Search Results for author: Qiang Li

Found 44 papers, 8 papers with code

CRIS: CLIP-Driven Referring Image Segmentation

no code implementations30 Nov 2021 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.

Contrastive Learning Semantic Segmentation

BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation

1 code implementation 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.

Face Generation

Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion

no code implementations25 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.

Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition

no code implementations30 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.

Facial Action Unit Detection Optical Flow Estimation

Exploring Set Similarity for Dense Self-supervised Representation Learning

no code implementations19 Jul 2021 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.

Instance Segmentation Keypoint Detection +3

Symbol-Level Precoding Through the Lens of Zero Forcing and Vector Perturbation

no code implementations30 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 under quadrature amplitude modulation (QAM) constellations; and ii) derive heuristic but computationally cheaper SLP designs.

Contrast Sensitivity Functions in Autoencoders

no code implementations28 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.

Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition

no code implementations24 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.

Facial Action Unit Detection Graph Learning

Gravitational effect of a plasma on the shadow of Schwarzschild black holes

no code implementations1 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

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

Magnetoelectric coupling and decoupling in multiferroic hexagonal YbFeO3 thin films

no code implementations13 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

A Psychophysical Oriented Saliency Map Prediction Model

1 code implementation8 Nov 2020 Qiang Li

Finally, the proposed model also can be applied to spatial-temporal saliency prediction and got better performance.

Saliency Prediction

Experimental Evidence that Zn Impurities Pin Pair-Density-Wave Order in La$_{2-x}$Ba$_x$CuO$_4$

no code implementations1 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

To Achieve Security and High Spectrum Efficiency: A New Transmission System Based on Faster-than-Nyquist and Deep Learning

no code implementations1 Aug 2020 Peiyang Song, Nan Zhang, Fengkui Gong, Qiang Li, Haiyang Ding

In this paper, we try to apply FTN into secure communications and propose a secure and high-spectrum-efficiency transmission system based on FTN and deep learning (DL).

Loop-induced $ZZ$ production at the LHC: an improved description by matrix-element matching

no code implementations23 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

One-Bit Symbol-Level Precoding for MU-MISO Downlink with Intelligent Reflecting Surface

no code implementations8 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).

Siamese Keypoint Prediction Network for Visual Object Tracking

1 code implementation7 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.

Visual Object Tracking

Minimizing Age-of-Information for Fog Computing-supported Vehicular Networks with Deep Q-learning

no code implementations4 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.

Autonomous Driving Q-Learning

AliCoCo: Alibaba E-commerce Cognitive Concept Net

no code implementations30 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.

Trend and forecasting of the COVID-19 outbreak in China

1 code implementation14 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.

Minimum Symbol-Error Probability Symbol-Level Precoding with Intelligent Reflecting Surface

no code implementations19 Jan 2020 Mingjie Shao, Qiang Li, Wing-Kin Ma

Recently, the use of intelligent reflecting surface (IRS) has gained considerable attention in wireless communications.

Sum Rate Maximization for Multiuser MISO Downlink with Intelligent Reflecting Surface

no code implementations19 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.

Machine Learning-based Signal Detection for PMH Signals in Load-modulated MIMO System

no code implementations24 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.

Adversarial Training Methods for Network Embedding

1 code implementation30 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.

Link Prediction Network Embedding +1

Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation

1 code implementation2 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.

Super-Resolution

Adapting Stochastic Block Models to Power-Law Degree Distributions

no code implementations5 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.

StyleRemix: An Interpretable Representation for Neural Image Style Transfer

no code implementations27 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.

Style Transfer

End-to-end Hand Mesh Recovery from a Monocular RGB Image

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.

3D Hand Pose Estimation

Polarization Fraction Measurement in same sign WW scattering using Deep Learning

1 code implementation18 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

Receiver Design for Faster-than-Nyquist Signaling: Deep-learning-based Architectures

no code implementations7 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.

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning

no code implementations10 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).

Fine-tuning Transfer Learning

Adversarial Network Embedding

no code implementations21 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.

Link Prediction Network Embedding +1

Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising

no code implementations23 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.

Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches

no code implementations29 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.

Feature Engineering

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