Search Results for author: Li Liu

Found 106 papers, 38 papers with code

Region Graph Embedding Network for Zero-Shot Learning

no code implementations ECCV 2020 Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao

To exploit the progressive interactions among these regions, we represent them as a region graph, on which the parts relation reasoning is performed with graph convolutions, thus leading to our PRR branch.

Graph Embedding Zero-Shot Learning

Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery

no code implementations18 Jan 2022 Yan Zhao, Lingjun Zhao, Zhong Liu, Dewen Hu, Gangyao Kuang, Li Liu

Aircraft detection in Synthetic Aperture Radar (SAR) imagery is a challenging task in SAR Automatic Target Recognition (SAR ATR) areas due to aircraft's extremely discrete appearance, obvious intraclass variation, small size and serious background's interference.

Improved Neural Distinguishers with (Related-key) Differentials: Applications in SIMON and SIMECK

no code implementations11 Jan 2022 Jinyu Lu, Guoqiang Liu, Yunwen Liu, Bing Sun, Chao Li, Li Liu

In CRYPTO 2019, Gohr made a pioneering attempt, and successfully applied deep learning to the differential cryptanalysis against NSA block cipher Speck32/64, achieving higher accuracy than the pure differential distinguishers.


Decoupling Makes Weakly Supervised Local Feature Better

no code implementations8 Jan 2022 Kunhong Li, LongguangWang, Li Liu, Qing Ran, Kai Xu, Yulan Guo

Weakly supervised learning can help local feature methods to overcome the obstacle of acquiring a large-scale dataset with densely labeled correspondences.

Image Matching

MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution

1 code implementation4 Jan 2022 Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Li Liu, Zaiping Lin, Shilin Zhou

Specifically, motivated by the local motion prior in the spatio-temporal dimension, we propose a local spatiotemporal attention module to perform implicit frame alignment and incorporate the local spatio-temporal information to enhance the local features (especially for small targets).


Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework

no code implementations3 Nov 2021 Keyu Li, Yangxin Xu, Jian Wang, Dong Ni, Li Liu, Max Q. -H. Meng

Ultrasound (US) imaging is commonly used to assist in the diagnosis and interventions of spine diseases, while the standardized US acquisitions performed by manually operating the probe require substantial experience and training of sonographers.

Decision Making

Transient Synchronization Stability Analysis of Wind Farms with MMC-HVDC Integration Under Offshore AC Grid Fault

no code implementations25 Oct 2021 Yu Zhang, Chen Zhang, Renxin Yang, Jing Lyu, Li Liu, Xu Cai

The MMC-HVDC connected offshore wind farms (OWFs) could suffer short circuit fault (SCF), whereas their transient stability is not well analysed.

Unsupervised cross-user adaptation in taste sensation recognition based on surface electromyography with conformal prediction and domain regularized component analysis

no code implementations20 Oct 2021 Hengyang Wang, Xianghao Zhan, Li Liu, Asif Ullah, Huiyan Li, Han Gao, You Wang, Guang Li

The results show that DRCA improved the classification accuracy on six subjects (p < 0. 05), compared with the baseline models trained only with the source domain data;, while CPSC did not guarantee the accuracy improvement.

Data Augmentation

Dynamic Binary Neural Network by learning channel-wise thresholds

no code implementations8 Oct 2021 Jiehua Zhang, Zhuo Su, Yanghe Feng, Xin Lu, Matti Pietikäinen, Li Liu

The experimental results prove that our method is an effective and straightforward way to reduce information loss and enhance performance of BNNs.

J-Score: A Robust Measure of Clustering Accuracy

no code implementations3 Sep 2021 Navid Ahmadinejad, Li Liu

It then computes two weighted sums of Jaccard indices measuring the reconciliation from classes to clusters and vice versa.

set matching

Pixel Difference Networks for Efficient Edge Detection

2 code implementations ICCV 2021 Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu

A faster version of PiDiNet with less than 0. 1M parameters can still achieve comparable performance among state of the arts with 200 FPS.

BSDS500 Edge Detection

Investigate the Essence of Long-Tailed Recognition from a Unified Perspective

no code implementations8 Jul 2021 Lei Liu, Li Liu

Specifically, we demonstrate that long-tailed recognition suffers from both sample number and category similarity.

Self-Supervised Learning

Multi-modal Entity Alignment in Hyperbolic Space

no code implementations7 Jun 2021 Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu

To mitigate this problem, a viable approach is to integrate complementary knowledge from other MMKGs.

Entity Alignment Knowledge Graphs

Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification

1 code implementation CVPR 2020 Yichao Yan, Jie Qin1, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao

In each hypergraph, different temporal granularities are captured by hyperedges that connect a set of graph nodes (i. e., part-based features) across different temporal ranges.

Video-Based Person Re-Identification

Learning Multi-Attention Context Graph for Group-Based Re-Identification

1 code implementation29 Apr 2021 Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao

Extensive experiments on the novel dataset as well as three existing datasets clearly demonstrate the effectiveness of the proposed framework for both group-based re-id tasks.

Person Re-Identification

Classifying herbal medicine origins by temporal and spectral data mining of electronic nose

1 code implementation14 Apr 2021 Li Liu, Xianghao Zhan, Ziheng Duan, Yi Wu, Rumeng Wu, Xiaoqing Guan, Zhan Wang, You Wang, Guang Li

In this study, we classified different origins of three categories of herbal medicines with different feature extraction methods: manual feature extraction, mathematical transformation, deep learning algorithms.

Dimensionality Reduction

Anchor-Free Person Search

1 code implementation CVPR 2021 Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao

Person search aims to simultaneously localize and identify a query person from realistic, uncropped images, which can be regarded as the unified task of pedestrian detection and person re-identification (re-id).

Pedestrian Detection Person Re-Identification +1

Deep Learning for Instance Retrieval: A Survey

no code implementations27 Jan 2021 Wei Chen, Yu Liu, Weiping Wang, Erwin Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, Michael S. Lew

In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics.

Content-Based Image Retrieval Instance Search

Deep Learning for Scene Classification: A Survey

no code implementations26 Jan 2021 Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu

Scene classification, aiming at classifying a scene image to one of the predefined scene categories by comprehending the entire image, is a longstanding, fundamental and challenging problem in computer vision.

General Classification Scene Classification

How to Train Your Agent to Read and Write

1 code implementation4 Jan 2021 Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu

Typically, this requires an agent to fully understand the knowledge from the given text materials and generate correct and fluent novel paragraphs, which is very challenging in practice.

KG-to-Text Generation Knowledge Graphs

Exploring Inter-Channel Correlation for Diversity-Preserved Knowledge Distillation

1 code implementation ICCV 2021 Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang

Extensive experiments on two vision tasks, including ImageNet classification and Pascal VOC segmentation, demonstrate the superiority of our ICKD, which consistently outperforms many existing methods, advancing the state-of-the-art in the fields of Knowledge Distillation.

Knowledge Distillation

Localized Simple Multiple Kernel K-Means

1 code implementation ICCV 2021 Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

After that, we theoretically show that the objective of SimpleMKKM is a special case of this local kernel alignment criterion with normalizing each base kernel matrix.

One-Pass Multi-View Clustering for Large-Scale Data

no code implementations ICCV 2021 Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi

In this way, the generated partition can guide multi-view matrix factorization to produce more purposive coefficient matrix which, as a feedback, improves the quality of partition.

The Unreasonable Effectiveness of the Class-reversed Sampling in Tail Sample Memorization

no code implementations1 Jan 2021 Benyi Hu, Chi Zhang, Yuehu Liu, Le Wang, Li Liu

Long-tailed visual class recognition poses significant challenges to traditional machine learning and emerging deep networks due to its inherent class imbalance.

Distributed Fusion Estimation for Stochastic Uncertain Systems with Network-Induced Complexity and Multiple Noise

no code implementations24 Dec 2020 Li Liu, Wenju Zhou, Minrui Fei, Zhile Yang, Hongyong Yang, Huiyu Zhou

This paper investigates an issue of distributed fusion estimation under network-induced complexity and stochastic parameter uncertainties.

Learning Class Unique Features in Fine-Grained Visual Classification

no code implementations22 Nov 2020 Runkai Zheng, Zhijia Yu, Yinqi Zhang, Chris Ding, Hei Victor Cheng, Li Liu

A major challenge in Fine-Grained Visual Classification (FGVC) is distinguishing various categories with high inter-class similarity by learning the feature that differentiate the details.

Fine-Grained Image Classification General Classification

Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog

no code implementations5 Nov 2020 Shen Gao, Xiuying Chen, Li Liu, Dongyan Zhao, Rui Yan

Hence, in this paper, we propose to recommend an appropriate sticker to user based on multi-turn dialog context and sticker using history of user.

Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography

no code implementations2 Nov 2020 Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu

With the development of radiomics, noninvasive diagnosis like ultrasound (US) imaging plays a very important role in automatic liver fibrosis diagnosis (ALFD).

Active Learning

Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition

no code implementations26 Oct 2020 Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J Caselli, Eric M Reiman, Yalin Wang

With hippocampal UMIs, the estimated minimum sample sizes needed to detect a 25$\%$ reduction in the mean annual change with 80$\%$ power and two-tailed $P=0. 05$ are 116, 279 and 387 for the longitudinal $A\beta+$ AD, $A\beta+$ mild cognitive impairment (MCI) and $A\beta+$ CU groups, respectively.

FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond

1 code implementation19 Oct 2020 Zhuo Su, Linpu Fang, Deke Guo, Dewen Hu, Matti Pietikäinen, Li Liu

Binary neural networks (BNNs), where both weights and activations are binarized into 1 bit, have been widely studied in recent years due to its great benefit of highly accelerated computation and substantially reduced memory footprint that appeal to the development of resource constrained devices.

Image Classification Quantization

New Ideas and Trends in Deep Multimodal Content Understanding: A Review

no code implementations16 Oct 2020 Wei Chen, Weiping Wang, Li Liu, Michael S. Lew

The focus of this survey is on the analysis of two modalities of multimodal deep learning: image and text.

Cross-Modal Retrieval Image Captioning +4

Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition

1 code implementation13 Oct 2020 Jianrong Wang, Tong Wu, Shanyu Wang, Mei Yu, Qiang Fang, Ju Zhang, Li Liu

To this end, in this work, we present a novel end-to-end 3D lip motion Network (3LMNet) by utilizing the sentence-level 3D lip motion (S3DLM) to recognize speakers in both the text-independent and text-dependent contexts.

Speaker Recognition Text-Independent Speaker Recognition

Group Whitening: Balancing Learning Efficiency and Representational Capacity

1 code implementation CVPR 2021 Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao

Results show that GW consistently improves the performance of different architectures, with absolute gains of $1. 02\%$ $\sim$ $1. 49\%$ in top-1 accuracy on ImageNet and $1. 82\%$ $\sim$ $3. 21\%$ in bounding box AP on COCO.

A Real-time Contribution Measurement Method for Participants in Federated Learning

no code implementations28 Sep 2020 Bingjie Yan, Yize Zhou, Boyi Liu, Jun Wang, Yuhan Zhang, Li Liu, Xiaolan Nie, Zhiwei Fan, Zhixuan Liang

However, there is a lack of a sufficiently reasonable contribution measurement mechanism to distribute the reward for each agent.

Federated Learning

Normalization Techniques in Training DNNs: Methodology, Analysis and Application

no code implementations27 Sep 2020 Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

Normalization techniques are essential for accelerating the training and improving the generalization of deep neural networks (DNNs), and have successfully been used in various applications.

Counterfactual-based minority oversampling for imbalanced classification

no code implementations21 Aug 2020 Hao Luo, Li Liu

A key challenge of oversampling in imbalanced classification is that the generation of new minority samples often neglects the usage of majority classes, resulting in most new minority sampling spreading the whole minority space.

General Classification imbalanced classification

Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection

1 code implementation13 Jul 2020 Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo

(1) The teacher model serves a dual role as a teacher and a student, such that the teacher predictions on unlabeled images may be very close to those of student, which limits the upper-bound of the student.

Knowledge Distillation Object Detection +3

Attention-based Residual Speech Portrait Model for Speech to Face Generation

no code implementations9 Jul 2020 Jianrong Wang, Xiaosheng Hu, Li Liu, Wei Liu, Mei Yu, Tianyi Xu

Given a speaker's speech, it is interesting to see if it is possible to generate this speaker's face.

Face Generation

JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image

1 code implementation ECCV 2020 Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang

The key ideas are two-fold: a) explicitly modeling the dependencies among joints and the relations between the pixels and the joints for better local feature representation learning; b) unifying the dense pixel-wise offset predictions and direct joint regression for end-to-end training.

3D Hand Pose Estimation Graph Convolutional Network +1

Dynamic Group Convolution for Accelerating Convolutional Neural Networks

1 code implementation ECCV 2020 Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu

In this paper, we propose dynamic group convolution (DGC) that adaptively selects which part of input channels to be connected within each group for individual samples on the fly.

Image Classification

Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

no code implementations17 Jun 2020 Jianrong Wang, Ge Zhang, Zhen-Yu Wu, XueWei Li, Li Liu

Compared with static views, abundant dynamic properties between video frames are beneficial to refined depth estimation, especially for dynamic objects.

Monocular Depth Estimation

Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution

no code implementations15 Jun 2020 Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shutao Xia

This work studies black-box adversarial attacks against deep neural networks (DNNs), where the attacker can only access the query feedback returned by the attacked DNN model, while other information such as model parameters or the training datasets are unknown.

Adversarial Attack

Improved Residual Networks for Image and Video Recognition

2 code implementations10 Apr 2020 Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao

We successfully train a 404-layer deep CNN on the ImageNet dataset and a 3002-layer network on CIFAR-10 and CIFAR-100, while the baseline is not able to converge at such extreme depths.

Action Recognition Image Classification +2

Controllable Orthogonalization in Training DNNs

1 code implementation CVPR 2020 Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao

Orthogonality is widely used for training deep neural networks (DNNs) due to its ability to maintain all singular values of the Jacobian close to 1 and reduce redundancy in representation.

Image Classification

An Investigation into the Stochasticity of Batch Whitening

1 code implementation CVPR 2020 Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

Our work originates from the observation that while various whitening transformations equivalently improve the conditioning, they show significantly different behaviors in discriminative scenarios and training Generative Adversarial Networks (GANs).

Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog

1 code implementation10 Mar 2020 Shen Gao, Xiuying Chen, Chang Liu, Li Liu, Dongyan Zhao, Rui Yan

Stickers with vivid and engaging expressions are becoming increasingly popular in online messaging apps, and some works are dedicated to automatically select sticker response by matching text labels of stickers with previous utterances.

Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking

no code implementations8 Mar 2020 Li Liu, Da Chen, Ming-Lei Shu, Baosheng Li, Huazhong Shu, Michel Paques, Laurent D. Cohen

Tubular structure tracking is a crucial task in the fields of computer vision and medical image analysis.

Auto-Encoding Twin-Bottleneck Hashing

1 code implementation CVPR 2020 Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

One bottleneck (i. e., binary codes) conveys the high-level intrinsic data structure captured by the code-driven graph to the other (i. e., continuous variables for low-level detail information), which in turn propagates the updated network feedback for the encoder to learn more discriminative binary codes.

graph construction

Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs

no code implementations ECCV 2020 Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

To this end, we propose layer-wise conditioning analysis, which explores the optimization landscape with respect to each layer independently.

Deep Learning for 3D Point Clouds: A Survey

3 code implementations27 Dec 2019 Yulan Guo, Hanyun Wang, Qingyong Hu, Hao liu, Li Liu, Mohammed Bennamoun

To stimulate future research, this paper presents a comprehensive review of recent progress in deep learning methods for point clouds.

3D Object Detection 3D Shape Classification +2

Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test

no code implementations NeurIPS 2019 Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong liu, Yu Li, Ling Shao

DEAN can be interpreted as a GOF game between two generative networks, where one explicit generative network learns an energy-based distribution that fits the real data, and the other implicit generative network is trained by minimizing a GOF test statistic between the energy-based distribution and the generated data, such that the underlying distribution of the generated data is close to the energy-based distribution.

Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation

no code implementations18 Nov 2019 Yunyi Li, Li Liu, Yu Zhao, Xiefeng Cheng, Guan Gui

The popular L_2-norm and M-estimator are employed for standard image CS and robust CS problem to fit the data respectively.

Compressive Sensing

Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network

1 code implementation6 Nov 2019 Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu

The primary goal of skeletal motion prediction is to generate future motion by observing a sequence of 3D skeletons.

motion prediction

Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent

no code implementations16 Sep 2019 Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

Binary optimization, a representative subclass of discrete optimization, plays an important role in mathematical optimization and has various applications in computer vision and machine learning.


Embarrassingly Simple Binary Representation Learning

1 code implementation26 Aug 2019 Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu

Recent binary representation learning models usually require sophisticated binary optimization, similarity measure or even generative models as auxiliaries.

Representation Learning

RANet: Ranking Attention Network for Fast Video Object Segmentation

2 code implementations ICCV 2019 Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao

Specifically, to integrate the insights of matching based and propagation based methods, we employ an encoder-decoder framework to learn pixel-level similarity and segmentation in an end-to-end manner.

Semantic Segmentation Semi-Supervised Video Object Segmentation +1

Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition

no code implementations22 Jul 2019 Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu

It is computationally efficient and only marginally increases the cost of computing LBPTOP, yet is extremely effective for ME recognition.

Micro-Expression Recognition

Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image

1 code implementation17 Jun 2019 Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao

A simple but useful observation on our NAC is: as long as the noise is weak, it is feasible to learn a self-supervised network only with the corrupted image, approximating the optimal parameters of a supervised network learned with pairs of noisy and clean images.

Image Denoising

NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising

1 code implementation17 Jun 2019 Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao

This is motivated by the fact that finding closely similar pixels is more feasible than similar patches in natural images, which can be used to enhance image denoising performance.

Image Denoising

STAR: A Structure and Texture Aware Retinex Model

1 code implementation16 Jun 2019 Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, Ling Shao

A novel Structure and Texture Aware Retinex (STAR) model is further proposed for illumination and reflectance decomposition of a single image.

Low-Light Image Enhancement

Dynamically Visual Disambiguation of Keyword-based Image Search

no code implementations27 May 2019 Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Li-Min Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao

To address this issue, we present an adaptive multi-model framework that resolves polysemy by visual disambiguation.

General Classification Image Retrieval

Iterative Normalization: Beyond Standardization towards Efficient Whitening

5 code implementations CVPR 2019 Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

With the support of SND, we provide natural explanations to several phenomena from the perspective of optimization, e. g., why group-wise whitening of DBN generally outperforms full-whitening and why the accuracy of BN degenerates with reduced batch sizes.

Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking

no code implementations5 Dec 2018 Ying Shen, Yang Deng, Kaiqi Yuan, Li Liu, Yong liu

Experiments show that our selected features have achieved a precision rate of 86. 77%, a recall rate of 89. 03% and an F1 score of 87. 89%.

Entity Linking

Generative Model for Material Experiments Based on Prior Knowledge and Attention Mechanism

no code implementations16 Nov 2018 Mincong Luo, Xinfu He, Li Liu

In this paper, we propose a generative adversarial model based on prior knowledge and attention mechanism to achieve the generation of irradiated material images (data-to-image model), and a prediction model for corresponding industrial performance (image-to-data model).

Deep Learning for Generic Object Detection: A Survey

no code implementations6 Sep 2018 Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen

Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images.

Object Proposal Generation

Generative Domain-Migration Hashing for Sketch-to-Image Retrieval

1 code implementation ECCV 2018 Jingyi Zhang, Fumin Shen, Li Liu, Fan Zhu, Mengyang Yu, Ling Shao, Heng Tao Shen, Luc van Gool

The generative model learns a mapping that the distributions of sketches can be indistinguishable from the distribution of natural images using an adversarial loss, and simultaneously learns an inverse mapping based on the cycle consistency loss in order to enhance the indistinguishability.

Multi-Task Learning Sketch-Based Image Retrieval

TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights

no code implementations ECCV 2018 Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Jie Qin, Ling Shao, Heng Tao Shen

Despite the remarkable success of Convolutional Neural Networks (CNNs) on generalized visual tasks, high computational and memory costs restrict their comprehensive applications on consumer electronics (e. g., portable or smart wearable devices).

Object Detection

Automatic Derivation Of Formulas Using Reforcement Learning

no code implementations15 Aug 2018 MinZhong Luo, Li Liu

First, the formula is abstractly expressed as a multiway tree model, and then each step of the formula derivation transformation is abstracted as a mapping of multiway trees.


Pixel-level Semantics Guided Image Colorization

no code implementations5 Aug 2018 Jiaojiao Zhao, Li Liu, Cees G. M. Snoek, Jungong Han, Ling Shao

While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from the problems of context confusion and edge color bleeding.

Colorization Semantic Segmentation

Fractional Wavelet Scattering Network and Applications

no code implementations30 Jun 2018 Li Liu, Jiasong Wu, Dengwang Li, Lotfi Senhadji, Huazhong Shu

Results: The error rates for different fractional orders of FrScatNet are examined and show that the classification accuracy is significantly improved in fractional scattering domain.

General Classification Image Classification

SCAN: Sliding Convolutional Attention Network for Scene Text Recognition

no code implementations2 Jun 2018 Yi-Chao Wu, Fei Yin, Xu-Yao Zhang, Li Liu, Cheng-Lin Liu

Scene text recognition has drawn great attentions in the community of computer vision and artificial intelligence due to its challenges and wide applications.

Scene Text Recognition

Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation

1 code implementation15 May 2018 Delu Zeng, Yixuan He, Li Liu, Zhihong Chen, Jiabin Huang, Jie Chen, John Paisley

In this paper, we propose an end-to-end generic salient object segmentation model called Metric Expression Network (MEnet) to deal with saliency detection with the tolerance of distortion.

Saliency Detection Semantic Segmentation

Zero-Shot Sketch-Image Hashing

1 code implementation CVPR 2018 Yuming Shen, Li Liu, Fumin Shen, Ling Shao

As an important part of ZSIH, we formulate a generative hashing scheme in reconstructing semantic knowledge representations for zero-shot retrieval.

Representation Learning Sketch-Based Image Retrieval

Texture Classification in Extreme Scale Variations using GANet

no code implementations13 Feb 2018 Li Liu, Jie Chen, Guoying Zhao, Paul Fieguth, Xilin Chen, Matti Pietikäinen

Because extreme scale variations are not necessarily present in most standard texture databases, to support the proposed extreme-scale aspects of texture understanding we are developing a new dataset, the Extreme Scale Variation Textures (ESVaT), to test the performance of our framework.

General Classification Texture Classification

From BoW to CNN: Two Decades of Texture Representation for Texture Classification

no code implementations31 Jan 2018 Li Liu, Jie Chen, Paul Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikainen

Texture is a fundamental characteristic of many types of images, and texture representation is one of the essential and challenging problems in computer vision and pattern recognition which has attracted extensive research attention.

General Classification Texture Classification

Quantifying Facial Age by Posterior of Age Comparisons

1 code implementation31 Aug 2017 Yunxuan Zhang, Li Liu, Cheng Li, Chen Change Loy

We introduce a novel approach for annotating large quantity of in-the-wild facial images with high-quality posterior age distribution as labels.

Ranked #4 on Age Estimation on MORPH Album2 (using extra training data)

Age And Gender Classification Age Estimation

Towards Automatic Construction of Diverse, High-quality Image Dataset

no code implementations22 Aug 2017 Yazhou Yao, Jian Zhang, Fumin Shen, Li Liu, Fan Zhu, Dongxiang Zhang, Heng-Tao Shen

To eliminate manual annotation, in this work, we propose a novel image dataset construction framework by employing multiple textual queries.

Image Classification Object Detection

Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval

no code implementations ICCV 2017 Yuming Shen, Li Liu, Ling Shao, Jingkuan Song

Cross-modal hashing is usually regarded as an effective technique for large-scale textual-visual cross retrieval, where data from different modalities are mapped into a shared Hamming space for matching.

Cross-Modal Retrieval

Discretely Coding Semantic Rank Orders for Supervised Image Hashing

no code implementations CVPR 2017 Li Liu, Ling Shao, Fumin Shen, Mengyang Yu

Learning to hash has been recognized to accomplish highly efficient storage and retrieval for large-scale visual data.

Word Embeddings

Binary Coding for Partial Action Analysis With Limited Observation Ratios

no code implementations CVPR 2017 Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang

Extensive experiments on four realistic action datasets in terms of three tasks (i. e., partial action retrieval, recognition and prediction) clearly show the superiority of PRBC over the state-of-the-art methods, along with significantly reduced memory load and computational costs during the online test.

Action Analysis Action Recognition +1

Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation

no code implementations CVPR 2017 Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao

Numerous methods have been proposed for person re-identification, most of which however neglect the matching efficiency.

Person Re-Identification

From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis

no code implementations CVPR 2017 Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han

Using the proposed Unseen Visual Data Synthesis (UVDS) algorithm, semantic attributes are effectively utilised as an intermediate clue to synthesise unseen visual features at the training stage.

General Classification Object Recognition +1

Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval

1 code implementation CVPR 2017 Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao

Free-hand sketch-based image retrieval (SBIR) is a specific cross-view retrieval task, in which queries are abstract and ambiguous sketches while the retrieval database is formed with natural images.

Sketch-Based Image Retrieval

An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition

no code implementations4 Jan 2017 Li Liu, Yongzhong Yang, Lakshmi Narasimhan Govindarajan, Shu Wang, Bin Hu, Li Cheng, David S. Rosenblum

We propose in this paper an atomic action-based Bayesian model that constructs Allen's interval relation networks to characterize complex activities with structural varieties in a probabilistic generative way: By introducing latent variables from the Chinese restaurant process, our approach is able to capture all possible styles of a particular complex activity as a unique set of distributions over atomic actions and relations.

Activity Recognition

DAVE: A Unified Framework for Fast Vehicle Detection and Annotation

no code implementations15 Jul 2016 Yi Zhou, Li Liu, Ling Shao, Matt Mellor

Vehicle detection and annotation for streaming video data with complex scenes is an interesting but challenging task for urban traffic surveillance.

Fast Vehicle Detection

Extraction automatique de contour de l\`evre \`a partir du mod\`ele CLNF (Automatic lip contour extraction using CLNF model)

no code implementations JEPTALNRECITAL 2016 Li Liu, Gang Feng, Denis Beautemps

Dans cet article nous proposons une nouvelle solution pour extraire le contour interne des l{\`e}vres d{'}un locuteur sans utiliser d{'}artifices.

DAP3D-Net: Where, What and How Actions Occur in Videos?

no code implementations10 Feb 2016 Li Liu, Yi Zhou, Ling Shao

Action parsing in videos with complex scenes is an interesting but challenging task in computer vision.

Action Localization Action Parsing +2

Projection Bank: From High-dimensional Data to Medium-length Binary Codes

no code implementations ICCV 2015 Li Liu, Mengyang Yu, Ling Shao

Recently, very high-dimensional feature representations, e. g., Fisher Vector, have achieved excellent performance for visual recognition and retrieval.

Kernelized Multiview Projection

no code implementations3 Aug 2015 Mengyang Yu, Li Liu, Ling Shao

Conventional vision algorithms adopt a single type of feature or a simple concatenation of multiple features, which is always represented in a high-dimensional space.

Distributed Data Association in Smart Camera Networks via Dual Decomposition

no code implementations20 Jan 2015 Jiuqing Wan, Yuting Nie, Li Liu

One of the fundamental requirements for visual surveillance using smart camera networks is the correct association of each persons observations generated on different cameras.

Near-linear constructions of exact unitary 2-designs

1 code implementation19 Jan 2015 Richard Cleve, Debbie Leung, Li Liu, Chunhao Wang

A unitary 2-design can be viewed as a quantum analogue of a 2-universal hash function: it is indistinguishable from a truly random unitary by any procedure that queries it twice.

Quantum Physics

Distributed Bayesian inference for consistent labeling of tracked objects in non-overlapping camera networks

no code implementations5 Jun 2013 Jiuqing Wan, Li Liu

In this paper, we formulate this task as a Bayesian inference problem and propose a distributed inference framework in which the posterior distribution of labeling variable corresponding to each observation, conditioned on all history appearance and spatio-temporal evidence made in the whole networks, is calculated based solely on local information processing on each camera and mutual information exchanging between neighboring cameras.

Bayesian Inference

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