1 code implementation • 14 Feb 2024 • Bohan Li, Yiming Liu, Xueyan Niu, Bo Bai, Lei Deng, Deniz Gündüz
The results showcase the potential of exploiting the temporal relations in video data using generative models.
no code implementations • 15 Jan 2024 • Yiming Liu, Rui Wang, Zhu Han
Reconfigurable intelligent surface (RIS) technology is a promising solution to improve the performance of existing wireless communications.
no code implementations • 27 Nov 2023 • Mengxi Zhang, Yiming Liu, Xiangjun Yin, Huanjing Yue, Jingyu Yang
Referring image segmentation (RIS) aims to segment a particular region based on a language expression prompt.
no code implementations • 5 Jun 2023 • Xiaohan Liu, Yanwei Pang, Xuebin Sun, Yiming Liu, Yonghong Hou, ZhenChang Wang, Xuelong Li
To address this problem, we propose the following: (1) a novel convolutional operator called Faster Fourier Convolution (FasterFC) to replace the two consecutive convolution operations typically used in convolutional neural networks (e. g., U-Net, ResNet).
1 code implementation • 7 Oct 2022 • Yiming Liu, Mengxi Zhang, Weiqin Zhang, Bo Jiang, Bo Hou, Dan Liu, Jie Chen, Heqing Lian
To tackle this problem, we propose the Flexible Alignment Super-Resolution Network (FASR-Net) for multi-contrast MRI Super-Resolution.
no code implementations • 16 Apr 2022 • Binjie Qin, Haohao Mao, Yiming Liu, Jun Zhao, Yisong Lv, Yueqi Zhu, Song Ding, Xu Chen
Although robust PCA has been increasingly adopted to extract vessels from X-ray coronary angiography (XCA) images, challenging problems such as inefficient vessel-sparsity modelling, noisy and dynamic background artefacts, and high computational cost still remain unsolved.
no code implementations • 18 Mar 2022 • Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang
The conversational recommender systems (CRSs) have received extensive attention in recent years.
no code implementations • 11 Mar 2022 • Yiming Liu, Yanwei Pang, Ruiqi Jin, ZhenChang Wang
This paper aims to reducing the scan time by actively and sequentially selecting partial phases in a short time so that a slice can be accurately reconstructed from the resultant slice-specific incomplete K-space matrix.
no code implementations • 2 Mar 2022 • Yiming Liu, Raz Leib, William Dudley, Ali Shafti, A. Aldo Faisal, David W. Franklin
The task requires that the two sides coordinate with each other, in real-time, to balance the ball at the target.
2 code implementations • 23 Nov 2021 • Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, Yan Wang
Blur was naturally analyzed in the frequency domain, by estimating the latent sharp image and the blur kernel given a blurry image.
Ranked #1 on Deblurring on RealBlur-R
no code implementations • 3 May 2021 • Yiming Liu, Ying Chen, Guangming Pan, Weichung Wang, Wei-Chih Liao, Yee Liang Thian, Cheng E. Chee, Constantinos P. Anastassiades
Factors that influenced high performance of a well-designed integration of spectral learning and machine learning included: 1) use of eigenvectors corresponding to several of the largest eigenvalues of sample covariance matrix (spike eigenvectors) to choose input attributes in classification training, taking into account only the fundamental information of the raw images with less noise; 2) removal of irrelevant pixels based on mean-level spectral test to lower the challenges of memory capacity and enhance computational efficiency while maintaining superior classification accuracy; 3) adoption of state-of-the-art machine learning classification, gradient boosting and random forest.
no code implementations • 17 Feb 2021 • Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang
Rule-based dialogue management is still the most popular solution for industrial task-oriented dialogue systems for their interpretablility.
no code implementations • 5 Feb 2021 • Shukan Liu, Ruilin Xu, Boying Geng, Qiao Sun, Li Duan, Yiming Liu
In this paper, we introduce the concept of metaknowledge to knowledge engineering research for the purpose of structural knowledge construction.
no code implementations • 29 Jan 2021 • Xi Li, Zehua Wang, Victor C. M. Leung, Hong Ji, Yiming Liu, Heli Zhang
The paths leading to future networks are pointing towards a data-driven paradigm to better cater to the explosive growth of mobile services as well as the increasing heterogeneity of mobile devices, many of which generate and consume large volumes and variety of data.
Networking and Internet Architecture
no code implementations • 14 Jan 2021 • Yanni Zhang, Yiming Liu, Qiang Li, Miao Qi, Dahong Xu, Jun Kong, Jianzhong Wang
In the encoding stage, the image feature is reduced to various smallscale spaces for multi-scale information extraction and fusion without a large amount of information loss.
no code implementations • 11 Dec 2020 • Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu, Jie Wang, Gang Shen, Zhao Dong
Perfect channel state information (CSI) is usually required when considering relay selection and power allocation in cooperative communication.
Information Theory Systems and Control Systems and Control Information Theory
no code implementations • 10 Nov 2020 • Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu
Simulation results reveal that compared with traditional DRL method, the HRL training algorithm can reach convergence 30 training iterations earlier and reduce the outage probability by 5% in two-hop relay network with the same outage threshold.
Hierarchical Reinforcement Learning reinforcement-learning +1
no code implementations • 3 Nov 2020 • Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu
Route planning is important in transportation.
3 code implementations • ICCV 2017 • Ziwei Liu, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, Aseem Agarwala
We combine the advantages of these two methods by training a deep network that learns to synthesize video frames by flowing pixel values from existing ones, which we call deep voxel flow.
Ranked #2 on Video Prediction on DAVIS 2017