no code implementations • 21 Mar 2023 • Qiang Li, Shujian Yu, Kristoffer H Madsen, Vince D Calhoun, Armin Iraji
To address this problem, we applied multivariate mutual information, specifically, Total Correlation and Dual Total Correlation to reveal higher-order information in the brain.
no code implementations • 10 Feb 2023 • Yu Li, Yi Zhang, Weijia Wu, Zimu Zhou, Qiang Li
Such personalized opening sentence generation is challenging because (i) there are limited historical samples for conversation topic recommendation in online insurance sales and (ii) existing text generation schemes often fail to support customized topic ordering based on user preferences.
no code implementations • 5 Dec 2022 • Qiang Li, Chongyu Zhang
Following the development of digitization, a growing number of large Original Equipment Manufacturers (OEMs) are adapting computer vision or natural language processing in a wide range of applications such as anomaly detection and quality inspection in plants.
1 code implementation • 26 Nov 2022 • Jinxin Lv, Xiaoyu Zeng, Sheng Wang, Ran Duan, Zhiwei Wang, Qiang Li
In this paper, we propose a novel image-aligned style transformation to reinforce the dual-model iterative learning for robust one-shot segmentation of brain tissues.
no code implementations • 23 Nov 2022 • Rong Wen, Ying Zhang, Qiang Li, Youxi Tang
For the AN-aided SRM, by leveraging alternating optimization similar closed-form solution is obtained for the beamformer and the AN covariance matrix.
no code implementations • 17 Oct 2022 • Zihao Chen, Qiang Li, Bing Guo, Yan Shen
This paper proposes a way to break the spell of total correlation in betaTCVAE based on the motivation of the total correlation decomposition.
no code implementations • 15 Oct 2022 • Hongkuan Shi, Zhiwei Wang, Ying Zhou, Dun Li, Xin Yang, Qiang Li
The learned knowledge flows across branches along two directions: a cross direction (disparity guides distribution in ACS) and a parallel direction (disparity guides disparity in APS).
no code implementations • 10 Oct 2022 • Wanfeng Zheng, Qiang Li, Xiaoyan Guo, Pengfei Wan, Zhongyuan Wang
More specifically, our efforts consist of three parts: 1) a data-free training strategy to train latent mappers to bridge the latent space of CLIP and StyleGAN; 2) for more precise mapping, temporal relative consistency is proposed to address the knowledge distribution bias problem among different latent spaces; 3) to refine the mapped latent in s space, adaptive style mixing is also proposed.
no code implementations • 6 Oct 2022 • Qiang Li, Greg Ver Steeg, Shujian Yu, Jesus Malo
In this work we build on this idea to infer a large scale (whole brain) connectivity network based on Total Correlation and show the possibility of using this kind of networks as biomarkers of brain alterations.
no code implementations • 11 Aug 2022 • Qiang Li, Greg Ver Steeg, Jesus Malo
In this multivariate setting (three nodes with multidimensional signals), we derive analytical results for the three-way Total Correlation and for all possible pairwise Mutual Information measures.
1 code implementation • 13 Jul 2022 • Qiang Li, Zhaoliang Yao, Jingjing Wang, Ye Tian, Pengju Yang, Di Xie, ShiLiang Pu
Based on this dataset, we propose a method to obtain the blur scores only with the pairwise rank labels as supervision.
no code implementations • 5 Jun 2022 • Zhiwei Wang, Jinxin Lv, Yunqiao Yang, Yuanhuai Liang, Yi Lin, Qiang Li, Xin Li, Xin Yang
Vertebral landmark localization is a crucial step for variant spine-related clinical applications, which requires detecting the corner points of 17 vertebrae.
no code implementations • 1 Jun 2022 • Yanni Zhang, Qiang Li, Miao Qi, Di Liu, Jun Kong, Jianzhong Wang
MSFS-Net introduces the frequency separation module (FSM) into an encoder-decoder network architecture to capture the low- and high-frequency information of image at multiple scales.
no code implementations • 19 May 2022 • Qiang Li, Tao Dai, Shu-Tao Xia
Recently, deep learning methods have shown great success in 3D point cloud upsampling.
no code implementations • 12 Apr 2022 • Qiang Li
The primary goal of this study is to investigate the performance of saliency prediction in CNN and classic models with psychophysical synthetic images under noise perturbation.
1 code implementation • 9 Apr 2022 • Qiang Li, Yuan Yuan, Xiuping Jia, Qi Wang
Hyperspectral image produces high spectral resolution at the sacrifice of spatial resolution.
no code implementations • 1 Apr 2022 • Jingwei Yan, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu
Automatic facial action unit (AU) recognition is a challenging task due to the scarcity of manual annotations.
no code implementations • CVPR 2022 • Qiang Li, Jingjing Wang, Zhaoliang Yao, Yachun Li, Pengju Yang, Jingwei Yan, Chunmao Wang, ShiLiang Pu
In this paper, we emphatically summarize that learning an adaptive label distribution on ordinal regression tasks should follow three principles.
no code implementations • 30 Mar 2022 • Wanfeng Zheng, Qiang Li, Guoxin Zhang, Pengfei Wan, Zhongyuan Wang
Unpaired image-to-image translation is to translate an image from a source domain to a target domain without paired training data.
no code implementations • 8 Dec 2021 • Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed.
1 code implementation • CVPR 2022 • Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu
In addition, we present text-to-pixel contrastive learning to explicitly enforce the text feature similar to the related pixel-level features and dissimilar to the irrelevances.
Ranked #5 on
Referring Expression Segmentation
on RefCOCO+ val
2 code implementations • NeurIPS 2021 • Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng
Specifically, we first train a self-supervised style encoder on the generic artistic dataset to extract the representations of arbitrary styles.
1 code implementation • 25 Sep 2021 • Jinxin Lv, Zhiwei Wang, Hongkuan Shi, Haobo Zhang, Sheng Wang, Yilang Wang, Qiang Li
Registration of brain MRI images requires to solve a deformation field, which is extremely difficult in aligning intricate brain tissues, e. g., subcortical nuclei, etc.
no code implementations • 30 Jul 2021 • Jingwei Yan, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu
Based on these two self-supervised auxiliary tasks, local features, mutual relation and motion cues of AUs are better captured in the backbone network with the proposed regional and temporal based auxiliary task learning (RTATL) framework.
no code implementations • CVPR 2022 • Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu
By considering the spatial correspondence, dense self-supervised representation learning has achieved superior performance on various dense prediction tasks.
no code implementations • 24 May 2021 • Hao Zhao, Fei Ji, Quansheng Guan, Qiang Li, Shuai Wang, Hefeng Dong, Miaowen Wen
In summary, the proposed ARC/FML for OoT is a promising scheme for information exchange across water and air.
no code implementations • 16 May 2021 • Dandan Zhang, Yu Zheng, Qiang Li, Lei Wei, Dongsheng Zhang, Zhengyou Zhang
To accurately pour drinks into various containers is an essential skill for service robots.
no code implementations • 30 Mar 2021 • Yatao Liu, Mingjie Shao, Wing-Kin Ma, Qiang Li
We examine how insights arising from this perturbed ZF and VP interpretations can be leveraged to i) substantially simplify the optimization of certain SLP design criteria, namely, total or peak power minimization subject to SEP quality guarantees; and ii) draw connections with some existing SLP designs.
no code implementations • 28 Feb 2021 • Qiang Li, Alex Gomez-Villa, Marcelo Bertalmio, Jesus Malo
Three decades ago, Atick et al. suggested that human frequency sensitivity may emerge from the enhancement required for a more efficient analysis of retinal images.
no code implementations • 24 Feb 2021 • Jingwei Yan, Boyuan Jiang, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu
In order to incorporate the intra-level AU relation and inter-level AU regional relevance simultaneously, a multi-level AU relation graph is constructed and graph convolution is performed to further enhance AU regional features of each level.
no code implementations • 1 Feb 2021 • Qiang Li, Towe Wang
Considering a Schwarzschild black hole surrounded by a fully ionized hydrogen plasma, we study the refractive effect and the pure gravitational effect of the plasma on the shadow.
General Relativity and Quantum Cosmology Astrophysics of Galaxies
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 • 13 Nov 2020 • Yu Yun, Xin Li, Arashdeep Singh Thind, Yuewei Yin, Hao liu, Qiang Li, Wenbin Wang, Alpha T. N Diaye, Corbyn Mellinger, Xuanyuan Jiang, Rohan Mishra, Xiaoshan Xu
The coupling between ferroelectric and magnetic orders in multiferroic materials and the nature of magnetoelectric (ME) effects are enduring experimental challenges.
Materials Science Other Condensed Matter
1 code implementation • 8 Nov 2020 • Qiang Li
Finally, the proposed model also can be applied to spatial-temporal saliency prediction and got better performance.
no code implementations • 1 Oct 2020 • P. M. Lozano, G. D. Gu, J. M. Tranquada, Qiang Li
Both Zn-doping and $c$-axis magnetic fields have been observed to increase the spin stripe order in La$_{2-x}$Ba$_x$CuO$_4$ with $x$ close to 1/8.
Superconductivity
no code implementations • 23 Jun 2020 • Congqiao Li, Ying An, Claude Charlot, Roberto Covarelli, Zhe Guan, Qiang Li
Loop-induced $ZZ$ production can be enhanced by the large gluon flux at the LHC, and thus should be taken into account in relevant experimental analyses.
High Energy Physics - Phenomenology High Energy Physics - Experiment
no code implementations • 8 Jun 2020 • Silei Wang, Qiang Li, Mingjie Shao
This paper considers symbol-level precoding (SLP) for multiuser multi-input single-output (MISO) downlink transmission with the aid of intelligent reflecting surface (IRS).
1 code implementation • 7 Jun 2020 • Qiang Li, Zekui Qin, Wenbo Zhang, Wen Zheng
Visual object tracking aims to estimate the location of an arbitrary target in a video sequence given its initial bounding box.
no code implementations • 4 Apr 2020 • Maohong Chen, Yong Xiao, Qiang Li, Kwang-cheng Chen
Connected vehicular network is one of the key enablers for next generation cloud/fog-supported autonomous driving vehicles.
no code implementations • 30 Mar 2020 • Xusheng Luo, Luxin Liu, Yonghua Yang, Le Bo, Yuanpeng Cao, Jinhang Wu, Qiang Li, Keping Yang, Kenny Q. Zhu
However, user needs in e-commerce are still not well defined, and none of the existing ontologies has the enough depth and breadth for universal user needs understanding.
no code implementations • 14 Mar 2020 • Qiang Li, Xian-Ming Liu, Kaige Han, Cheng Guo, Xiangyang Ji, Xiaolin Wu
Whole slide imaging (WSI) is an emerging technology for digital pathology.
1 code implementation • 14 Feb 2020 • Qiang Li, Wei Feng
By using the public data from Jan. 20 to Feb. 11, 2020, we perform data-driven analysis and forecasting on the COVID-19 epidemic in mainland China, especially Hubei province.
no code implementations • 19 Jan 2020 • Mingjie Shao, Qiang Li, Wing-Kin Ma
Recently, the use of intelligent reflecting surface (IRS) has gained considerable attention in wireless communications.
no code implementations • 14 Jan 2020 • Qi. Wang, Qiang Li, Xuelong. Li
Deep learning-based hyperspectral image super-resolution (SR) methods have achieved great success recently.
no code implementations • 19 Dec 2019 • Silei Wang, Qiang Li, Sissi Xiaoxiao Wu, Jingran Lin
The intelligent reflecting surface (IRS) is a planar array with massive reconfigurable passive elements, which can align the reflecting signals at the receivers via controlling the phase shifts at each element independently.
no code implementations • 24 Nov 2019 • Jinle Zhu, Qiang Li, Li Hu, Hongyang Chen, Nirwan Ansari
By leveraging machine learning, the proposed detection scheme can accurately obtain information of the channel from a few of the received symbols with little resource cost and achieve comparable detection results as that of the optimal ML detector.
1 code implementation • 30 Aug 2019 • Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang
To improve this strategy, we further propose an interpretable adversarial training method by enforcing the reconstruction of the adversarial examples in the discrete graph domain.
no code implementations • 20 Jul 2019 • Wei zhang, Shafei Wang, Ye Pan, Qiang Li, Jingran Lin, Xiaoxiao Wu
This paper considers computation offloading in fog-radio access networks (F-RAN), where multiple user equipments (UEs) offload their computation tasks to the F-RAN through a number of fog nodes.
no code implementations • 5 Jul 2019 • Wenxiang Zuo, Qiang Li, Xian-Ming Liu
As a real scenes sensing approach, depth information obtains the widespread applications.
1 code implementation • 2 Jul 2019 • Ruiyuan Wu, Wing-Kin Ma, Xiao Fu, Qiang Li
Hyperspectral super-resolution (HSR) is a problem that aims to estimate an image of high spectral and spatial resolutions from a pair of co-registered multispectral (MS) and hyperspectral (HS) images, which have coarser spectral and spatial resolutions, respectively.
no code implementations • 17 Apr 2019 • Qiang Li, Bo Xie, Jane You, Wei Bian, DaCheng Tao
In this paper, we present correlated logistic (CorrLog) model for multilabel image classification.
no code implementations • 5 Apr 2019 • Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, DaCheng Tao
Stochastic block models (SBMs) have been playing an important role in modeling clusters or community structures of network data.
no code implementations • 27 Feb 2019 • Hongmin Xu, Qiang Li, Wenbo Zhang, Wen Zheng
Multi-Style Transfer (MST) intents to capture the high-level visual vocabulary of different styles and expresses these vocabularies in a joint model to transfer each specific style.
2 code implementations • ICCV 2019 • Xiong Zhang, Qiang Li, Hong Mo, Wenbo Zhang, Wen Zheng
In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem of reconstructing the full 3D mesh of a human hand from a single RGB image.
1 code implementation • 18 Dec 2018 • Junho Lee, Nicolas Chanon, Andrew Levin, Jing Li, Meng Lu, Qiang Li, Yajun Mao
Studying the longitudinally polarized fraction of $W^\pm W^\pm$ scattering at the LHC is crucial to examine the unitarization mechanism of the vector boson scattering amplitude through Higgs and possible new physics.
High Energy Physics - Phenomenology High Energy Physics - Experiment
no code implementations • 7 Nov 2018 • Peiyang Song, Fengkui Gong, Qiang Li, Guo Li, Haiyang Ding
Additionally, we propose a DL-based joint signal detection and decoding for FTN signaling to replace the complete baseband part in traditional FTN receivers.
no code implementations • 14 Mar 2018 • Zhang Li, Zheyu Hu, Jiaolong Xu, Tao Tan, Hui Chen, Zhi Duan, Ping Liu, Jun Tang, Guoping Cai, Quchang Ouyang, Yuling Tang, Geert Litjens, Qiang Li
Aim: Early detection and correct diagnosis of lung cancer are the most important steps in improving patient outcome.
no code implementations • 10 Feb 2018 • Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li
To help doctors to be more selective on biopsies and provide a second opinion on diagnosis, in this work, we propose a computer-aided diagnosis (CAD) system for lung diseases including cancers and tuberculosis (TB).
no code implementations • NeurIPS 2017 • Qiang Li, Wei Chen, Institute Of Computing Xiaoming Sun, Institute Of Computing Jialin Zhang
Influence maximization is the problem of selecting $k$ nodes in a social network to maximize their influence spread.
no code implementations • 21 Nov 2017 • Quanyu Dai, Qiang Li, Jian Tang, Dan Wang
Learning low-dimensional representations of networks has proved effective in a variety of tasks such as node classification, link prediction and network visualization.
no code implementations • 23 Nov 2016 • Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun
In the guaranteed delivery scenario, ad exposures (which are also called impressions in some works) to users are guaranteed by contracts signed in advance between advertisers and publishers.
no code implementations • CVPR 2016 • Qiang Li, Maoying Qiao, Wei Bian, DaCheng Tao
Multi-label image classification aims to predict multiple labels for a single image which contains diverse content.
no code implementations • 29 Nov 2013 • Xudong Liu, Bing Xu, Yuyu Zhang, Qiang Yan, Liang Pang, Qiang Li, Hanxiao Sun, Bin Wang
The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness of hotels, user's aggregated purchase history and competitive online travel agency information for each potential hotel choice.