Search Results for author: Xinrui Li

Found 7 papers, 1 papers with code

MegaSR: Mining Customized Semantics and Expressive Guidance for Image Super-Resolution

1 code implementation11 Mar 2025 Xinrui Li, Jianlong Wu, Xinchuan Huang, Chong Chen, Weili Guan, Xian-Sheng Hua, Liqiang Nie

Pioneering text-to-image (T2I) diffusion models have ushered in a new era of real-world image super-resolution (Real-ISR), significantly enhancing the visual perception of reconstructed images.

Image Super-Resolution

Integrated Localization and Communication with Sparse MIMO: Will Virtual Array Technology also Benefit Wireless Communication?

no code implementations25 Feb 2025 Hongqi Min, Xinrui Li, Ruoguang Li, Yong Zeng

Therefore, we propose the hybrid processing for sparse MIMO based ILAC, i. e., physical array based communication while virtual array based localization.

DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans

no code implementations27 Jan 2024 Ye Zhang, Yulu Gong, Dongji Cui, Xinrui Li, Xinyu Shen

Gastrointestinal (GI) tract cancers pose a global health challenge, demanding precise radiotherapy planning for optimal treatment outcomes.

Image Segmentation Segmentation +1

Linear Relative Pose Estimation Founded on Pose-only Imaging Geometry

no code implementations24 Jan 2024 Qi Cai, Xinrui Li, Yuanxin Wu

How to efficiently and accurately handle image matching outliers is a critical issue in two-view relative estimation.

Pose Estimation

Essential Number of Principal Components and Nearly Training-Free Model for Spectral Analysis

no code implementations30 Dec 2022 Yifeng Bie, Shuai You, Xinrui Li, Xuekui Zhang, Tao Lu

Due to the mutual in-dependency among different gas molecules, near one-to-one projection from the principal component to the mixture constituent can be established, leading to a significant simplification of spectral quantification.

Image Retargetability

no code implementations12 Feb 2018 Fan Tang, Wei-Ming Dong, Yiping Meng, Chongyang Ma, Fuzhang Wu, Xinrui Li, Tong-Yee Lee

In this work, we introduce the notion of image retargetability to describe how well a particular image can be handled by content-aware image retargeting.

Image Retargeting

Unsupervised state representation learning with robotic priors: a robustness benchmark

no code implementations15 Sep 2017 Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat

We reproduce this simplification process using a neural network to build a low dimensional state representation of the world from images acquired by a robot.

Position Reinforcement Learning +3

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