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20162025
most citedA Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment

71 citations · 126 across the 16 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

eess.IV2019★ 2 cited

Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image

Qingbo Wu, Lei Wang, King N. Ngan +3

Images acquired by outdoor vision systems easily suffer poor visibility and annoying interference due to the rainy weather, which brings great challenge for accurately understandin…

cs.CV2019★ 1 cited

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…

cs.CV2019★ 1 cited

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…

cs.CV2019

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…

cs.CV2019★ 7 cited

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…

cs.CV2019★ 2 cited

Hierarchy Neighborhood Discriminative Hashing for An Unified View of Single-Label and Multi-Label Image retrieval

Lei Ma, Hongliang Li, Qingbo Wu +2

Recently, deep supervised hashing methods have become popular for large-scale image retrieval task. To preserve the semantic similarity notion between examples, they typically util…