1 code implementation • 24 Jan 2023 • Jinpeng Shi, Hui Li, Tianle Liu, Yulong Liu, Mingjian Zhang, Jinchen Zhu, Ling Zheng, Shizhuang Weng
To further exploit the potential of the transformer, we propose a novel flexible window training strategy.
no code implementations • 2 Jan 2023 • Wenkang Zhu, Hui Li, Yikai Zhang, Yuqing Hou, Liwei Chen
Inference time of ViTSR and FCN was optimized to 50. 97 ms and 67. 86 ms on AI edge board after operator fusion and model pruning.
no code implementations • 1 Jan 2023 • Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian
Deploying reliable deep learning techniques in interdisciplinary applications needs learned models to output accurate and ({even more importantly}) explainable predictions.
1 code implementation • 20 Dec 2022 • Xiaohua Ma, Xiangru Li, Ali Luo, Jinqu Zhang, Hui Li
With the development of a series of Galaxy sky surveys in recent years, the observations increased rapidly, which makes the research of machine learning methods for galaxy image recognition a hot topic.
no code implementations • 18 Dec 2022 • Jianan Li, Shenwang Jiang, Liqiang Song, Peiran Peng, Feng Mu, Hui Li, Peng Jiang, Tingfa Xu
Hence, the timely and accurate detection of surface defects is crucial for FAST's stable operation.
no code implementations • 17 Dec 2022 • Hui Li, MingJie Sun, Jimin Xiao, Eng Gee Lim, Yao Zhao
To validate our framework on a weakly-supervised setting, we annotated three RES benchmark datasets (RefCOCO, RefCOCO+ and RefCOCOg) with click annotations. Our method is simple but surprisingly effective, outperforming all previous state-of-the-art RES methods on fully- and weakly-supervised settings by a large margin.
no code implementations • 6 Dec 2022 • Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji
This paper illustrates our BMA detection system SGRL (Self-supervised Graph Representation Learning) used in WeChat, a representative MMMA with over a billion users.
no code implementations • 30 Nov 2022 • Yining Wang, Xumeng Gong, Shaochuan Li, Bing Yang, YiWu Sun, Chuan Shi, Yangang Wang, Cheng Yang, Hui Li, Le Song
Its improvement in both accuracy and efficiency makes it a valuable tool for de novo antibody design and could make further improvements in immuno-theory.
no code implementations • CVPR 2022 • Hui Li, Zidong Guo, Seon-Min Rhee, Seungju Han, Jae-Joon Han
We formulate facial landmark detection as a coordinate regression task such that the model can be trained end-to-end.
Ranked #2 on
Face Alignment
on 300W Split 2
(NME (box) metric)
no code implementations • 28 Jul 2022 • Hui Li, Xuekang Yang, Xin Zhao, Lin Yu, Jiping Zheng, Wei Sun
Incorporating prior knowledge into pre-trained language models has proven to be effective for knowledge-driven NLP tasks, such as entity typing and relation extraction.
1 code implementation • 28 Jul 2022 • Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Xiaonan Zhang, Hua Wu, Hui Li, Le Song
Our proposed method, HelixFold-Single, first pre-trains a large-scale protein language model (PLM) with thousands of millions of primary sequences utilizing the self-supervised learning paradigm, which will be used as an alternative to MSAs for learning the co-evolution information.
no code implementations • 30 Jun 2022 • Xu Song, Xiao-Jun Wu, Hui Li
Since MDLatLRR only considers detailed parts (salient features) of input images extracted by latent low-rank representation (LatLRR), it doesn't use base parts (principal features) extracted by LatLRR effectively.
2 code implementations • 23 Jun 2022 • Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li
Leg-UP learns user behavior patterns from real users in the sampled ``templates'' and constructs fake user profiles.
1 code implementation • 17 Jun 2022 • Hui Li, Zihao Li, Rui Ma, Tieru Wu
In this paper, we propose a novel CAM weighting scheme, named FD-CAM, to improve both the faithfulness and discriminability of the CAM-based CNN visual explanation.
no code implementations • 20 May 2022 • Yuning Wu, Jieliang Luo, Hui Li
Rewards play an essential role in reinforcement learning.
no code implementations • 9 May 2022 • Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng
In this paper, we present a visual encoding framework for CTR prediction to overcome these problems.
1 code implementation • 25 Apr 2022 • Zhishe Wang, Yanlin Chen, Wenyu Shao, Hui Li, Lei Zhang
The existing deep learning fusion methods mainly concentrate on the convolutional neural networks, and few attempts are made with transformer.
1 code implementation • CVPR 2022 • Caiyuan Zheng, Hui Li, Seon-Min Rhee, Seungju Han, Jae-Joon Han, Peng Wang
A robust consistency regularization based semi-supervised framework is proposed for STR, which can effectively solve the instability issue due to domain inconsistency between synthetic and real images.
no code implementations • 29 Mar 2022 • Chao Chen, Xiaowei Jin, Hui Li
The partial differential equation (PDE) plays a significantly important role in many fields of science and engineering.
no code implementations • 5 Mar 2022 • Jin Liang, Anran Zhang, Jun Xu, Hui Li, XianTong Zhen
The Single-Exposure Correction (SEC) and Multi-Exposure Fusion (MEF) are two widely studied image processing tasks for image exposure enhancement.
1 code implementation • 21 Jan 2022 • Zhangyong Tang, Tianyang Xu, Hui Li, Xiao-Jun Wu, XueFeng Zhu, Josef Kittler
The effectiveness of the proposed decision-level fusion strategy owes to a number of innovative contributions, including a dynamic weighting of the RGB and TIR contributions and a linear template update operation.
no code implementations • 29 Dec 2021 • Xu Song, Xiao-Jun Wu, Hui Li, Jun Sun, Vasile Palade
The Res2Net-based encoder is used to extract multi-scale features of source images, the paper introducing a new training strategy for training a Res2Net-based encoder that uses only a single image.
1 code implementation • 19 Nov 2021 • Yanni Li, Wenhui Zhang, Jiawei Liu, Xiaoli Kou, Hui Li, Jiangtao Cui
Despite the fact that deep neural networks (DNNs) have achieved prominent performance in various applications, it is well known that DNNs are vulnerable to adversarial examples/samples (AEs) with imperceptible perturbations in clean/original samples.
no code implementations • 27 Oct 2021 • Wang Chen, Jian Chen, Weitian Wu, Xinmin Yang, Hui Li
For performance assessment, the proposed algorithm is compared with existing four state-of-the-art multiobjective evolutionary algorithms on benchmark test problems with various types of Pareto optimal fronts.
no code implementations • 13 Sep 2021 • Hui Li
C-V2X includes two solutions: Uu interface based C-V2X and PC5 interface based C-V2X.
1 code implementation • 21 Aug 2021 • Huai Chen, Renzhen Wang, Xiuying Wang, Jieyu Li, Qu Fang, Hui Li, Jianhao Bai, Qing Peng, Deyu Meng, Lisheng Wang
To address this challenge, in this paper, we propose a general unsupervised representation learning framework, named local discrimination (LD), to learn local discriminative features for medical images by closely embedding semantically similar pixels and identifying regions of similar structures across different images.
no code implementations • 13 Jul 2021 • Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau
A progressive texture blending module is designed to blend the encoded two-stream features in a multi-scale and progressive manner.
no code implementations • 3 Jul 2021 • Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi
Deep learning provides a promising way to extract effective representations from raw data in an end-to-end fashion and has proven its effectiveness in various domains such as computer vision, natural language processing, etc.
no code implementations • 24 Jun 2021 • Guozhi Tang, Lele Xie, Lianwen Jin, Jiapeng Wang, Jingdong Chen, Zhen Xu, Qianying Wang, Yaqiang Wu, Hui Li
Through key-value matching based on relevancy evaluation, the proposed MatchVIE can bypass the recognitions to various semantics, and simply focuses on the strong relevancy between entities.
no code implementations • 17 May 2021 • Lu Wang, xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang
Secondly, on top of the proposed graph transformer, we introduce a two-stream encoder that separately extracts representations from temporal neighborhoods associated with the two interaction nodes and then utilizes a co-attentional transformer to model inter-dependencies at a semantic level.
no code implementations • 5 May 2021 • Weihong Ma, Hesuo Zhang, Shuang Yan, Guangshun Yao, Yichao Huang, Hui Li, Yaqiang Wu, Lianwen Jin
For building a robust point detector, a fully convolutional network with feature fusion module is adopted, which can distinguish close points compared to traditional methods.
1 code implementation • 5 Apr 2021 • Haoran Wei, Qingbo Wu, Hui Li, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
In this paper, we propose a Non-Homogeneous Haze Removal Network (NHRN) via artificial scene prior and bidimensional graph reasoning.
no code implementations • 17 Mar 2021 • Yanlin Wang, Hui Li
Code completion has become an essential component of integrated development environments.
1 code implementation • 14 Mar 2021 • Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, Rongxin Wu
In this paper, we present the Block-wise Abstract Syntax Tree Splitting method (BASTS for short), which fully utilizes the rich tree-form syntax structure in ASTs, for improving code summarization.
1 code implementation • 7 Mar 2021 • Hui Li, Xiao-Jun Wu, Josef Kittler
The most difficult part of the design is to choose an appropriate strategy to generate the fused image for a specific task in hand.
no code implementations • 1 Mar 2021 • Xiao Huang, Hong Qiao, Hui Li, Zhihong Jiang
Rapid, accurate and robust detection of looming objects in cluttered moving backgrounds is a significant and challenging problem for robotic visual systems to perform collision detection and avoidance tasks.
no code implementations • 1 Mar 2021 • Xiao Huang, Hong Qiao, Hui Li, Zhihong Jiang
Robust and accurate detection of small moving targets in cluttered moving backgrounds is a significant and challenging problem for robotic visual systems to perform search and tracking tasks.
1 code implementation • 25 Feb 2021 • Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu, Shuo Yang, Yuanjun Xiong, Wei Xia, Yan Xu, Man Luo, Jian Liu, Jianshu Li, Zhijun Chen, Mingyu Guo, Hui Li, Junfu Liu, Pengfei Gao, Tianqi Hong, Hao Han, Shijie Liu, Xinhua Chen, Di Qiu, Cheng Zhen, Dashuang Liang, Yufeng Jin, Zhanlong Hao
It is the largest face anti-spoofing dataset in terms of the numbers of the data and the subjects.
no code implementations • 13 Feb 2021 • Si Chen, Yuqiu Qian, Hui Li, Chen Lin
We leverage Graph Neural Network and multi-task learning to design M$^3$Rec in order to model the complex information in the heterogeneous sequential recommendation scenario of Tencent Games.
no code implementations • 26 Jan 2021 • Wenliang Qian, Yang Xu, WangMeng Zuo, Hui Li
In this work, we propose a Self Sparse Generative Adversarial Network (Self-Sparse GAN) that reduces the parameter space and alleviates the zero gradient problem.
no code implementations • 25 Jan 2021 • Ze-Bin Wu, Daniel Putzky, Asish K. Kundu, Hui Li, Shize Yang, Zengyi Du, Sang Hyun Joo, Jinho Lee, Yimei Zhu, Gennady Logvenov, Bernhard Keimer, Kazuhiro Fujita, Tonica Valla, Ivan Bozovic, Ilya K. Drozdov
This indicates that the pseudogap and superconductivity are of different origins.
Superconductivity Materials Science
no code implementations • NeurIPS Workshop LMCA 2020 • Haoran Sun, Wenbo Chen, Hui Li, Le Song
Branch-and-Bound~(B\&B) is a general and widely used algorithm paradigm for solving Mixed Integer Programming~(MIP).
no code implementations • 22 Dec 2020 • Liang Li, Dian Shi, Ronghui Hou, Hui Li, Miao Pan, Zhu Han
Recent advances in machine learning, wireless communication, and mobile hardware technologies promisingly enable federated learning (FL) over massive mobile edge devices, which opens new horizons for numerous intelligent mobile applications.
no code implementations • 1 Nov 2020 • Haonan Yan, Xiaoguang Li, Hui Li, Jiamin Li, Wenhai Sun, Fenghua Li
In MDP, we first propose a novel real-time model extraction status assessment scheme called Monitor to evaluate the situation of the model.
no code implementations • 26 Oct 2020 • Haibo Su, Peng Wang, Lingqiao Liu, Hui Li, Zhen Li, Yanning Zhang
Fashion products typically feature in compositions of a variety of styles at different clothing parts.
1 code implementation • 22 Oct 2020 • Daniel Murfet, Susan Wei, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella
In singular models, the optimal set of parameters forms an analytic set with singularities and classical statistical inference cannot be applied to such models.
no code implementations • 15 Oct 2020 • Jieliang Luo, Hui Li
In this work we propose a learning approach to high-precision robotic assembly problems.
no code implementations • 14 Oct 2020 • Hui Li
Disruptive changes in vehicles and transportation have been triggered by automated, connected, electrified and shared mobility.
1 code implementation • 7 Sep 2020 • Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis
Nonnegative matrix factorization (NMF) has been successfully applied in several data mining tasks.
no code implementations • 7 Aug 2020 • Hui Li, Qianhui Huang, Yu Liu, Lana X Garmire
Human placenta is a complex and heterogeneous organ interfacing between the mother and the fetus that supports fetal development.
1 code implementation • 1 Jul 2020 • Hui Li, Xiao-Jun Wu, Tariq Durrani
In our proposed fusion strategy, spatial attention models and channel attention models are developed that describe the importance of each spatial position and of each channel with deep features.
no code implementations • 8 Jun 2020 • Ding Liu, Hui Li
This approach, called Quantum Clustering (QC), deals with unlabeled data processing and constructs a potential function to find the centroids of clusters and the outliers.
no code implementations • 6 Jun 2020 • Linjiang Zhang, Peng Wang, Hui Li, Zhen Li, Chunhua Shen, Yanning Zhang
On the other hand, the 2D attentional based license plate recognizer with an Xception-based CNN encoder is capable of recognizing license plates with different patterns under various scenarios accurately and robustly.
no code implementations • 2 Jun 2020 • Peng Wang, Dongyang Liu, Hui Li, Qi Wu
In this case, we need to use commonsense knowledge to identify the objects in the image.
2 code implementations • 1 Jun 2020 • Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton Van Den Hengel, Qi Wu
In this paper, we propose an end-to-end structured multimodal attention (SMA) neural network to mainly solve the first two issues above.
1 code implementation • 20 May 2020 • Xinyi Shen, Chenkai Cai, Hui Li
We finally estimate the reduced reproductive number and the population spared from infections due to restricting SA at 40, 964, 180, 336, 174, 494, in China, United States, and Europe respectively.
2 code implementations • 17 May 2020 • Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang
Recommendation Systems (RS) have become an essential part of many online services.
no code implementations • 19 Apr 2020 • Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Weiqiang Wang, Yuan Qi, Le Song
We propose a \emph{collaborative} multi-agent reinforcement learning algorithm named variational policy propagation (VPP) to learn a \emph{joint} policy through the interactions over agents.
Multi-agent Reinforcement Learning
reinforcement-learning
+2
no code implementations • 18 Apr 2020 • Hui Li, Xi Yang, ZhenMing Li, TianLun Zhang
To improve the visual quality of underwater images, we proposed a novel enhancement model, which is a trainable end-to-end neural model.
no code implementations • 16 Apr 2020 • Dawei Liu, Zhiyi Tang, Yuequan Bao, Hui Li
A self-coding deep neural network is designed to identify the structural modal parameters from the vibration data of structures.
no code implementations • 6 Mar 2020 • Yong Huang, Haoyu Zhang, Hui Li, Stephen Wu
We develop a recovery framework for automatic crack segmentation of compressed crack images based on this new CS method and demonstrate the remarkable performance of the method taking advantage of the strong capability of generative models to capture the necessary features required in the crack segmentation task even the backgrounds of the generated images are not well reconstructed.
no code implementations • 5 Mar 2020 • Qinghua Chen, Zengru Di, Eduardo M. Garcia-Roger, Hui Li, Peter Richmond, Bertrand M. Roehner
We find that, in line with the few other species for which data are available, the embryonic mortality of zebrafish has a prominent peak shortly after fertilization.
no code implementations • 4 Mar 2020 • Jieliang Luo, Hui Li
Our ablation studies show that Dynamic Experience Replay is a crucial ingredient that either largely shortens the training time in these challenging environments or solves the tasks that the vanilla Ape-X DDPG cannot solve.
no code implementations • 6 Feb 2020 • Xiaoguang Li, Hui Li, Haonan Yan, Zelei Cheng, Wenhai Sun, Hui Zhu
Public intelligent services enabled by machine learning algorithms are vulnerable to model extraction attacks that can steal confidential information of the learning models through public queries.
no code implementations • 4 Feb 2020 • Huai-Shui Tong, Xiao-Jun Wu, Hui Li
This paper presents an improved dual channel pulse coupled neural network (IDC-PCNN) model for image fusion.
no code implementations • 17 Dec 2019 • Ya-Qiong Zhang, Xiao-Jun Wu, Hui Li
For three source images, a joint region segmentation method based on segmentation of two images is used to obtain the final segmentation result.
1 code implementation • 2 Nov 2019 • Hui Li, Jimin Xiao, Ming-Jie Sun, Eng Gee Lim, Yao Zhao
To tackle this problem, we propose to iteratively guess pseudo labels for the unlabeled image samples, which are later used to update the re-identification model together with the labelled samples.
no code implementations • 17 Sep 2019 • Hieu Nguyen, Hui Li, Qiang Qiu, Yuzeng Wang, Zhao-Yang Wang
A robust single-shot 3D shape reconstruction technique integrating the fringe projection profilometry (FPP) technique with the deep convolutional neural networks (CNNs) is proposed in this letter.
no code implementations • 8 Jul 2019 • Fangqiao Hu, Jin Zhao, Yong Huang, Hui Li
Considering the prior human knowledge that these structures are in conformity to regular spatial layouts in terms of components, a learning-based topology-aware 3D reconstruction method which can obtain high-level structural graph layouts and low-level 3D shapes from images is proposed in this paper.
no code implementations • 18 Jun 2019 • Hui Li, Mengting Xu, Sourav S. Bhowmick, Changsheng Sun, Zhongyuan Jiang, Jiangtao Cui
As the number of required samples have been recently proven to be lower bounded by a particular threshold that presets tradeoff between the accuracy and efficiency, the result quality of these traditional solutions is hard to be further improved without sacrificing efficiency.
no code implementations • 14 Jun 2019 • Peng Wang, Hui Li, Chunhua Shen
Text spotting in natural scene images is of great importance for many image understanding tasks.
1 code implementation • 2 Apr 2019 • Lu Yang, Fan Dang, Peng Wang, Hui Li, Zhen Li, Yanning Zhang
In this work, we propose a simple yet strong approach for scene text recognition.
no code implementations • 31 Mar 2019 • Hui Li, Meng Yang, Zhihui Lai, Wei-Shi Zheng, Zitong Yu
Deep part-based methods in recent literature have revealed the great potential of learning local part-level representation for pedestrian image in the task of person re-identification.
no code implementations • 26 Mar 2019 • Cheng Wang, Mathias Niepert, Hui Li
Although various transfer learning methods have shown promising performance in this context, our proposed novel method RecSys-DAN focuses on alleviating the cross-domain and within-domain data sparsity and data imbalance and learns transferable latent representations for users, items and their interactions.
4 code implementations • 13 Mar 2019 • Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, David S. Rosenblum
We present MMKG, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KGs.
no code implementations • 3 Feb 2019 • Hui Li, Ye Liu, Yan Qiu Chen
Complex motion patterns of natural systems, such as fish schools, bird flocks, and cell groups, have attracted great attention from scientists for years.
no code implementations • 7 Jan 2019 • Yuequan Bao, Zhiyi Tang, Hui Li
The prior knowledge, i. e., the basis matrix and the CS-sampled signals, are used as the input and the target of the network; the basis coefficient matrix is embedded as the parameters of a certain layer; the objective function of conventional compressive sensing is set as the loss function of the network.
no code implementations • ICLR 2020 • Hui Li, Kailiang Hu, Zhibang Ge, Tao Jiang, Yuan Qi, Le Song
Counterfactual Regret Minimization (CRF) is a fundamental and effective technique for solving Imperfect Information Games (IIG).
1 code implementation • 27 Dec 2018 • Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
There are great interests as well as many challenges in applying reinforcement learning (RL) to recommendation systems.
Model-based Reinforcement Learning
Recommendation Systems
+2
no code implementations • CVPR 2019 • Hui Li, Peng Wang, Chunhua Shen, Anton Van Den Hengel
In contrast to struggling on multimodal feature fusion, in this paper, we propose to unify all the input information by natural language so as to convert VQA into a machine reading comprehension problem.
2 code implementations • 6 Nov 2018 • Hui Li, Xiao-Jun Wu, Josef Kittler
We develop a novel image fusion framework based on MDLatLRR, which is used to decompose source images into detail parts(salient features) and base parts.
7 code implementations • 2 Nov 2018 • Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang
Recognizing irregular text in natural scene images is challenging due to the large variance in text appearance, such as curvature, orientation and distortion.
no code implementations • EMNLP 2018 • Cheng Wang, Mathias Niepert, Hui Li
More importantly, LRMM is more robust to previous methods in alleviating data-sparsity and the cold-start problem.
2 code implementations • 19 Jun 2018 • Hui Li, Xiao-Jun Wu, Tariq S. Durrani
Feature extraction and processing tasks play a key role in Image Fusion, and the fusion performance is directly affected by the different features and processing methods undertaken.
1 code implementation • ICML 2018 • Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song
Deep learning on graph structures has shown exciting results in various applications.
1 code implementation • 13 May 2018 • Shiyin Wei, Xiaowei Jin, Hui Li
A universal rule-based self-learning approach using deep reinforcement learning (DRL) is proposed for the first time to solve nonlinear ordinary differential equations and partial differential equations.
2 code implementations • 25 Apr 2018 • Hui Li, Xiao-Jun Wu, Tariq Durrani
Multi-focus noisy image fusion represents an important task in the field of image fusion which generates a single, clear and focused image from all source images.
2 code implementations • 24 Apr 2018 • Hui Li, Xiao-Jun Wu
Then, the low-rank parts are fused by weighted-average strategy to preserve more contour information.
4 code implementations • 23 Apr 2018 • Hui Li, Xiao-Jun Wu
In this paper, we present a novel deep learning architecture for infrared and visible images fusion problem.
2 code implementations • 23 Apr 2018 • Hui Li, Xiao-Jun Wu
In this paper, we propose a novel multi-focus image fusion method based on dictionary learning and LRR to get a better performance in both global and local structure.
3 code implementations • 19 Apr 2018 • Hui Li, Xiao-Jun Wu, Josef Kittler
Then the base parts are fused by weighted-averaging.
2 code implementations • 7 Apr 2018 • Jun Xu, Hui Li, Zhetong Liang, David Zhang, Lei Zhang
In order to promote the study on this problem while implementing the concurrent real-world image denoising datasets, we construct a new benchmark dataset which contains comprehensive real-world noisy images of different natural scenes.
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 • 30 Jan 2018 • Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert, Hui Li
This is exploited in sentiment analysis where machine learning models are used to predict the review score from the text of the review.
no code implementations • 26 Sep 2017 • Hui Li, Peng Wang, Chunhua Shen
In contrast to existing approaches which take license plate detection and recognition as two separate tasks and settle them step by step, our method jointly solves these two tasks by a single network.
no code implementations • 15 Sep 2017 • Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
Compared with other CMOEAs, the proposed PPS method can more efficiently get across infeasible regions and converge to the feasible and non-dominated regions by applying push and pull search strategies at different stages.
no code implementations • 14 Sep 2017 • Yanjie Wang, Rainer Gemulla, Hui Li
Bilinear models belong to the most basic models for this task, they are comparably efficient to train and use, and they can provide good prediction performance.
no code implementations • ICCV 2017 • Hui Li, Peng Wang, Chunhua Shen
In this work, we jointly address the problem of text detection and recognition in natural scene images based on convolutional recurrent neural networks.
no code implementations • 13 Jan 2017 • Yong Huang, James L. Beck, Hui Li
The focus in this paper is Bayesian system identification based on noisy incomplete modal data where we can impose spatially-sparse stiffness changes when updating a structural model.
no code implementations • 21 Dec 2016 • Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
Multi-objective evolutionary algorithms (MOEAs) have progressed significantly in recent decades, but most of them are designed to solve unconstrained multi-objective optimization problems.
no code implementations • 28 Sep 2016 • Guangliang Du, Minmin Wang, Canlin Zhou, Shuchun Si, Hui Li, Zhenkun Lei, YanJie Li
In this paper, we proposed an improved method, which eliminates the system calibration and determination in Zhang's method, meanwhile does not need to use the low frequency fringe pattern.
no code implementations • 7 Jun 2016 • Minmin Wang, Guangliang Du, Canlin Zhou, Chaorui Zhang, Shuchun Si, Hui Li, Zhenkun Lei, YanJie Li
We proposed a method for enhanced high dynamic range 3D shape measurement based on generalized phase-shifting algorithm, which combines the complementary technique of inverted and regular fringe patterns with generalized phase-shifting algorithm.
1 code implementation • 21 Jan 2016 • Hui Li, Chunhua Shen
Inspired by the success of deep neural networks (DNNs) in various vision applications, here we leverage DNNs to learn high-level features in a cascade framework, which lead to improved performance on both detection and recognition.
no code implementations • 17 May 2015 • Kai-Fu Yang, Hui Li, Chao-Yi Li, Yong-Jie Li
We define the task of salient structure (SS) detection to unify the saliency-related tasks like fixation prediction, salient object detection, and other detection of structures of interest.
no code implementations • 28 Mar 2015 • Yong Huang, James L. Beck, Stephen Wu, Hui Li
The application of compressive sensing (CS) to structural health monitoring is an emerging research topic.
no code implementations • 27 Nov 2014 • Hui Li, Chunhua Shen, Anton Van Den Hengel, Qinfeng Shi
Our method is also much faster and more scalable than standard interior-point SDP solvers based WLDA.
no code implementations • 17 Oct 2014 • Weiyang Liu, Zhiding Yu, Lijia Lu, Yandong Wen, Hui Li, Yuexian Zou
The LCD similarity measure can be kernelized under KCRC, which theoretically links CRC and LCD under the kernel method.
no code implementations • 4 May 2013 • Hui Li, Xiaomeng Wang, Weifeng Liu, Yan-Jiang Wang
Image enhancement is an important image processing technique that processes images suitably for a specific application e. g. image editing.
no code implementations • 5 Mar 2012 • Jingxiu Wang, Guiping Zhou, Chunlan Jin, Hui Li
Each of the clusters is characterized by a few well-developed ERs that are partially or fully co-aligned in magnetic axis orientation.
Solar and Stellar Astrophysics