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- research-articleJanuary 2024
BehaviorNet: A Fine-grained Behavior-aware Network for Dynamic Link Prediction
ACM Transactions on the Web (TWEB), Volume 18, Issue 2Article No.: 25, Pages 1–26https://doi.org/10.1145/3580514Dynamic link prediction has become a trending research subject because of its wide applications in the web, sociology, transportation, and bioinformatics. Currently, the prevailing approach for dynamic link prediction is based on graph neural networks, in ...
- research-articleOctober 2023
Self-Supervised Cross-Language Scene Text Editing
MM '23: Proceedings of the 31st ACM International Conference on MultimediaOctober 2023, Pages 4546–4554https://doi.org/10.1145/3581783.3612174We propose and formulate the task of cross-language scene text editing, modifying the text content of a scene image into new text in another language, while preserving the scene text style and background texture. The key challenges of this task lie in ...
- research-articleSeptember 2023
Dual attentional transformer for video visual relation prediction
AbstractVideo visual relation detecti on (VidVRD) is to detect visual relations among instances as well as the trajectories of the corresponding subjects and objects in the video. Most current works improve the accuracy of tracking the objects ...
- ArticleAugust 2023
Multimodal Scoring Model for Handwritten Chinese Essay
Document Analysis and Recognition - ICDAR 2023Aug 2023, Pages 505–519https://doi.org/10.1007/978-3-031-41676-7_29AbstractEssay writing plays a critical role in Chinese language skill teaching. With the smart education becomes a hot topic, the demand for automatic essay scoring (AES) has been emerging among teachers and students. Existing works frequently ignore the ...
- ArticleDecember 2022
FPRNet: End-to-End Full-Page Recognition Model for Handwritten Chinese Essay
Frontiers in Handwriting RecognitionDec 2022, Pages 231–244https://doi.org/10.1007/978-3-031-21648-0_16AbstractHandwritten Chinese Essay Recognition (HCER) is a special branch of handwritten Chinese text recognition with great interest. In a naive way, it can be firstly segmented into text lines or even characters, followed by a text line or character ...
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- research-articleSeptember 2022
Intention model based multi-round dialogue strategies for conversational AI bots
Applied Intelligence (KLU-APIN), Volume 52, Issue 12Sep 2022, Pages 13916–13940https://doi.org/10.1007/s10489-022-03288-8AbstractConversational AI (CoAI) bot, such as customer service bots, navigation bots, chat bots and etc., is a new form of software application. How to accurately identify user requirements and provide appropriate services is one of the biggest challenges ...
- research-articleJune 2022
LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition
Neural Processing Letters (NPLE), Volume 54, Issue 3Jun 2022, Pages 2433–2454https://doi.org/10.1007/s11063-021-10737-xAbstractIn recent years, deep learning has achieved great success in many natural language processing tasks, including named entity recognition. The shortcoming is that a large quantity of manually annotated data is usually required. Previous studies have ...
- ArticleSeptember 2021
RTNet: An End-to-End Method for Handwritten Text Image Translation
Document Analysis and Recognition – ICDAR 2021Sep 2021, Pages 99–113https://doi.org/10.1007/978-3-030-86331-9_7AbstractText image recognition and translation have a wide range of applications. It is straightforward to work out a two-stage approach: first perform the text recognition, then translate the text to target language. The handwritten text recognition ...
- research-articleJuly 2017
Faster R-CNN based autonomous navigation for vehicles in warehouse
2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)Jul 2017, Pages 1639–1644https://doi.org/10.1109/AIM.2017.8014253The robots in warehouse have boosted the efficiency and economic benefits of the logistic industrial chain. This paper provides a deep learning, single-camera-based solution to navigate vehicles in warehouse. Firstly we train a Faster R-CNN model to ...
- ArticleOctober 2014
Scalable Prototype Learning Using GPUs
AbstractPrototype learning is widely used in character recognition field. Unfortunately, current learning algorithms require intensive computation burden for large category applications, such as Japanese/Chinese character recognition. To resolve this ...
- ArticleAugust 2013
Exploring MPE/MWE Training for Chinese Handwriting Recognition
ICDAR '13: Proceedings of the 2013 12th International Conference on Document Analysis and RecognitionAugust 2013, Pages 1275–1279https://doi.org/10.1109/ICDAR.2013.258The HMM-based segmentation-free strategy for Chinese handwriting recognition has the merit that the model parameters can be trained with text line samples without annotation of character boundaries. However, the recognition performance has been limited ...
- bookJanuary 2013
Chinese Handwriting Recognition: An Algorithmic Perspective
Designing machines that can read handwriting like human beings has been an ambitious goal for more than half a century, driving talented researchers to explore diverse approaches. Obstacles have often been encountered that at first appeared ...
- articleJanuary 2009
Off-line recognition of realistic Chinese handwriting using segmentation-free strategy
Pattern Recognition (PATT), Volume 42, Issue 1January, 2009, Pages 167–182https://doi.org/10.1016/j.patcog.2008.05.012Great challenges are faced in the off-line recognition of realistic Chinese handwriting. This paper presents a segmentation-free strategy based on Hidden Markov Model (HMM) to handle this problem, where character segmentation stage is avoided prior to ...
- ArticleSeptember 2007
Skew Detection for Chinese Handwriting by Horizontal Stroke Histogram
ICDAR '07: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02September 2007, Pages 899–903This paper proposes a skew detection method for real Chinese handwritten documents. After analyzing the characteristics of Chinese characters, it utilizes the horizontal stroke histogram. Its accuracy, ability to increase the recall rate of text line ...
- ArticleSeptember 2007
HMM-Based Recognizer with Segmentation-free Strategy for Unconstrained Chinese Handwritten Text
ICDAR '07: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01September 2007, Pages 133–137A segmentation-free strategy based on Hidden Markov Models (HMMs) is presented for offline recognition of unconstrained Chinese handwriting. As the first step, handwritten textlines are converted to observation sequence by sliding windows and character ...
- ArticleAugust 2007
Gabor-based recognizer for Chinese handwriting from segmentation-free strategy
CAIP'07: Proceedings of the 12th international conference on Computer analysis of images and patternsAugust 2007, Pages 539–546Segmentation-free recognizer is presented to transcribe Chinese handwritten documents, incorporating Gabor features and Hidden Markov Models (HMMs). Textline is extracted and filtered as Gabor observations by sliding windows first. Then Baum-Welch ...
- research-articleJune 2007
Corpus-based HIT-MW database for offline recognition of general-purpose Chinese handwritten text
International Journal on Document Analysis and Recognition (IJDAR), Volume 10, Issue 1Jun 2007https://doi.org/10.1007/s10032-006-0037-6AbstractA Chinese handwriting database named HIT-MW is presented to facilitate the offline Chinese handwritten text recognition. Both the writers and the texts for handcopying are carefully sampled with a systematic scheme. To collect naturally written ...