no code implementations • 16 Dec 2023 • Yaxin Feng, Yuan Lan, Luchan Zhang, Yang Xiang
The task of lane detection involves identifying the boundaries of driving areas in real-time.
1 code implementation • 11 Dec 2023 • Candi Zheng, Yuan Lan
Popular guidance for denoising diffusion probabilistic model (DDPM) linearly combines distinct conditional models together to provide enhanced control over samples.
no code implementations • 2 Oct 2023 • Yaxin Feng, Yuan Lan, Luchan Zhang, Guoqing Liu, Yang Xiang
Urban segmentation and lane detection are two important tasks for traffic scene perception.
no code implementations • 17 Sep 2023 • Ganghua Fan, Tianyu Jin, Yuan Lan, Yang Xiang, Luchan Zhang
In this paper, we propose an energy stable network (EStable-Net) for solving gradient flow equations.
no code implementations • 20 Aug 2023 • Bingxin Wang, Xiaowen Fu, Yuan Lan, Luchan Zhang, Wei Zheng, Yang Xiang
The proposed approach allows for seamless integration of pre-trained vision models and language models in time series decoding tasks, particularly in EEG data analysis.
no code implementations • 11 Dec 2022 • Yuan Lan, Zhen Li, Jie Sun, Yang Xiang
Deep neural networks (DNNs) recently emerged as a promising tool for analyzing and solving complex differential equations arising in science and engineering applications.
no code implementations • 7 Oct 2022 • Yuan Lan, Liang Qin, Zhaoyi Sun, Yang Xiang, Jie Sun
Besides the latent variable unique to each patch, we introduce shared latent variables between patches to construct the global context.
no code implementations • 5 Jun 2021 • Yue Wu, Yuan Lan, Luchan Zhang, Yang Xiang
Pruning is a model compression method that removes redundant parameters in deep neural networks (DNNs) while maintaining accuracy.
1 code implementation • 6 Jul 2020 • Yuan Lan, Yang Xiang, Luchan Zhang
The commonly used loss functions in the deep segmentation task are pixel-wise loss functions.