7 citations · 16 across the 8 of their papers we have counts for
7 papers · 1 filter
Learning with Noisy Low-Cost MOS for Image Quality Assessment via Dual-Bias Calibration
Lei Wang, Qingbo Wu, Desen Yuan +4
Learning based image quality assessment (IQA) models have obtained impressive performance with the help of reliable subjective quality labels, where mean opinion score (MOS) is the…
BA^2M: A Batch Aware Attention Module for Image Classification
Qishang Cheng, Hongliang Li, Qingbo Wu +1
The attention mechanisms have been employed in Convolutional Neural Network (CNN) to enhance the feature representation. However, existing attention mechanisms only concentrate on…
Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint
Kaixu Huang, Fanman Meng, Hongliang Li +3
Class activation map (CAM) highlights regions of classes based on classification network, which is widely used in weakly supervised tasks. However, it faces the problem that the cl…
A New Few-shot Segmentation Network Based on Class Representation
Yuwei Yang, Fanman Meng, Hongliang Li +2
This paper studies few-shot segmentation, which is a task of predicting foreground mask of unseen classes by a few of annotations only, aided by a set of rich annotations already e…
Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking
Lu Sheng, Jianfei Cai, Tat-Jen Cham +2
In this paper, we propose a generative framework that unifies depth-based 3D facial pose tracking and face model adaptation on-the-fly, in the unconstrained scenarios with heavy oc…
MVF-Net: Multi-View 3D Face Morphable Model Regression
Fanzi Wu, Linchao Bao, Yajing Chen +5
We address the problem of recovering the 3D geometry of a human face from a set of facial images in multiple views. While recent studies have shown impressive progress in 3D Morpha…