124 citations · 297 across the 26 of their papers we have counts for
26 papers
Spectrum-guided Multi-granularity Referring Video Object Segmentation
Bo Miao, Mohammed Bennamoun, Yongsheng Gao +1
Current referring video object segmentation (R-VOS) techniques extract conditional kernels from encoded (low-resolution) vision-language features to segment the decoded high-resolu…
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification
Yi Liao, Yongsheng Gao, Weichuan Zhang
Decisions made by convolutional neural networks(CNN) can be understood and explained by visualizing discriminative regions on images. To this end, Class Activation Map (CAM) based…
Region Aware Video Object Segmentation with Deep Motion Modeling
Bo Miao, Mohammed Bennamoun, Yongsheng Gao +1
Current semi-supervised video object segmentation (VOS) methods usually leverage the entire features of one frame to predict object masks and update memory. This introduces signifi…
Distribution-aware Margin Calibration for Semantic Segmentation in Images
Litao Yu, Zhibin Li, Min Xu +3
The Jaccard index, also known as Intersection-over-Union (IoU), is one of the most critical evaluation metrics in image semantic segmentation. However, direct optimization of IoU s…
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization
Yajie Sun, Miaohua Zhang, Xiaohan Yu +2
Fine-grained visual categorization (FGVC), which aims at classifying objects with small inter-class variances, has been significantly advanced in recent years. However, ultra-fine-…
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization
Zicheng Pan, Xiaohan Yu, Miaohua Zhang +1
While the fine-grained visual categorization (FGVC) problems have been greatly developed in the past years, the Ultra-fine-grained visual categorization (Ultra-FGVC) problems have…
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification
Weichuan Zhang, Xuefang Liu, Zhe Xue +2
Metric-based few-shot fine-grained image classification (FSFGIC) aims to learn a transferable feature embedding network by estimating the similarities between query images and supp…
Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation
Bo Miao, Mohammed Bennamoun, Yongsheng Gao +1
We propose a self-supervised spatio-temporal matching method, coined Motion-Aware Mask Propagation (MAMP), for video object segmentation. MAMP leverages the frame reconstruction ta…
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
Jun Wang, Xiaohan Yu, Yongsheng Gao
The core for tackling the fine-grained visual categorization (FGVC) is to learn subtle yet discriminative features. Most previous works achieve this by explicitly selecting the dis…
EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation
Jun Wang, Yang Zhao, Linglong Qian +2
The precise detection of blood vessels in retinal images is crucial to the early diagnosis of the retinal vascular diseases, e.g., diabetic, hypertensive and solar retinopathies. E…
Image Feature Information Extraction for Interest Point Detection: A Review
Junfeng Jing, Tian Gao, Weichuan Zhang +2
Interest point detection is one of the most fundamental and critical problems in computer vision and image processing. In this paper, we carry out a comprehensive review on image f…
Mask Guided Attention For Fine-Grained Patchy Image Classification
Jun Wang, Xiaohan Yu, Yongsheng Gao
In this work, we present a novel mask guided attention (MGA) method for fine-grained patchy image classification. The key challenge of fine-grained patchy image classification lies…
Multi-layer Feature Aggregation for Deep Scene Parsing Models
Litao Yu, Yongsheng Gao, Jun Zhou +2
Scene parsing from images is a fundamental yet challenging problem in visual content understanding. In this dense prediction task, the parsing model assigns every pixel to a catego…
Parameter Efficient Deep Neural Networks with Bilinear Projections
Litao Yu, Yongsheng Gao, Jun Zhou +1
Recent research on deep neural networks (DNNs) has primarily focused on improving the model accuracy. Given a proper deep learning framework, it is generally possible to increase t…
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy
Miaohua Zhang, Yongsheng Gao, Changming Sun +1
Traditional tensor decomposition methods, e.g., two dimensional principal component analysis and two dimensional singular value decomposition, that minimize mean square errors, are…
A Robust Matching Pursuit Algorithm Using Information Theoretic Learning
Miaohua Zhang, Yongsheng Gao, Changming Sun +1
Current orthogonal matching pursuit (OMP) algorithms calculate the correlation between two vectors using the inner product operation and minimize the mean square error, which are b…
A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition
Miaohua Zhang, Yongsheng Gao
Two-dimensional singular decomposition (2DSVD) has been widely used for image processing tasks, such as image reconstruction, classification, and clustering. However, traditional 2…
A Unified Weight Learning and Low-Rank Regression Model for Robust Complex Error Modeling
Miaohua Zhang, Yongsheng Gao, Jun Zhou
One of the most important problems in regression-based error model is modeling the complex representation error caused by various corruptions and environment changes in images. For…
Deep Residual-Dense Lattice Network for Speech Enhancement
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao +3
Convolutional neural networks (CNNs) with residual links (ResNets) and causal dilated convolutional units have been the network of choice for deep learning approaches to speech enh…
Patchy Image Structure Classification Using Multi-Orientation Region Transform
Xiaohan Yu, Yang Zhao, Yongsheng Gao +2
Exterior contour and interior structure are both vital features for classifying objects. However, most of the existing methods consider exterior contour feature and internal struct…
From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images
Bin Wang, Yongsheng Gao, Xiaohan Yu +3
Leaf image recognition techniques have been actively researched for plant species identification. However it remains unclear whether leaf patterns can provide sufficient informatio…
MobileFAN: Transferring Deep Hidden Representation for Face Alignment
Yang Zhao, Yifan Liu, Chunhua Shen +2
Facial landmark detection is a crucial prerequisite for many face analysis applications. Deep learning-based methods currently dominate the approach of addressing the facial landma…
Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization
Yiyun Pan, Junwei Zhou, Yongsheng Gao +1
Robust facial landmark localization remains a challenging task when faces are partially occluded. Recently, the cascaded pose regression has attracted increasing attentions, due to…
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew +3
Image segmentation is considered to be one of the critical tasks in hyperspectral remote sensing image processing. Recently, convolutional neural network (CNN) has established itse…