Beibei Lin

According to our database, Beibei Lin authored at least 35 papers between 2020 and 2026.

Collaborative distances:

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

2026

GlowGS: Generative Semantic Feature Learning for 3D Gaussian Splatting in Nighttime Glow Scenes.

Beibei Lin, Xiao Cao, Jingyuan Guo, Robby T. Tan

CoRR, May, 2026

NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results.

Xin Li, Yeying Jin, Suhang Yao, Beibei Lin, Zhaoxin Fan, Wending Yan, Xin Jin, Zongwei Wu, Bingchen Li, Peishu Shi, Yufei Yang, Yu Li, Zhibo Chen, Bihan Wen, Robby T. Tan, Radu Timofte, Runzhe Li, Kui Jiang, Zhaocheng Yu, Yiang Chen, Junjun Jiang, Xianming Liu, Hongde Gu, Zeliang Li, Mache You, Jiangxin Dong, Jinshan Pan, Qiyu Rong, Bowen Shao, Hongyuan Jing, Mengmeng Zhang, Bo Ding, Hui Zhang, Yi Ren, Mohab Kishawy, Jun Chen, Anh-Kiet Duong, Petra Gomez-Krämer, Jean-Michel Carozza, Wangzhi Xing, Xin Lu, Enxuan Gu, Jingxi Zhang, Diqi Chen, Qiaosi Yi, Bingcai Wei, Wenjie Li, Bowen Tie, Heng Guo, Zhanyu Ma, Jiachen Tu, Guoyi Xu, Yaoxin Jiang, Cici Liu, Yaokun Shi, Paula Garrido Mellado, Daniel Feijoo, Alvaro Garcia Lara, Marcos V. Conde, Zhidong Zhu, Bangshu Xiong, Qiaofeng Ou, Zhibo Rao, Wei Li, Zida Zhang, Hui Geng, Qisheng Xu, Xuyao Deng, Changjian Wang, Kele Xu, Guanglu Dong, Qiyao Zhao, Tianheng Zheng, Chunlei Li, Lichao Mou, Chao Ren, Chang-De Peng, Chieh-Yu Tsai, Guan-Cheng Liu, Li-Wei Kang, Abhishek Rajak, Milan Kumar Singh, Ankit Kumar, Dimple Sonone, Kishor P. Upla, Kiran Raja, Huilin Zhao, Xing Xu, Chuan Chen, Yeming Lao, Wenjing Xun, Li Yang, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Hao Yang, Ruikun Zhang, Liyuan Pan

CoRR, April, 2026

UENR-600K: A Large-Scale Physically Grounded Dataset for Nighttime Video Deraining.

Pei Yang, Hai Ci, Beibei Lin, Yiren Song, Mike Zheng Shou

CoRR, April, 2026

WeatherReasonSeg: A Benchmark for Weather-Aware Reasoning Segmentation in Visual Language Models.

Wanjun Du, Zifeng Yuan, Tingting Chen, Fucai Ke, Beibei Lin, Shunli Zhang

CoRR, March, 2026

VIEW2SPACE: Studying Multi-View Visual Reasoning from Sparse Observations.

Fucai Ke, Zhixi Cai, Boying Li, Long Chen, Beibei Lin, Weiqing Wang, Pari Delir Haghighi, Gholamreza Haffari, Hamid Rezatofighi

CoRR, March, 2026

2025

Raindrop GS: A Benchmark for 3D Gaussian Splatting under Raindrop Conditions.

Zhiqiang Teng, Beibei Lin, Tingting Chen, Zifeng Yuan, Xuanyi Li, Xuanyu Zhang, Shunli Zhang

CoRR, October, 2025

HypoSpace: Evaluating LLM Creativity as Set-Valued Hypothesis Generators under Underdetermination.

Tingting Chen, Beibei Lin, Zifeng Yuan, Qiran Zou, Hongyu He, Yew-Soon Ong, Anirudh Goyal, Dianbo Liu

CoRR, October, 2025

GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion.

Beibei Lin, Tingting Chen, Robby T. Tan

CoRR, October, 2025

Gait Recognition in the Wild: A Large-Scale Benchmark and NAS-Based Baseline.

Xianda Guo, Zheng Zhu, Tian Yang, Beibei Lin, Junjie Huang, Jiankang Deng, Guan Huang, Jie Zhou, Jiwen Lu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

RGB-to-Polarization Estimation: A New Task and Benchmark Study.

Beibei Lin, Zifeng Yuan, Tingting Chen

CoRR, May, 2025

3DSwapping: Texture Swapping For 3D Object From Single Reference Image.

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

CoRR, March, 2025

Seeing Beyond Haze: Generative Nighttime Image Dehazing.

Beibei Lin, Stephen Lin, Robby T. Tan

CoRR, March, 2025

Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs.

Tingting Chen, Srinivas Anumasa, Beibei Lin, Vedant Shah, Anirudh Goyal, Dianbo Liu

CoRR, February, 2025

3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

NightHaze: Nighttime Image Dehazing via Self-Prior Learning.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

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

CoRR, 2024

Dual-Rain: Video Rain Removal Using Assertive and Gentle Teachers.

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

Proceedings of the Computer Vision - ECCV 2024, 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