activity
20172021
most citedSpatio-Temporal Self-Attention Network for Video Saliency Prediction

74 citations · 266 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2021★ 74 cited

Spatio-Temporal Self-Attention Network for Video Saliency Prediction

Ziqiang Wang, Zhi Liu, Gongyang Li +4

3D convolutional neural networks have achieved promising results for video tasks in computer vision, including video saliency prediction that is explored in this paper. However, 3D…

cs.CV2021★ 53 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.CV2020★ 7 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.CV2020★ 48 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.CV2019★ 46 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.CV2018★ 5 cited

Learning Semantic Segmentation with Diverse Supervision

Linwei Ye, Zhi Liu, Yang Wang

Models based on deep convolutional neural networks (CNN) have significantly improved the performance of semantic segmentation. However, learning these models requires a large amoun…

cs.CV2017★ 32 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…

cs.GR2017

Semi-Global Weighted Least Squares in Image Filtering

Wei Liu, Xiaogang Chen, Chuanhua Shen +2

Solving the global method of Weighted Least Squares (WLS) model in image filtering is both time- and memory-consuming. In this paper, we present an alternative approximation in a t…

cs.CV2017★ 1 cited

Computational Model for Predicting Visual Fixations from Childhood to Adulthood

Olivier Le Meur, Antoine Coutrot, Zhi Liu +3

How people look at visual information reveals fundamental information about themselves, their interests and their state of mind. While previous visual attention models output stati…