45 citations · 54 across the 7 of their papers we have counts for
7 papers
A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision--Revised
Runmin Wu, Mengyang Feng, Wenlong Guan +3
Though deep learning techniques have made great progress in salient object detection recently, the predicted saliency maps still suffer from incomplete predictions due to the inter…
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images
Biwen Lei, Jianqiang Ren, Mengyang Feng +2
Limited by the nature of the low-dimensional representational capacity of 3DMM, most of the 3DMM-based face reconstruction (FR) methods fail to recover high-frequency facial detail…
An Unsupervised Game-Theoretic Approach to Saliency Detection
Yu Zeng, Huchuan Lu, Ali Borji +1
We propose a novel unsupervised game-theoretic salient object detection algorithm that does not require labeled training data. First, saliency detection problem is formulated as a…
Hierarchical Cellular Automata for Visual Saliency
Yao Qin, Mengyang Feng, Huchuan Lu +1
Saliency detection, finding the most important parts of an image, has become increasingly popular in computer vision. In this paper, we introduce Hierarchical Cellular Automata (HC…
Fixation prediction with a combined model of bottom-up saliency and vanishing point
Mengyang Feng, Ali Borji, Huchuan Lu
By predicting where humans look in natural scenes, we can understand how they perceive complex natural scenes and prioritize information for further high-level visual processing. S…
Vanishing point attracts gaze in free-viewing and visual search tasks
Ali Borji, Mengyang Feng
To investigate whether the vanishing point (VP) plays a significant role in gaze guidance, we ran two experiments. In the first one, we recorded fixations of 10 observers (4 female…
Vanishing Point Attracts Eye Movements in Scene Free-viewing
Ali Borji, Mengyang Feng, Huchuan Lu
Eye movements are crucial in understanding complex scenes. By predicting where humans look in natural scenes, we can understand how they percieve scenes and priotriaze information…