Biography
Lanxiao Wang received the B.E. degree in electronics information engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2019, where she is currently pursuing the Ph.D. degree in information and communication engineering, under the supervision of Prof. Li.
Her main research interests include computer vision and machine learning, especially the application of deep learning on scene analysis and multimodal representation learning.
Interests
- Visual Caption
- Multimodal Learning
- Computer Vision
Publications
A Survey of Vision and Language Related Multi-modal Task
CAAI Artificial Intelligence Research, 2023
A Multi-granularity Feature Fusion Model for Pedestrian Attribute Recognition
The International Conference on Digital Image Computing Techniques and Applications (DICTA, Oral), 2022
CrossDet++: Growing Crossline Representation for Object Detection
IEEE Transactions on Circuits and Systems for Video Technology, 2022
STSI: Efficiently Mine Spatio-Temporal Semantic Information between Different Multimodal for Video Captioning
IEEE International Conference on Visual Communications and Image Processing (VCIP), 2022
Spatial-Semantic Attention For Grounded Image Captioning
International Conference on Image Processing (ICIP), 2022
Real-time panoptic segmentation with relationship between adjacent pixels and boundary prediction
Neurocomputing, 2022
What Happens in Crowd Scenes: A New Dataset about Crowd Scenes for Image Captioning
IEEE Transactions on Multimedia, 2022
RefCrowd: Grounding the Target in Crowd with Referring Expressions
Proceedings of the 30th ACM International Conference on Multimedia (ACMMM), 2022
POS-trends Dynamic-Aware Model for Video Caption
IEEE Transactions on Circuits and Systems for Video Technology, 2021
