175 citations · 478 across the 28 of their papers we have counts for
28 papers
Handwriting Trajectory Recovery via Autoregressive Ordered Stroke Instance Prediction
En-Guang Wang, Yan-Ming Zhang, Fei Yin +1
Handwriting trajectory recovery aims to infer the dynamic writing process hidden behind a static handwritten image. Since offline handwriting preserves only the final spatial ink p…
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
Wenzhuo Liu, Xinjian Wu, Fei Zhu +3
Deep Neural Network (DNN) has achieved great success on datasets of closed class set. However, new classes, like new categories of social media topics, are continuously added to th…
OpenMix: Exploring Outlier Samples for Misclassification Detection
Fei Zhu, Zhen Cheng, Xu-Yao Zhang +1
Reliable confidence estimation for deep neural classifiers is a challenging yet fundamental requirement in high-stakes applications. Unfortunately, modern deep neural networks are…
Rethinking Confidence Calibration for Failure Prediction
Fei Zhu, Zhen Cheng, Xu-Yao Zhang +1
Reliable confidence estimation for the predictions is important in many safety-critical applications. However, modern deep neural networks are often overconfident for their incorre…
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
Zhen Cheng, Fei Zhu, Xu-Yao Zhang +1
Detecting Out-of-distribution (OOD) inputs have been a critical issue for neural networks in the open world. However, the unstable behavior of OOD detection along the optimization…
Dynamics-Aware Loss for Learning with Label Noise
Xiu-Chuan Li, Xiaobo Xia, Fei Zhu +3
Label noise poses a serious threat to deep neural networks (DNNs). Employing robust loss functions which reconcile fitting ability with robustness is a simple but effective strateg…
A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram
Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu
Geometry problem solving (GPS) is a high-level mathematical reasoning requiring the capacities of multi-modal fusion and geometric knowledge application. Recently, neural solvers h…
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network
Jian-Hui Chen, Cheng-Lin Liu, Zuoren Wang
Despite the widespread adoption of Backpropagation algorithm-based Deep Neural Networks, the biological infeasibility of the BP algorithm could potentially limit the evolution of n…
Plane Geometry Diagram Parsing
Ming-Liang Zhang, Fei Yin, Yi-Han Hao +1
Geometry diagram parsing plays a key role in geometry problem solving, wherein the primitive extraction and relation parsing remain challenging due to the complex layout and betwee…
Document Dewarping with Control Points
Guo-Wang Xie, Fei Yin, Xu-Yao Zhang +1
Document images are now widely captured by handheld devices such as mobile phones. The OCR performance on these images are largely affected due to geometric distortion of the docum…
Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks
Yuqi Wang, Xu-Yao Zhang, Cheng-Lin Liu +1
Representation is a core issue in artificial intelligence. Humans use discrete language to communicate and learn from each other, while machines use continuous features (like vecto…
Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network
Guo-Wang Xie, Fei Yin, Xu-Yao Zhang +1
As camera-based documents are increasingly used, the rectification of distorted document images becomes a need to improve the recognition performance. In this paper, we propose a n…
Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm
Mengbiao Zhao, Wei Feng, Fei Yin +2
Arbitrary-shaped text detection is an important and challenging task in computer vision. Most existing methods require heavy data labeling efforts to produce polygon-level text reg…
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen
The accuracies for many pattern recognition tasks have increased rapidly year by year, achieving or even outperforming human performance. From the perspective of accuracy, pattern…
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019
Nibal Nayef, Yash Patel, Michal Busta +8
With the growing cosmopolitan culture of modern cities, the need of robust Multi-Lingual scene Text (MLT) detection and recognition systems has never been more immense. With the go…
Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
Xiaobing Wang, Yingying Jiang, Zhenbo Luo +3
Scene text detection attracts much attention in computer vision, because it can be widely used in many applications such as real-time text translation, automatic information entry,…
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
Zhao Zhong, Zichen Yang, Boyang Deng +4
Convolutional neural networks have gained a remarkable success in computer vision. However, most usable network architectures are hand-crafted and usually require expertise and ela…
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks
Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu
Anomaly detection aims to detect abnormal events by a model of normality. It plays an important role in many domains such as network intrusion detection, criminal activity identity…
SCAN: Sliding Convolutional Attention Network for Scene Text Recognition
Yi-Chao Wu, Fei Yin, Xu-Yao Zhang +2
Scene text recognition has drawn great attentions in the community of computer vision and artificial intelligence due to its challenges and wide applications. State-of-the-art recu…
Robust Classification with Convolutional Prototype Learning
Hong-Ming Yang, Xu-Yao Zhang, Fei Yin +1
Convolutional neural networks (CNNs) have been widely used for image classification. Despite its high accuracies, CNN has been shown to be easily fooled by some adversarial example…
Scene Text Recognition with Sliding Convolutional Character Models
Fei Yin, Yi-Chao Wu, Xu-Yao Zhang +1
Scene text recognition has attracted great interests from the computer vision and pattern recognition community in recent years. State-of-the-art methods use concolutional neural n…
Practical Block-wise Neural Network Architecture Generation
Zhao Zhong, Junjie Yan, Wei Wu +2
Convolutional neural networks have gained a remarkable success in computer vision. However, most usable network architectures are hand-crafted and usually require expertise and ela…
Deep Direct Regression for Multi-Oriented Scene Text Detection
Wenhao He, Xu-Yao Zhang, Fei Yin +1
In this paper, we first provide a new perspective to divide existing high performance object detection methods into direct and indirect regressions. Direct regression performs boun…
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang +2
Recent deep learning based approaches have achieved great success on handwriting recognition. Chinese characters are among the most widely adopted writing systems in the world. Pre…