1.9k citations · 4.3k across the 23 of their papers we have counts for
12 papers · 1 filter
Coarse-to-Fine Amodal Segmentation with Shape Prior
Jianxiong Gao, Xuelin Qian, Yikai Wang +4
Amodal object segmentation is a challenging task that involves segmenting both visible and occluded parts of an object. In this paper, we propose a novel approach, called Coarse-to…
Exploring the Optimization Objective of One-Class Classification for Anomaly Detection
Han Gao, Huiyuan Luo, Fei Shen +1
One-class classification (OCC) is a longstanding method for anomaly detection. With the powerful representation capability of the pre-trained backbone, OCC methods have witnessed s…
Cross-CBAM: A Lightweight network for Scene Segmentation
Zhengbin Zhang, Zhenhao Xu, Xingsheng Gu +1
Scene parsing is a great challenge for real-time semantic segmentation. Although traditional semantic segmentation networks have made remarkable leap-forwards in semantic accuracy,…
Apples and Oranges? Assessing Image Quality over Content Recognition
Junyong You, Zheng Zhang
Image recognition and quality assessment are two important viewing tasks, while potentially following different visual mechanisms. This paper investigates if the two tasks can be p…
Discriminative Block-Diagonal Representation Learning for Image Recognition
Zheng Zhang, Yong Xu, Ling Shao +1
Existing block-diagonal representation researches mainly focuses on casting block-diagonal regularization on training data, while only little attention is dedicated to concurrently…
Local Multiple Directional Pattern of Palmprint Image
Lunke Fei, Jie Wen, Zheng Zhang +2
Lines are the most essential and discriminative features of palmprint images, which motivate researches to propose various line direction based methods for palmprint recognition. C…
Natural Scene Character Recognition Using Robust PCA and Sparse Representation
Zheng Zhang, Yong Xu, Cheng-Lin Liu
Natural scene character recognition is challenging due to the cluttered background, which is hard to separate from text. In this paper, we propose a novel method for robust scene c…
Multi-Oriented Text Detection with Fully Convolutional Networks
Zheng Zhang, Chengquan Zhang, Wei Shen +3
In this paper, we propose a novel approach for text detec- tion in natural images. Both local and global cues are taken into account for localizing text lines in a coarse-to-fine p…
A survey of sparse representation: algorithms and applications
Zheng Zhang, Yong Xu, Jian Yang +2
Sparse representation has attracted much attention from researchers in fields of signal processing, image processing, computer vision and pattern recognition. Sparse representation…
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks
Quan Gan, Qipeng Guo, Zheng Zhang +1
In this paper, we propose and study a novel visual object tracking approach based on convolutional networks and recurrent networks. The proposed approach is distinct from the exist…
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao, Yichong Xu, Kuiyuan Yang +3
Fine-grained classification is challenging because categories can only be discriminated by subtle and local differences. Variances in the pose, scale or rotation usually make the p…
Scale-Invariant Convolutional Neural Networks
Yichong Xu, Tianjun Xiao, Jiaxing Zhang +2
Even though convolutional neural networks (CNN) has achieved near-human performance in various computer vision tasks, its ability to tolerate scale variations is limited. The popul…