130 citations · 316 across the 18 of their papers we have counts for
18 papers
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
Gensheng Pei, Fumin Shen, Yazhou Yao +3
Optical flow is an easily conceived and precious cue for advancing unsupervised video object segmentation (UVOS). Most of the previous methods directly extract and fuse the motion…
Rapid Person Re-Identification via Sub-space Consistency Regularization
Qingze Yin, Guanan Wang, Guodong Ding +3
Person Re-Identification (ReID) matches pedestrians across disjoint cameras. Existing ReID methods adopting real-value feature descriptors have achieved high accuracy, but they are…
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
Yazhou Yao, Tao Chen, Guosen Xie +5
Semantic segmentation aims to classify every pixel of an input image. Considering the difficulty of acquiring dense labels, researchers have recently been resorting to weak labels…
Jo-SRC: A Contrastive Approach for Combating Noisy Labels
Yazhou Yao, Zeren Sun, Chuanyi Zhang +4
Due to the memorization effect in Deep Neural Networks (DNNs), training with noisy labels usually results in inferior model performance. Existing state-of-the-art methods primarily…
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
Tao Chen, Guosen Xie, Yazhou Yao +4
One-shot semantic image segmentation aims to segment the object regions for the novel class with only one annotated image. Recent works adopt the episodic training strategy to mimi…
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones
Huafeng Liu, Chuanyi Zhang, Yazhou Yao +4
Labeling objects at a subordinate level typically requires expert knowledge, which is not always available when using random annotators. As such, learning directly from web images…
Data-driven Meta-set Based Fine-Grained Visual Classification
Chuanyi Zhang, Yazhou Yao, Xiangbo Shu +3
Constructing fine-grained image datasets typically requires domain-specific expert knowledge, which is not always available for crowd-sourcing platform annotators. Accordingly, lea…
Extracting Visual Knowledge from the Internet: Making Sense of Image Data
Yazhou Yao, Jian Zhang, Xiansheng Hua +2
Recent successes in visual recognition can be primarily attributed to feature representation, learning algorithms, and the ever-increasing size of labeled training data. Extensive…
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification
Guodong Ding, Salman Khan, Zhenmin Tang +2
Person re-identification aims to establish the correct identity correspondences of a person moving through a non-overlapping multi-camera installation. Recent advances based on dee…
Deep Representation Learning for Road Detection through Siamese Network
Huafeng Liu, Xiaofeng Han, Xiangrui Li +3
Robust road detection is a key challenge in safe autonomous driving. Recently, with the rapid development of 3D sensors, more and more researchers are trying to fuse information ac…
Road Segmentation with Image-LiDAR Data Fusion
Huafeng Liu, Yazhou Yao, Zeren Sun +3
Robust road segmentation is a key challenge in self-driving research. Though many image-based methods have been studied and high performances in dataset evaluations have been repor…
Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification
Guodong Ding, Shanshan Zhang, Salman Khan +3
Person re-identification aims to match a person's identity across multiple camera streams. Deep neural networks have been successfully applied to the challenging person re-identifi…
Let Features Decide for Themselves: Feature Mask Network for Person Re-identification
Guodong Ding, Salman Khan, Zhenmin Tang +1
Person re-identification aims at establishing the identity of a pedestrian from a gallery that contains images of multiple people obtained from a multi-camera system. Many challeng…
Refining Image Categorization by Exploiting Web Images and General Corpus
Yazhou Yao, Jian Zhang, Fumin Shen +3
Studies show that refining real-world categories into semantic subcategories contributes to better image modeling and classification. Previous image sub-categorization work relying…
Exploiting Web Images for Dataset Construction: A Domain Robust Approach
Yazhou Yao, Jian Zhang, Fumin Shen +3
Labelled image datasets have played a critical role in high-level image understanding. However, the process of manual labelling is both time-consuming and labor intensive. To reduc…
Idology and Its Applications in Public Security and Network Security
Shenghui Su, Jianhua Zheng, Shuwang Lu +3
Fraud (swindling money, property, or authority by fictionizing, counterfeiting, forging, or imitating things, or by feigning other persons privately) forms its threats against publ…
Hashing on Nonlinear Manifolds
Fumin Shen, Chunhua Shen, Qinfeng Shi +3
Learning based hashing methods have attracted considerable attention due to their ability to greatly increase the scale at which existing algorithms may operate. Most of these meth…
Fast Approximate L_infty Minimization: Speeding Up Robust Regression
Fumin Shen, Chunhua Shen, Rhys Hill +2
Minimization of the norm, which can be viewed as approximately solving the non-convex least median estimation problem, is a powerful method for outlier removal and hence…