1 code implementation • 6 Feb 2024 • Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
Offline reinforcement learning (RL) has attracted much attention due to its ability in learning from static offline datasets and eliminating the need of interacting with the environment.
no code implementations • 13 Dec 2023 • Mushfiqur Rahman, Runze Liu, Chau-Wai Wong, Huaiyu Dai
This study focuses on the deepfake detection of facial images of individual public figures.
no code implementations • 6 Jun 2023 • Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li
In this paper, we propose a novel zero-shot preference-based RL algorithm that leverages labeled preference data from source tasks to infer labels for target tasks, eliminating the requirement for human queries.
no code implementations • 29 Mar 2022 • Mingjun Li, Jianlei Yang, Yingjie Qi, Meng Dong, Yuhao Yang, Runze Liu, Weitao Pan, Bei Yu, Weisheng Zhao
In this paper, Eventor is proposed as a fast and efficient EMVS accelerator by realizing the most critical and time-consuming stages including event back-projection and volumetric ray-counting on FPGA.
no code implementations • 26 Mar 2021 • Runze Liu, Chau-Wai Wong, Huaiyu Dai
Modern neural networks have been successful in many regression-based tasks such as face recognition, facial landmark detection, and image generation.
no code implementations • 29 Aug 2020 • Runze Liu, Chau-Wai Wong
We analytically show that log(EER) is decreasing linearly in the edge length of a paper patch.
no code implementations • 7 Jun 2020 • Shiying Xiong, Xingzhe He, Yunjin Tong, Runze Liu, Bo Zhu
The ability of our model to predict long-term discontinuity from a short window of continuous training data is in general considered impossible using traditional machine learning approaches.
no code implementations • 8 May 2020 • Xiaotao Jia, Jianlei Yang, Runze Liu, Xueyan Wang, Sorin Dan Cotofana, Weisheng Zhao
A feature decomposition and memorization (\texttt{DM}) strategy is utilized to reform the BNN inference flow in a reduced manner.
no code implementations • 3 Jun 2019 • Runze Liu, Jianlei Yang, Yiran Chen, Weisheng Zhao
Simultaneous Localization and Mapping (SLAM) is a critical task for autonomous navigation.