Beibei Lin

According to our database, Beibei Lin authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SSNeRF: Sparse View Semi-supervised Neural Radiance Fields with Augmentation.

Xiao Cao, Beibei Lin, Bo Wang, Zhiyong Huang, Robby T. Tan

CoRR, 2024

NightHaze: Nighttime Image Dehazing via Self-Prior Learning.

Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan

CoRR, 2024

NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction.

Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Shunli Zhang, Robby T. Tan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

The Influencing Factors of Learning Motivation in the Computer-Aided Speaking Course: An Empirical Approach.

Beibei Lin

Proceedings of the Emerging Technologies for Education - 8th International Symposium, 2023

Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution.

Yeying Jin, Beibei Lin, Wending Yan, Yuan Yuan, Wei Ye, Robby T. Tan

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition.

Ming Wang, Xianda Guo, Beibei Lin, Tian Yang, Zheng Zhu, Lincheng Li, Shunli Zhang, Xin Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Gait Recognition with Mask-based Regularization.

Chuanfu Shen, Beibei Lin, Shunli Zhang, Xin Yu, George Q. Huang, Shiqi Yu

Proceedings of the IEEE International Joint Conference on Biometrics, 2023

2022

Using Segmentation With Multi-Scale Selective Kernel for Visual Object Tracking.

Feng Bao, Yifei Cao, Shunli Zhang, Beibei Lin, Sicong Zhao

IEEE Signal Process. Lett., 2022

GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition.

Beibei Lin, Shunli Zhang, Ming Wang, Lincheng Li, Xin Yu

CoRR, 2022

GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework.

Ming Wang, Beibei Lin, Xianda Guo, Lincheng Li, Zheng Zhu, Jiande Sun, Shunli Zhang, Xin Yu

CoRR, 2022

On the Design of Computer-Aided Translation Teaching.

Beibei Lin

Proceedings of the Learning Technologies and Systems, 2022

Sign Spotting via Multi-modal Fusion and Testing Time Transferring.

Hongyu Fu, Chen Liu, Xingqun Qi, Beibei Lin, Lincheng Li, Li Zhang, Xin Yu

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

GaitStrip: Gait Recognition via Effective Strip-Based Feature Representations and Multi-level Framework.

Ming Wang, Beibei Lin, Xianda Guo, Lincheng Li, Zheng Zhu, Jiande Sun, Shunli Zhang, Yu Liu, Xin Yu

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Blind Image Deblurring Based on Dual Attention Network and 2D Blur Kernel Estimation.

Senmao Tian, Shunli Zhang, Beibei Lin

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Multi-Scale Temporal Information Extractor For Gait Recognition.

Beibei Lin, Shunli Zhang, Yu Liu, Shengdi Qin

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation.

Beibei Lin, Shunli Zhang, Xin Yu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

HID 2021: Competition on Human Identification at a Distance 2021.

Shiqi Yu, Yongzhen Huang, Liang Wang, Yasushi Makihara, Edel B. García Reyes, Feng Zheng, Md Atiqur Rahman Ahad, Beibei Lin, Yuchao Yang, Haijun Xiong, Binyuan Huang, Yuxuan Zhang

Proceedings of the International IEEE Joint Conference on Biometrics, 2021

GaitMask: Mask-based Model for Gait Recognition.

Beibei Lin, Yu Liu, Shunli Zhang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Learning Effective Representations from Global and Local Features for Cross-View Gait Recognition.

Beibei Lin, Shunli Zhang, Xin Yu, Zedong Chu, Haikun Zhang

CoRR, 2020

Gait Recognition with Multiple-Temporal-Scale 3D Convolutional Neural Network.

Beibei Lin, Shunli Zhang, Feng Bao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020