10 citations · 21 across the 6 of their papers we have counts for
8 papers
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…
Advanced Geometry Surface Coding for Dynamic Point Cloud Compression
Jian Xiong, Hao Gao, Miaohui Wang +3
In video-based dynamic point cloud compression (V-PCC), 3D point clouds are projected onto 2D images for compressing with the existing video codecs. However, the existing video cod…
A New Local Transformation Module for Few-shot Segmentation
Yuwei Yang, Fanman Meng, Hongliang Li +3
Few-shot segmentation segments object regions of new classes with a few of manual annotations. Its key step is to establish the transformation module between support images (annota…
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…
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…