnP) module for improving depth prediction with taking arbitrary patterns of sparse depths as input. Given any pre-trained depth prediction model,…
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…
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter +3
Convolutional neural network-based approaches for semantic segmentation rely on supervision with pixel-level ground truth, but may not generalize well to unseen image domains. As t…
Adversarial Learning for Semi-Supervised Semantic Segmentation
Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou +2
We propose a method for semi-supervised semantic segmentation using an adversarial network. While most existing discriminators are trained to classify input images as real or fake…
Learning Video-Story Composition via Recurrent Neural Network
Guangyu Zhong, Yi-Hsuan Tsai, Sifei Liu +2
In this paper, we propose a learning-based method to compose a video-story from a group of video clips that describe an activity or experience. We learn the coherence between video…