activity
20172021
most citedPersonal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation

53 citations · 187 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV202153 cited

Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation

Gongyang Li, Zhi Liu, Ran Shi +5

As a natural way for human-computer interaction, fixation provides a promising solution for interactive image segmentation. In this paper, we focus on Personal Fixations-based Obje…

cs.CV20207 cited

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…

cs.CV202048 cited

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…

cs.CV2019

Deep Saliency Models : The Quest For The Loss Function

Alexandre Bruckert, Hamed R. Tavakoli, Zhi Liu +2

Recent advances in deep learning have pushed the performances of visual saliency models way further than it has ever been. Numerous models in the literature present new ways to des…

cs.CV201946 cited

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…

cs.CV201732 cited

Face Parsing via a Fully-Convolutional Continuous CRF Neural Network

Lei Zhou, Zhi Liu, Xiangjian He

In this work, we address the face parsing task with a Fully-Convolutional continuous CRF Neural Network (FC-CNN) architecture. In contrast to previous face parsing methods that app…