Beibei Jin

12 papers A* 2A 1B 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Toward High-Fidelity and Temporal-Consistency Generation for Radar Echo Perception via Differential Diffusion Model.
IEEE Internet Things J.
Junyi Li, Wei Zhang, Wenhong Wu, Zhengbei Jin, Beibei Jin, Xiaohui Song
2024 J jnl
DIFA-GAN: Differential Attention-Guided Generative Adversarial Network for Unsupervised Video Forecasting.
IEEE Signal Process. Lett.
Beibei Jin
2024 J jnl
Unsupervised video forecasting with flow parsing mechanism of human visual system.
Eng. Appl. Artif. Intell.
Beibei Jin, Xiaohui Song, Jindong Li, Pengfei Zhang
2022 J jnl
Research on social recommendation algorithm based on fuzzy subjective trust.
Connect. Sci.
Beibei Jin, Dong Liu, Li Li
2020 A* conf
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction.
CVPR
Beibei Jin, Yu Hu, Qiankun Tang, Jingyu Niu, Zhiping Shi, Yinhe Han, Xiaowei Li
2020 J jnl
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction.
CoRR
Beibei Jin, Yu Hu, Qiankun Tang, Jingyu Niu, Zhiping Shi, Yinhe Han, Xiaowei Li
2020 B conf
Two-Stage Safe Reinforcement Learning for High-Speed Autonomous Racing.
SMC
Jingyu Niu, Yu Hu, Beibei Jin, Yinhe Han, Xiaowei Li
2018 — conf
A new soft assignment K-means algorithm.
ICMLSC
Peng Chen, Yongmei Chen, Beibei Jin
2018 A* conf
See and Think: Disentangling Semantic Scene Completion.
NeurIPS
Shice Liu, Yu Hu, Yiming Zeng, Qiankun Tang, Beibei Jin, Yinhe Han, Xiaowei Li
2018 — conf
Unsupervised Video Prediction Network with Spatio-temporal Deep Features.
M2VIP
Beibei Jin, Rong Zhou, Zhisheng Zhang, Min Dai
2018 A conf
VarNet: Exploring Variations for Unsupervised Video Prediction.
IROS
Beibei Jin, Yu Hu, Yiming Zeng, Qiankun Tang, Shice Liu, Jing Ye
2017 B conf
Deep deformable Q-Network: an extension of deep Q-Network.
WI
Beibei Jin, Jianing Yang, Xiangsheng Huang, Dawar Khan