Gait Recognition with Multiple-Temporal-Scale 3D Convolutional Neural Network. - Beibei Lin; Shunli Zhang; Feng Bao (ACM Multimedia, 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)

GaitMask: Mask-based Model for Gait Recognition. - Beibei Lin; Yu Liu; Shunli Zhang (BMVC, 2021)

HID 2021: Competition on Human Identification at a Distance 2021. - Shiqi Yu 001; Yongzhen Huang; Liang Wang 001; Yasushi Makihara; Edel B. García Reyes; Feng Zheng; Md Atiqur Rahman Ahad; Beibei Lin; Yuchao Yang; Haijun Xiong; Binyuan Huang; Yuxuan Zhang (IJCB, 2021)

Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation. - Beibei Lin; Shunli Zhang; Xin Yu 002 (ICCV, 2021)

Multi-Scale Temporal Information Extractor For Gait Recognition. - Beibei Lin; Shunli Zhang; Yu Liu; Shengdi Qin (ICIP, 2021)

Blind Image Deblurring Based on Dual Attention Network and 2D Blur Kernel Estimation. - Senmao Tian; Shunli Zhang; Beibei Lin (ICIP, 2021)

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 001; Shunli Zhang; Yu Liu; Xin Yu 002 (ACCV (4), 2022)

Sign Spotting via Multi-modal Fusion and Testing Time Transferring. - Hongyu Fu; Chen Liu 028; Xingqun Qi; Beibei Lin; Lincheng Li; Li Zhang 023; Xin Yu 002 (ECCV Workshops (8), 2022)

On the Design of Computer-Aided Translation Teaching. - Beibei Lin (ICWL, 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 001; Shunli Zhang; Xin Yu 002 (CoRR, 2022)

GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition. - Beibei Lin; Shunli Zhang; Ming Wang; Lincheng Li; Xin Yu 002 (CoRR, 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)

Gait Recognition with Mask-based Regularization. - Chuanfu Shen; Beibei Lin; Shunli Zhang; Xin Yu 002; George Q. Huang; Shiqi Yu 001 (IJCB, 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 002 (ICCV, 2023)

Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution. - Yeying Jin; Beibei Lin; Wending Yan; Yuan Yuan 039; Wei Ye 005; Robby T. Tan (ACM Multimedia, 2023)

The Influencing Factors of Learning Motivation in the Computer-Aided Speaking Course: An Empirical Approach. - Beibei Lin (SETE (1), 2023)

NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction. - Beibei Lin; Yeying Jin; Wending Yan; Wei Ye 005; Yuan Yuan 039; Shunli Zhang; Robby T. Tan (AAAI, 2024)

Dual-Rain: Video Rain Removal Using Assertive and Gentle Teachers. - Tingting Chen; Beibei Lin; Yeying Jin; Wending Yan; Wei Ye 005; Yuan Yuan 039; Robby T. Tan (ECCV (68), 2024)

SSNeRF: Sparse View Semi-supervised Neural Radiance Fields with Augmentation. - Xiao Cao; Beibei Lin; Bo Wang 019; Zhiyong Huang; Robby T. Tan (CoRR, 2024)

NightHaze: Nighttime Image Dehazing via Self-Prior Learning. - Beibei Lin; Yeying Jin; Wending Yan; Wei Ye 005; Yuan Yuan 039; Robby T. Tan (AAAI, 2025)

Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs. - Tingting Chen; Srinivas Anumasa; Beibei Lin; Vedant Shah; Anirudh Goyal; Dianbo Liu (CoRR, 2025)

Seeing Beyond Haze: Generative Nighttime Image Dehazing. - Beibei Lin; Stephen Lin; Robby T. Tan (CoRR, 2025)

3DSwapping: Texture Swapping For 3D Object From Single Reference Image. - Xiao Cao; Beibei Lin; Bo Wang 019; Zhiyong Huang; Robby T. Tan (CoRR, 2025)

RGB-to-Polarization Estimation: A New Task and Benchmark Study. - Beibei Lin; Zifeng Yuan; Tingting Chen (CoRR, 2025)

Gait Recognition in the Wild: A Large-Scale Benchmark and NAS-Based Baseline. - Xianda Guo; Zheng Zhu; Tian Yang; Beibei Lin; Junjie Huang 005; Jiankang Deng; Guan Huang 003; Jie Zhou 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)