88 citations · 193 across the 5 of their papers we have counts for
6 papers · 1 filter
Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network
Linwei Ye, Mrigank Rochan, Zhi Liu +2
We consider the problem of referring segmentation in images and videos with natural language. Given an input image (or video) and a referring expression, the goal is to segment the…
Adaptive Video Highlight Detection by Learning from User History
Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye +1
Recently, there is an increasing interest in highlight detection research where the goal is to create a short duration video from a longer video by extracting its interesting momen…
Cross-Modal Weighting Network for RGB-D Salient Object Detection
Gongyang Li, Zhi Liu, Linwei Ye +2
Depth maps contain geometric clues for assisting Salient Object Detection (SOD). In this paper, we propose a novel Cross-Modal Weighting (CMW) strategy to encourage comprehensive i…
Dual Convolutional LSTM Network for Referring Image Segmentation
Linwei Ye, Zhi Liu, Yang Wang
We consider referring image segmentation. It is a problem at the intersection of computer vision and natural language understanding. Given an input image and a referring expression…
Cross-Modal Self-Attention Network for Referring Image Segmentation
Linwei Ye, Mrigank Rochan, Zhi Liu +1
We consider the problem of referring image segmentation. Given an input image and a natural language expression, the goal is to segment the object referred by the language expressi…
Video Summarization Using Fully Convolutional Sequence Networks
Mrigank Rochan, Linwei Ye, Yang Wang
This paper addresses the problem of video summarization. Given an input video, the goal is to select a subset of the frames to create a summary video that optimally captures the im…