no code implementations • 24 Mar 2024 • Tianrui Liu, Qi Cai, Changxin Xu, Bo Hong, Jize Xiong, Yuxin Qiao, Tsungwei Yang
Image captioning strives to generate pertinent captions for specified images, situating itself at the crossroads of Computer Vision (CV) and Natural Language Processing (NLP).
no code implementations • 24 Mar 2024 • Tianrui Liu, Qi Cai, Changxin Xu, Bo Hong, Fanghao Ni, Yuxin Qiao, Tsungwei Yang
In this paper, we propose a new detection model, that jointly learns both the representations of user correlation and information propagation to detect rumors on social media.
no code implementations • 12 Feb 2024 • Tianrui Liu, Changxin Xu, Yuxin Qiao, Chufeng Jiang, Weisheng Chen
This paper explores the area of news recommendation, a key component of online information sharing.
no code implementations • 12 Feb 2024 • Tianrui Liu, Changxin Xu, Yuxin Qiao, Chufeng Jiang, Jiqiang Yu
Simultaneous Localization and Mapping (SLAM) presents a formidable challenge in robotics, involving the dynamic construction of a map while concurrently determining the precise location of the robotic agent within an unfamiliar environment.
no code implementations • 5 Sep 2022 • Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P O'Regan, Daniel Rueckert
By developing a differentiable mesh-to-image rasterizer, the method is able to leverage the anatomical shape information from 2D multi-view CMR images for 3D motion estimation.
1 code implementation • 10 Aug 2022 • Zhipeng Luo, Changqing Zhou, Liang Pan, Gongjie Zhang, Tianrui Liu, Yueru Luo, Haiyu Zhao, Ziwei Liu, Shijian Lu
In a point cloud sequence, 3D object tracking aims to predict the location and orientation of an object in consecutive frames given an object template.
no code implementations • 4 Aug 2022 • Zhipeng Luo, Gongjie Zhang, Changqing Zhou, Tianrui Liu, Shijian Lu, Liang Pan
3D object detection using point clouds has attracted increasing attention due to its wide applications in autonomous driving and robotics.
no code implementations • 29 Jul 2022 • Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P O'Regan, Daniel Rueckert
To address this problem, we propose a novel multi-view motion estimation network (MulViMotion), which integrates 2D cine CMR images acquired in short-axis and long-axis planes to learn a consistent 3D motion field of the heart.
no code implementations • 12 Mar 2022 • Jun-Jie Huang, Tianrui Liu, Zhixiong Yang, Shaojing Fu, Wentao Zhao, Pier Luigi Dragotti
With the deep unrolling technique, we build the DURRNet with ProxNets to model natural image priors and ProxInvNets which are constructed with invertible networks to impose the exclusion prior.
1 code implementation • CVPR 2022 • Changqing Zhou, Zhipeng Luo, Yueru Luo, Tianrui Liu, Liang Pan, Zhongang Cai, Haiyu Zhao, Shijian Lu
In a point cloud sequence, 3D object tracking aims to predict the location and orientation of an object in the current search point cloud given a template point cloud.
no code implementations • 6 Jul 2021 • Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jaqueline Matthew, Emily Skelton, John Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz
Fetal ultrasound screening during pregnancy plays a vital role in the early detection of fetal malformations which have potential long-term health impacts.
no code implementations • 19 Jun 2021 • Tianrui Liu, Qingjie Meng, Jun-Jie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
Intelligent video summarization algorithms allow to quickly convey the most relevant information in videos through the identification of the most essential and explanatory content while removing redundant video frames.
no code implementations • 1 Jan 2021 • Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David Woodruff
In this work, we consider the problem of optimizing sketches to obtain low approximation error over a data distribution.
no code implementations • 20 Jul 2020 • Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David P. Woodruff
Despite the growing body of work on this paradigm, a noticeable omission is that the locations of the non-zero entries of previous algorithms were fixed, and only their values were learned.
1 code implementation • 19 May 2020 • Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz
We show that our method is superior to alternative video summarization methods and that it preserves essential information required by clinical diagnostic standards.
no code implementations • 18 Dec 2019 • Tianrui Liu, Wenhan Luo, Lin Ma, Jun-Jie Huang, Tania Stathaki, Tianhong Dai
Ablation studies have validated the effectiveness of both the proposed gated multi-layer feature extraction sub-network and the deformable occlusion handling sub-network.
no code implementations • 25 Oct 2019 • Tianrui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki
In this paper, we propose a gated multi-layer convolutional feature extraction method which can adaptively generate discriminative features for candidate pedestrian regions.
no code implementations • 7 Aug 2018 • Tianrui Liu, Mohamed Elmikaty, Tania Stathaki
Convolutional neural networks (CNN) have enabled significant improvements in pedestrian detection owing to the strong representation ability of the CNN features.