355 citations · 2.9k across the 115 of their papers we have counts for
6 papers · 1 filter
Situation Recognition with Graph Neural Networks
Ruiyu Li, Makarand Tapaswi, Renjie Liao +3
We address the problem of recognizing situations in images. Given an image, the task is to predict the most salient verb (action), and fill its semantic roles such as who is perfor…
Automatic Real-time Background Cut for Portrait Videos
Xiaoyong Shen, Ruixing Wang, Hengshuang Zhao +1
We in this paper solve the problem of high-quality automatic real-time background cut for 720p portrait videos. We first handle the background ambiguity issue in semantic segmentat…
Detail-revealing Deep Video Super-resolution
Xin Tao, Hongyun Gao, Renjie Liao +2
Previous CNN-based video super-resolution approaches need to align multiple frames to the reference. In this paper, we show that proper frame alignment and motion compensation is c…
High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits
Xiaoyong Shen, Hongyun Gao, Xin Tao +2
Estimating correspondence between two images and extracting the foreground object are two challenges in computer vision. With dual-lens smart phones, such as iPhone 7Plus and Huawe…
Convolutional Neural Pyramid for Image Processing
Xiaoyong Shen, Ying-Cong Chen, Xin Tao +1
We propose a principled convolutional neural pyramid (CNP) framework for general low-level vision and image processing tasks. It is based on the essential finding that many applica…
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen +2
We focus on the challenging task of real-time semantic segmentation in this paper. It finds many practical applications and yet is with fundamental difficulty of reducing a large p…