Beibei Lin

36 papers A* 6A 1B 4Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
VIEW2SPACE: Studying Multi-View Visual Reasoning from Sparse Observations.
CoRR
Fucai Ke, Zhixi Cai, Boying Li, Long Chen, Beibei Lin, Weiqing Wang, Pari Delir Haghighi, Gholamreza Haffari, Hamid Rezatofighi
2026 J jnl
WeatherReasonSeg: A Benchmark for Weather-Aware Reasoning Segmentation in Visual Language Models.
CoRR
Wanjun Du, Zifeng Yuan, Tingting Chen, Fucai Ke, Beibei Lin, Shunli Zhang
2025 J jnl
3DSwapping: Texture Swapping For 3D Object From Single Reference Image.
CoRR
Xiao Cao, Beibei Lin, Bo Wang, Zhiyong Huang, Robby T. Tan
2025 J jnl
Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs.
CoRR
Tingting Chen, Srinivas Anumasa, Beibei Lin, Vedant Shah, Anirudh Goyal, Dianbo Liu
2025 J jnl
Gait Recognition in the Wild: A Large-Scale Benchmark and NAS-Based Baseline.
IEEE Trans. Pattern Anal. Mach. Intell.
Xianda Guo, Zheng Zhu, Tian Yang, Beibei Lin, Junjie Huang, Jiankang Deng, Guan Huang, Jie Zhou, Jiwen Lu
2025 J jnl
GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion.
CoRR
Beibei Lin, Tingting Chen, Robby T. Tan
2025 J jnl
HypoSpace: Evaluating LLM Creativity as Set-Valued Hypothesis Generators under Underdetermination.
CoRR
Tingting Chen, Beibei Lin, Zifeng Yuan, Qiran Zou, Hongyu He, Yew-Soon Ong, Anirudh Goyal, Dianbo Liu
2025 A* conf
NightHaze: Nighttime Image Dehazing via Self-Prior Learning.
AAAI
Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan
2025 J jnl
RGB-to-Polarization Estimation: A New Task and Benchmark Study.
CoRR
Beibei Lin, Zifeng Yuan, Tingting Chen
2025 J jnl
Raindrop GS: A Benchmark for 3D Gaussian Splatting under Raindrop Conditions.
CoRR
Zhiqiang Teng, Beibei Lin, Tingting Chen, Zifeng Yuan, Xuanyi Li, Xuanyu Zhang, Shunli Zhang
2025 J jnl
Seeing Beyond Haze: Generative Nighttime Image Dehazing.
CoRR
Beibei Lin, Stephen Lin, Robby T. Tan
2024 — conf
Dual-Rain: Video Rain Removal Using Assertive and Gentle Teachers.
ECCV (68)
Tingting Chen, Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan
2024 J jnl
NightHaze: Nighttime Image Dehazing via Self-Prior Learning.
CoRR
Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan
2024 A* conf
NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction.
AAAI
Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Shunli Zhang, Robby T. Tan
2024 J jnl
NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction.
CoRR
Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Shunli Zhang, Robby T. Tan
2024 J jnl
SSNeRF: Sparse View Semi-supervised Neural Radiance Fields with Augmentation.
CoRR
Xiao Cao, Beibei Lin, Bo Wang, Zhiyong Huang, Robby T. Tan
2023 A* conf
DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition.
ICCV
Ming Wang, Xianda Guo, Beibei Lin, Tian Yang, Zheng Zhu, Lincheng Li, Shunli Zhang, Xin Yu
2023 J jnl
DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition.
CoRR
Ming Wang, Xianda Guo, Beibei Lin, Tian Yang, Zheng Zhu, Lincheng Li, Shunli Zhang, Xin Yu
2023 A* conf
Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution.
ACM Multimedia
Yeying Jin, Beibei Lin, Wending Yan, Yuan Yuan, Wei Ye, Robby T. Tan
2023 J jnl
Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution.
CoRR
Yeying Jin, Beibei Lin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan
2023 B conf
Gait Recognition with Mask-based Regularization.
IJCB
Chuanfu Shen, Beibei Lin, Shunli Zhang, Xin Yu, George Q. Huang, Shiqi Yu
2023 — conf
The Influencing Factors of Learning Motivation in the Computer-Aided Speaking Course: An Empirical Approach.
SETE (1)
Beibei Lin
2022 J jnl
Gait Recognition with Mask-based Regularization.
CoRR
Chuanfu Shen, Beibei Lin, Shunli Zhang, George Q. Huang, Shiqi Yu, Xin Yu
2022 J jnl
GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition.
CoRR
Beibei Lin, Shunli Zhang, Ming Wang, Lincheng Li, Xin Yu
2022 — conf
GaitStrip: Gait Recognition via Effective Strip-Based Feature Representations and Multi-level Framework.
ACCV (4)
Ming Wang, Beibei Lin, Xianda Guo, Lincheng Li, Zheng Zhu, Jiande Sun, Shunli Zhang, Yu Liu, Xin Yu
2022 J jnl
GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework.
CoRR
Ming Wang, Beibei Lin, Xianda Guo, Lincheng Li, Zheng Zhu, Jiande Sun, Shunli Zhang, Xin Yu
2022 — conf
On the Design of Computer-Aided Translation Teaching.
ICWL
Beibei Lin
2022 — conf
Sign Spotting via Multi-modal Fusion and Testing Time Transferring.
ECCV Workshops (8)
Hongyu Fu, Chen Liu, Xingqun Qi, Beibei Lin, Lincheng Li, Li Zhang, Xin Yu
2022 J jnl
Using Segmentation With Multi-Scale Selective Kernel for Visual Object Tracking.
IEEE Signal Process. Lett.
Feng Bao, Yifei Cao, Shunli Zhang, Beibei Lin, Sicong Zhao
2021 B conf
Blind Image Deblurring Based on Dual Attention Network and 2D Blur Kernel Estimation.
ICIP
Senmao Tian, Shunli Zhang, Beibei Lin
2021 A* conf
Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation.
ICCV
Beibei Lin, Shunli Zhang, Xin Yu
2021 A conf
GaitMask: Mask-based Model for Gait Recognition.
BMVC
Beibei Lin, Yu Liu, Shunli Zhang
2021 B conf
HID 2021: Competition on Human Identification at a Distance 2021.
IJCB
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
2021 B conf
Multi-Scale Temporal Information Extractor For Gait Recognition.
ICIP
Beibei Lin, Shunli Zhang, Yu Liu, Shengdi Qin
2020 A* conf
Gait Recognition with Multiple-Temporal-Scale 3D Convolutional Neural Network.
ACM Multimedia
Beibei Lin, Shunli Zhang, Feng Bao
2020 J jnl
Learning Effective Representations from Global and Local Features for Cross-View Gait Recognition.
CoRR
Beibei Lin, Shunli Zhang, Xin Yu, Zedong Chu, Haikun Zhang