79 citations · 346 across the 26 of their papers we have counts for
9 papers · 1 filter
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…