2023 - Research.com Computer Science in China Leader Award
2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to shape representation, contextual visual similarity, and camera-based document analysis
His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Artificial neural network. His study focuses on the intersection of Artificial intelligence and fields such as Machine learning with connections in the field of Representation. His Pattern recognition study combines topics from a wide range of disciplines, such as Contextual image classification and Metric.
The various areas that he examines in his Computer vision study include Character, Algorithm design, Word and Robustness. As a part of the same scientific family, Xiang Bai mostly works in the field of Feature extraction, focusing on Margin and, on occasion, Slope field, Time complexity and Pairwise comparison. His study in Artificial neural network is interdisciplinary in nature, drawing from both Text mining, Speech recognition and Spotting.
Xiang Bai mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Object detection and Segmentation. His Artificial intelligence research focuses on subjects like Machine learning, which are linked to Pascal. His research investigates the connection between Pattern recognition and topics such as Feature that intersect with issues in Feature vector.
Computer vision is represented through his Pixel, Object and Topological skeleton research. His research in Topological skeleton intersects with topics in Algorithm and Skeleton. His work carried out in the field of Object detection brings together such families of science as Cognitive neuroscience of visual object recognition, Minimum bounding box and Robustness.
Xiang Bai focuses on Artificial intelligence, Pattern recognition, Segmentation, Computer vision and Deep learning. Xiang Bai interconnects Generator and Machine learning in the investigation of issues within Artificial intelligence. His Feature extraction study in the realm of Pattern recognition interacts with subjects such as Set.
Xiang Bai combines subjects such as Discriminative model, Sensor array and Data pre-processing with his study of Feature extraction. The concepts of his Segmentation study are interwoven with issues in Representation, Pascal and Spotting. His study in the fields of Text detection, Object and Crowd counting under the domain of Computer vision overlaps with other disciplines such as Scale and Conjunction.
Xiang Bai mainly focuses on Artificial intelligence, Pattern recognition, Object detection, Segmentation and Semantics. Xiang Bai has researched Artificial intelligence in several fields, including Machine learning and Computer vision. His Computer vision study incorporates themes from Vertex and Training set.
Xiang Bai is interested in Convolutional neural network, which is a branch of Pattern recognition. As a member of one scientific family, Xiang Bai mostly works in the field of Object detection, focusing on Point cloud and, on occasion, Frame rate, Robustness and Data mining. His research integrates issues of Representation, Spotting and Benchmark in his study of Segmentation.
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An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
Baoguang Shi;Xiang Bai;Cong Yao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2017)
AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi.
IEEE Transactions on Geoscience and Remote Sensing (2017)
DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
Gui-Song Xia;Xiang Bai;Jian Ding;Zhen Zhu.
computer vision and pattern recognition (2018)
Detecting texts of arbitrary orientations in natural images
Cong Yao;Xiang Bai;Wenyu Liu;Yi Ma.
computer vision and pattern recognition (2012)
Richer Convolutional Features for Edge Detection
Yun Liu;Ming-Ming Cheng;Xiaowei Hu;Jia-Wang Bian.
computer vision and pattern recognition (2017)
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
Zhuowen Tu;Xiang Bai.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
Xiang Bai;L.J. Latecki;Wen-Yu Liu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)
TextBoxes: a fast text detector with a single deep neural network
Minghui Liao;Baoguang Shi;Xiang Bai;Xinggang Wang.
national conference on artificial intelligence (2017)
TextBoxes++: A Single-Shot Oriented Scene Text Detector.
Minghui Liao;Baoguang Shi;Xiang Bai.
IEEE Transactions on Image Processing (2018)
Detecting Oriented Text in Natural Images by Linking Segments
Baoguang Shi;Xiang Bai;Serge Belongie.
computer vision and pattern recognition (2017)
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