79 citations · 346 across the 26 of their papers we have counts for
26 papers
MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification
Yukang Zhang, Yan Yan, Jie Li +1
Visible-infrared person re-identification (VI-ReID), which aims to search identities across different spectra, is a challenging task due to large cross-modality discrepancy between…
DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection
Jingyu Lin, Jie Jiang, Yan Yan +4
The prosperity of deep learning contributes to the rapid progress in scene text detection. Among all the methods with convolutional networks, segmentation-based ones have drawn ext…
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
Xinyi Zou, Yan Yan, Jing-Hao Xue +2
Most existing compound facial expression recognition (FER) methods rely on large-scale labeled compound expression data for training. However, collecting such data is labor-intensi…
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes
Xi Weng, Yan Yan, Genshun Dong +4
Real-time semantic segmentation, which aims to achieve high segmentation accuracy at real-time inference speed, has received substantial attention over the past few years. However,…
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes
Xi Weng, Yan Yan, Si Chen +2
Over the past few years, deep convolutional neural network-based methods have made great progress in semantic segmentation of street scenes. Some recent methods align feature maps…
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Xinyi Zou, Yan Yan, Jing-Hao Xue +2
Human emotions involve basic and compound facial expressions. However, current research on facial expression recognition (FER) mainly focuses on basic expressions, and thus fails t…
Event Data Association via Robust Model Fitting for Event-based Object Tracking
Haosheng Chen, Yue Wu, Yidong Peng
Event-based approaches, which are based on bio-inspired asynchronous event cameras, have achieved promising performance on various computer vision tasks. However, the study of the…
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning
Lijian Lin, Haosheng Chen, Yanjie Liang +2
In recent years, Convolutional Neural Network (CNN) based trackers have achieved state-of-the-art performance on multiple benchmark datasets. Most of these trackers train a binary…
Correlation filter tracking with adaptive proposal selection for accurate scale estimation
Luo Xiong, Yanjie Liang, Yan Yan +1
Recently, some correlation filter based trackers with detection proposals have achieved state-of-the-art tracking results. However, a large number of redundant proposals given by t…
Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes
Genshun Dong, Yan Yan, Chunhua Shen +1
Deep Convolutional Neural Networks (DCNNs) have recently shown outstanding performance in semantic image segmentation. However, state-of-the-art DCNN-based semantic segmentation me…
Learning Object Scale With Click Supervision for Object Detection
Liao Zhang, Yan Yan, Lin Cheng +1
Weakly-supervised object detection has recently attracted increasing attention since it only requires image-levelannotations. However, the performance obtained by existingmethods i…
Hypergraph Optimization for Multi-structural Geometric Model Fitting
Shuyuan Lin, Guobao Xiao, Yan Yan +2
Recently, some hypergraph-based methods have been proposed to deal with the problem of model fitting in computer vision, mainly due to the superior capability of hypergraph to repr…
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification
Longbiao Mao, Yan Yan, Jing-Hao Xue +1
Facial Attribute Classification (FAC) has attracted increasing attention in computer vision and pattern recognition. However, state-of-the-art FAC methods perform face detection/al…
Adaptive Deep Metric Embeddings for Person Re-Identification under Occlusions
Wanxiang Yang, Yan Yan, Si Chen
Person re-identification (ReID) under occlusions is a challenging problem in video surveillance. Most of existing person ReID methods take advantage of local features to deal with…
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation
Yihan Du, Yan Yan, Si Chen +1
In recent years, deep learning based visual tracking methods have obtained great success owing to the powerful feature representation ability of Convolutional Neural Networks (CNNs…
Joint Deep Learning of Facial Expression Synthesis and Recognition
Yan Yan, Ying Huang, Si Chen +2
Recently, deep learning based facial expression recognition (FER) methods have attracted considerable attention and they usually require large-scale labelled training data. Nonethe…
Multi-task Learning of Cascaded CNN for Facial Attribute Classification
Ni Zhuang, Yan Yan, Si Chen +1
Recently, facial attribute classification (FAC) has attracted significant attention in the computer vision community. Great progress has been made along with the availability of ch…
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification
Ni Zhuang, Yan Yan, Si Chen +2
Deep Neural Network (DNN) has recently achieved outstanding performance in a variety of computer vision tasks, including facial attribute classification. The great success of class…
Superpixel-guided Two-view Deterministic Geometric Model Fitting
Guobao Xiao, Hanzi Wang, Yan Yan +1
Geometric model fitting is a fundamental research topic in computer vision and it aims to fit and segment multiple-structure data. In this paper, we propose a novel superpixel-guid…
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting
Hanzi Wang, Guobao Xiao, Yan Yan +1
In this paper, we propose a simple and effective {geometric} model fitting method to fit and segment multi-structure data even in the presence of severe outliers. We cast the task…
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression
Guanjun Guo, Hanzi Wang, Chunhua Shen +2
Despite recent progress, computational visual aesthetic is still challenging. Image cropping, which refers to the removal of unwanted scene areas, is an important step to improve t…
Object Discovery via Cohesion Measurement
Guanjun Guo, Hanzi Wang, Wan-Lei Zhao +2
Color and intensity are two important components in an image. Usually, groups of image pixels, which are similar in color or intensity, are an informative representation for an obj…
Revisiting Graph Construction for Fast Image Segmentation
Zizhao Zhang, Fuyong Xing, Hanzi Wang +4
In this paper, we propose a simple but effective method for fast image segmentation. We re-examine the locality-preserving character of spectral clustering by constructing a graph…
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting
Hanzi Wang, Guobao Xiao, Yan Yan +1
In this paper, we propose a novel geometric model fitting method, called Mode-Seeking on Hypergraphs (MSH),to deal with multi-structure data even in the presence of severe outliers…