71 citations · 172 across the 15 of their papers we have counts for
15 papers
Cross-modal Cognitive Consensus guided Audio-Visual Segmentation
Zhaofeng Shi, Qingbo Wu, Fanman Meng +2
Audio-Visual Segmentation (AVS) aims to extract the sounding object from a video frame, which is represented by a pixel-wise segmentation mask for application scenarios such as mul…
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
Chen Shuai, Meng Fanman, Zhang Runtong +4
Few-shot segmentation (FSS) aims to segment the novel classes with a few annotated images. Due to CLIP's advantages of aligning visual and textual information, the integration of C…
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning
Linfeng Xu, Qingbo Wu, Lili Pan +6
With the rapid development of wearable cameras, a massive collection of egocentric video for first-person visual perception becomes available. Using egocentric videos to predict fi…
Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment
Rui Ma, Qingbo Wu, King Ngi Ngan +3
Recent years have witnessed the great success of blind image quality assessment (BIQA) in various task-specific scenarios, which present invariable distortion types and evaluation…
RefCrowd: Grounding the Target in Crowd with Referring Expressions
Heqian Qiu, Hongliang Li, Taijin Zhao +3
Crowd understanding has aroused the widespread interest in vision domain due to its important practical significance. Unfortunately, there is no effort to explore crowd understandi…
Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning
Haoran Wei, Qingbo Wu, Hui Li +4
Due to the lack of natural scene and haze prior information, it is greatly challenging to completely remove the haze from a single image without distorting its visual content. Fort…
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…
Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion
Fanman Meng, Kaixu Huang, Hongliang Li +1
Existing method generates class activation map (CAM) by a set of fixed classes (i.e., using all the classes), while the discriminative cues between class pairs are not considered.…
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…
A Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment
Qingbo Wu, Hongliang Li, Fanman Meng +1
In the field of objective image quality assessment (IQA), the Spearman's and Kendall's are two most popular rank correlation indicators, which straightforwardly assign unif…