Search Results for author: Yiming Liu

Found 19 papers, 4 papers with code

Extreme Video Compression with Pre-trained Diffusion Models

1 code implementation14 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.

Image Compression Video Compression

Passive Beamforming For Practical RIS-Assisted Communication Systems With Non-Ideal Hardware

no code implementations15 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.

MARIS: Referring Image Segmentation via Mutual-Aware Attention Features

no code implementations27 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.

Image Segmentation Segmentation +1

Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks

no code implementations5 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).

3D Reconstruction Image Reconstruction

Flexible Alignment Super-Resolution Network for Multi-Contrast MRI

1 code implementation7 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.

Super-Resolution

Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography

no code implementations16 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.

feature selection Rolling Shutter Correction +1

Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework

no code implementations11 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.

Image Reconstruction reinforcement-learning +1

The role of haptic communication in dyadic collaborative object manipulation tasks

no code implementations2 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.

Intriguing Findings of Frequency Selection for Image Deblurring

2 code implementations23 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.

Deblurring Image Deblurring +1

Spectral Machine Learning for Pancreatic Mass Imaging Classification

no code implementations3 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.

BIG-bench Machine Learning Classification +2

Integrating Pre-trained Model into Rule-based Dialogue Management

no code implementations17 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.

Dialogue Management Management +1

Metaknowledge Extraction Based on Multi-Modal Documents

no code implementations5 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.

Blockchain-empowered Data-driven Networks: A Survey and Outlook

no code implementations29 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

Image deblurring based on lightweight multi-information fusion network

no code implementations14 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.

Deblurring Image Deblurring

Deep Deterministic Policy Gradient for Relay Selection and Power Allocation in Cooperative Communication Network

no code implementations11 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

Hierarchical Reinforcement Learning for Relay Selection and Power Optimization in Two-Hop Cooperative Relay Network

no code implementations10 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

Video Frame Synthesis using Deep Voxel Flow

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.

Optical Flow Estimation Video Prediction

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