Search Results for author: Wei Zhou

Found 73 papers, 27 papers with code

Intra-class Feature Variation Distillation for Semantic Segmentation

1 code implementation ECCV 2020 Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu

In this paper, different from previous methods performing knowledge distillation for densely pairwise relations, we propose a novel intra-class feature variation distillation (IFVD) to transfer the intra-class feature variation (IFV) of the cumbersome model (teacher) to the compact model (student).

Knowledge Distillation Semantic Segmentation

On Language Model Integration for RNN Transducer based Speech Recognition

no code implementations13 Oct 2021 Wei Zhou, Zuoyun Zheng, Ralf Schlüter, Hermann Ney

In this work, we study various ILM correction-based LM integration methods formulated in a common RNN-T framework.

Language Modelling Speech Recognition

GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation

no code implementations18 Aug 2021 Xuming Lin, Shaobo Cui, Zhongzhou Zhao, Wei Zhou, Ji Zhang, Haiqing Chen

With these two synergic representations, we then regroup these phrases into a fine-grained plan, based on which we generate the final long text.

Story Generation

SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts

no code implementations17 Aug 2021 Shaobo Cui, Xintong Bao, Xuming Lin, Zhongzhou Zhao, Ji Zhang, Wei Zhou, Haiqing Chen

Each one-to-one mapping is associated with a conditional generation pattern and is modeled with an expert in SPMoE.

Paraphrase Generation

Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text

no code implementations1 Aug 2021 Binlong Zhang, Wei Zhou

Chinese sentiment analysis (CSA) has always been one of the challenges in natural language processing due to its complexity and uncertainty.

Chinese Sentiment Analysis Sentence segmentation +1

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net)

1 code implementation28 Jul 2021 Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao

Then we present a supervised segmentation and unsupervised reconstruction networks to learn the characteristics of 3D point clouds.

Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds

no code implementations28 Jul 2021 Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He

Extensive experiments on benchmark datasets such as ShapeNet Part, S3DIS and KITTI for various tasks show that MPVConv improves the accuracy of the backbone (PointNet) by up to \textbf{36\%}, and achieves higher accuracy than the voxel-based model with up to \textbf{34}$\times$ speedups.

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection

1 code implementation ACL 2021 Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue, Songlin Hu

Detecting rumors on social media is a very critical task with significant implications to the economy, public health, etc.

A Fixed Version of Quadratic Program in Gradient Episodic Memory

no code implementations7 Jul 2021 Wei Zhou, Yiying Li

Gradient Episodic Memory is indeed a novel method for continual learning, which solves new problems quickly without forgetting previously acquired knowledge.

Continual Learning

PEN4Rec: Preference Evolution Networks for Session-based Recommendation

1 code implementation17 Jun 2021 Dou Hu, Lingwei Wei, Wei Zhou, Xiaoyong Huai, Zhiqi Fang, Songlin Hu

The process can strengthen the effect of relevant sequential behaviors during the preference evolution and weaken the disturbance from preference drifting.

Session-Based Recommendations

Challenging distributional models with a conceptual network of philosophical terms

no code implementations NAACL 2021 Yvette Oortwijn, Jelke Bloem, Pia Sommerauer, Francois Meyer, Wei Zhou, Antske Fokkens

We investigate the possibilities and limitations of using distributional semantic models for analyzing philosophical data by means of a realistic use-case.

Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness

1 code implementation15 May 2021 Wei Zhou, Zhou Wang, Zhibo Chen

In this paper, we assess the quality of SISR generated images in a two-dimensional (2D) space of structural fidelity versus statistical naturalness.

Image Quality Assessment Image Super-Resolution

SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media

no code implementations10 May 2021 Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu

The rapid development of social media changes the lifestyle of people and simultaneously provides an ideal place for publishing and disseminating rumors, which severely exacerbates social panic and triggers a crisis of social trust.

Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning

no code implementations30 Apr 2021 Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He

Extensive experiments on benchmark datasets such as ShapeNet Part, S3DIS and KITTI for various tasks show that MVPConv improves the accuracy of the backbone (PointNet) by up to 36%, and achieves higher accuracy than the voxel-based model with up to 34 times speedup.

Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition

no code implementations19 Apr 2021 Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney

Subword units are commonly used for end-to-end automatic speech recognition (ASR), while a fully acoustic-oriented subword modeling approach is somewhat missing.

automatic-speech-recognition End-To-End Speech Recognition +2

The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech

no code implementations17 Apr 2021 Yu Qiao, Wei Zhou, Elma Kerz, Ralf Schlüter

In recent years, automated approaches to assessing linguistic complexity in second language (L2) writing have made significant progress in gauging learner performance, predicting human ratings of the quality of learner productions, and benchmarking L2 development.

Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept

no code implementations13 Apr 2021 Wei Zhou, Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney

With the advent of direct models in automatic speech recognition (ASR), the formerly prevalent frame-wise acoustic modeling based on hidden Markov models (HMM) diversified into a number of modeling architectures like encoder-decoder attention models, transducer models and segmental models (direct HMM).

automatic-speech-recognition Speech Recognition

Bayesian Graph Convolutional Network for Traffic Prediction

no code implementations1 Apr 2021 Jun Fu, Wei Zhou, Zhibo Chen

Under this framework, the graph structure is viewed as a random realization from a parametric generative model, and its posterior is inferred using the observed topology of the road network and traffic data.

Traffic Prediction

No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness

no code implementations22 Feb 2021 Wei Zhou, Jiahua Xu, Qiuping Jiang, Zhibo Chen

To our knowledge, the proposed model is the first no-reference quality assessment method for 360-degreee images that combines multi-frequency information and image naturalness.

Image Quality Assessment Virtual Reality

FedH2L: Federated Learning with Model and Statistical Heterogeneity

no code implementations27 Jan 2021 Yiying Li, Wei Zhou, Huaimin Wang, Haibo Mi, Timothy M. Hospedales

Federated learning (FL) enables distributed participants to collectively learn a strong global model without sacrificing their individual data privacy.

Federated Learning

Improving robustness of softmax corss-entropy loss via inference information

no code implementations1 Jan 2021 Bingbing Song, wei he, Renyang Liu, Shui Yu, Ruxin Wang, Mingming Gong, Tongliang Liu, Wei Zhou

Several state-of-the-arts start from improving the inter-class separability of training samples by modifying loss functions, where we argue that the adversarial samples are ignored and thus limited robustness to adversarial attacks is resulted.

SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods

1 code implementation1 Dec 2020 Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao

Finally, we combine the SRG algorithm with our improved CNN using a refinement method called SRG-Net to conduct the segmentation tasks on the terracotta warriors.

Deep Multi-Scale Features Learning for Distorted Image Quality Assessment

no code implementations1 Dec 2020 Wei Zhou, Zhibo Chen

In this paper, motivated by the human visual system (HVS) combining multi-scale features for perception, we propose to use pyramid features learning to build a DNN with hierarchical multi-scale features for distorted image quality prediction.

Image Quality Assessment

Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition

no code implementations30 Oct 2020 Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney

To join the advantages of classical and end-to-end approaches for speech recognition, we present a simple, novel and competitive approach for phoneme-based neural transducer modeling.

Language Modelling Large Vocabulary Continuous Speech Recognition +1

Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting

no code implementations15 Oct 2020 Jun Fu, Wei Zhou, Zhibo Chen

The graph structure in our network is learned from the physical topology of the road network and traffic data in an end-to-end manner, which discovers a more accurate description of the relationship among traffic flows.

Traffic Prediction

Affinity Space Adaptation for Semantic Segmentation Across Domains

1 code implementation26 Sep 2020 Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu

Specifically, we perform domain adaptation on the affinity relationship between adjacent pixels termed affinity space of source and target domain.

Semantic Segmentation Unsupervised Domain Adaptation

Residual Spatial Attention Network for Retinal Vessel Segmentation

1 code implementation18 Sep 2020 Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou, Haodong Bian

In this work, we propose the Residual Spatial Attention Network (RSAN) for retinal vessel segmentation.

Retinal Vessel Segmentation

Empirical Fourier Decomposition: An Accurate Adaptive Signal Decomposition Method

no code implementations17 Sep 2020 Wei Zhou, Zhongren Feng, Y. F. Xu, Xiongjiang Wang, Hao Lv

An accurate adaptive signal decomposition method, called the empirical Fourier decomposition (EFD), is proposed to solve the problems in this work.

LIRA: Lifelong Image Restoration from Unknown Blended Distortions

no code implementations ECCV 2020 Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen

Most existing image restoration networks are designed in a disposable way and catastrophically forget previously learned distortions when trained on a new distortion removal task.

Image Restoration SSIM

Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery

no code implementations10 Aug 2020 Junlin Li, Wei Zhou, Cheng Cheng

For example, sparse Bayesian learning (SBL) was proposed to learn major features from a dictionary of basis functions, which makes identified models interpretable.

Feature Selection Sparse Learning

Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration

no code implementations ECCV 2020 Xin Li, Xin Jin, Jianxin Lin, Tao Yu, Sen Liu, Yaojun Wu, Wei Zhou, Zhibo Chen

Hybrid-distorted image restoration (HD-IR) is dedicated to restore real distorted image that is degraded by multiple distortions.

Image Restoration

Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis

1 code implementation16 Jul 2020 Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu

Furthermore, we design a Sentiment-based Rethinking mechanism (SR) by refining the HIN with sentiment label information to learn a more sentiment-aware document representation.

Document-level Sentiment Analysis +1

Rethinking Distributional Matching Based Domain Adaptation

no code implementations23 Jun 2020 Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer

In this paper, in order to devise robust DA algorithms, we first systematically analyze the limitations of DM based methods, and then build new benchmarks with more realistic domain shifts to evaluate the well-accepted DM methods.

Domain Adaptation

DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction

no code implementations9 Jun 2020 Chunyuan Yuan, Jiacheng Li, Wei Zhou, Yijun Lu, Xiaodan Zhang, Songlin Hu

For one thing, previous works cannot jointly utilize both the social network and diffusion graph for prediction, which is insufficient to model the complexity of the diffusion process and results in unsatisfactory prediction performance.

Misinformation

AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization

1 code implementation25 May 2020 Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Yijun Lu, Songlin Hu

In this paper, a novel integration method called AutoSUM is proposed for automatic feature extraction and multi-user preference simulation to overcome the drawbacks of previous methods.

Feature Selection Word Embeddings

A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models

1 code implementation19 May 2020 Mohammad Zeineldeen, Albert Zeyer, Wei Zhou, Thomas Ng, Ralf Schlüter, Hermann Ney

Following the rationale of end-to-end modeling, CTC, RNN-T or encoder-decoder-attention models for automatic speech recognition (ASR) use graphemes or grapheme-based subword units based on e. g. byte-pair encoding (BPE).

automatic-speech-recognition End-To-End Speech Recognition +1

Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks

no code implementations13 Apr 2020 Wei Zhou, Qiuping Jiang, Yuwang Wang, Zhibo Chen, Weiping Li

Numerous image superresolution (SR) algorithms have been proposed for reconstructing high-resolution (HR) images from input images with lower spatial resolutions.

Image Quality Assessment

Channel Attention Residual U-Net for Retinal Vessel Segmentation

1 code implementation7 Apr 2020 Changlu Guo, Márton Szemenyei, Yangtao Hu, Wenle Wang, Wei Zhou, Yugen Yi

Retinal vessel segmentation is a vital step for the diagnosis of many early eye-related diseases.

Retinal Vessel Segmentation

The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment

no code implementations2 Apr 2020 Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney

We present a complete training pipeline to build a state-of-the-art hybrid HMM-based ASR system on the 2nd release of the TED-LIUM corpus.

Data Augmentation

Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification

1 code implementation9 Nov 2019 Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu

Based on the two types of relations, we use a graph convolutional network to learn the deep correlations between styles automatically.

General Classification

Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots

1 code implementation IJCNLP 2019 Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu

Existing works mainly focus on matching candidate responses with every context utterance on multiple levels of granularity, which ignore the side effect of using excessive context information.

Conversational Response Selection

ALOHA: Artificial Learning of Human Attributes for Dialogue Agents

1 code implementation18 Oct 2019 Aaron W. Li, Veronica Jiang, Steven Y. Feng, Julia Sprague, Wei Zhou, Jesse Hoey

We propose Human Level Attributes (HLAs) based on tropes as the basis of a method for learning dialogue agents that can imitate the personalities of fictional characters.

Community Detection Language Modelling

Feature Fusion Detector for Semantic Cognition of Remote Sensing

no code implementations28 Sep 2019 Wei Zhou, Yiying Li

Based on experiments on the remote sensing dataset from Google Earth, our LFFN has proved effective and practical for the semantic cognition of remote sensing, achieving 89% mAP which is 4. 1% higher than that of FPN.

Learning review representations from user and product level information for spam detection

no code implementations10 Sep 2019 Chunyuan Yuan, Wei Zhou, Qianwen Ma, Shangwen Lv, Jizhong Han, Songlin Hu

Then, we use orthogonal decomposition and fusion attention to learn a user, review, and product representation from the review information.

Jointly embedding the local and global relations of heterogeneous graph for rumor detection

1 code implementation10 Sep 2019 Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu

The development of social media has revolutionized the way people communicate, share information and make decisions, but it also provides an ideal platform for publishing and spreading rumors.

Tensor Oriented No-Reference Light Field Image Quality Assessment

no code implementations5 Sep 2019 Wei Zhou, Likun Shi, Zhibo Chen

Light field image (LFI) quality assessment is becoming more and more important, which helps to better guide the acquisition, processing and application of immersive media.

Image Quality Assessment

Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement

1 code implementation4 Sep 2019 Jiahua Xu, Wei Zhou, Zhibo Chen, Suiyi Ling, Patrick Le Callet

Stereoscopic image quality measurement (SIQM) has become increasingly important for guiding stereo image processing and commutation systems due to the widespread usage of 3D contents.

Multimedia Image and Video Processing

No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement

no code implementations17 Aug 2019 Likun Shi, Wei Zhou, Zhibo Chen

In this paper, we propose a No-Reference Light Field image Quality Assessment (NR-LFQA) scheme, where the main idea is to quantify the LFI quality degradation through evaluating the spatial quality and angular consistency.

Image Quality Assessment

An Intelligent Testing Strategy for Vocabulary Assessment of Chinese Second Language Learners

no code implementations WS 2019 Wei Zhou, Renfen Hu, Feipeng Sun, Ronghuai Huang

In this paper, we propose a novel testing strategy by combining automatic item generation (AIG) and computerized adaptive testing (CAT) in vocabulary assessment for Chinese L2 learners.

LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring

no code implementations1 Jul 2019 Eugen Beck, Wei Zhou, Ralf Schlüter, Hermann Ney

LSTM based language models are an important part of modern LVCSR systems as they significantly improve performance over traditional backoff language models.

Large Vocabulary Continuous Speech Recognition

Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory

no code implementations12 Jun 2019 Zhibo Chen, Jiahua Xu, Chaoyi Lin, Wei Zhou

In this paper, based on the predictive coding theory of the human vision system (HVS), we propose a stereoscopic omnidirectional image quality evaluator (SOIQE) to cope with the characteristics of 3D 360-degree images.

Image Quality Assessment

Spectral Perturbation Meets Incomplete Multi-view Data

no code implementations31 May 2019 Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou

In this work, we show a strong link between perturbation risk bounds and incomplete multi-view clustering.

Incomplete multi-view clustering Matrix Completion

ESA: Entity Summarization with Attention

2 code implementations25 May 2019 Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Jizhong Han, Songlin Hu

Entity summarization aims at creating brief but informative descriptions of entities from knowledge graphs.

Knowledge Graphs

Review-Driven Answer Generation for Product-Related Questions in E-Commerce

1 code implementation27 Apr 2019 Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen

Then, we devise a mechanism to identify the relevant information from the noise-prone review snippets and incorporate this information to guide the answer generation.

Feature-Critic Networks for Heterogeneous Domain Generalization

2 code implementations31 Jan 2019 Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales

The well known domain shift issue causes model performance to degrade when deployed to a new target domain with different statistics to training.

Domain Generalization

Hierarchical Reinforcement Learning for Multi-agent MOBA Game

no code implementations23 Jan 2019 Zhijian Zhang, Haozheng Li, Luo Zhang, Tianyin Zheng, Ting Zhang, Xiong Hao, Xiaoxin Chen, Min Chen, Fangxu Xiao, Wei Zhou

Real Time Strategy (RTS) games require macro strategies as well as micro strategies to obtain satisfactory performance since it has large state space, action space, and hidden information.

Hierarchical Reinforcement Learning Imitation Learning

TextField: Learning A Deep Direction Field for Irregular Scene Text Detection

1 code implementation4 Dec 2018 Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai

Experimental results show that the proposed TextField outperforms the state-of-the-art methods by a large margin (28% and 8%) on two curved text datasets: Total-Text and CTW1500, respectively, and also achieves very competitive performance on multi-oriented datasets: ICDAR 2015 and MSRA-TD500.

Scene Text Scene Text Detection

Unsupervised Single Image Deraining with Self-supervised Constraints

no code implementations21 Nov 2018 Xin Jin, Zhibo Chen, Jianxin Lin, Zhikai Chen, Wei Zhou

Most existing single image deraining methods require learning supervised models from a large set of paired synthetic training data, which limits their generality, scalability and practicality in real-world multimedia applications.

Single Image Deraining

Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving

no code implementations24 Oct 2018 Wei Zhou, Julie Stephany Berrio, Stewart Worrall, Eduardo Nebot

This paper presents a novel method for analysing the robustness of semantic segmentation models and provides a number of metrics to evaluate the classification performance over a variety of environmental conditions.

Autonomous Driving General Classification +1

Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective

no code implementations13 Sep 2018 Wei Zhou, Alex Zyner, Stewart Worrall, Eduardo Nebot

Semantic segmentation using deep neural networks has been widely explored to generate high-level contextual information for autonomous vehicles.

Autonomous Vehicles Data Augmentation +1

A Deep Relevance Model for Zero-Shot Document Filtering

1 code implementation ACL 2018 Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen

In the era of big data, focused analysis for diverse topics with a short response time becomes an urgent demand.

Sentiment Analysis Text Classification +1

Histograms of Gaussian normal distribution for feature matching in clutter scenes

no code implementations19 Jun 2017 Wei Zhou, Caiwen Ma, Arjan Kuijper

Especially in cluttered scenes there are many feature mismatches between scenes and models.

CFAR Line Detector for Polarimetric SAR Images Using Wilks’ Test Statistic

no code implementations1 May 2016 Ruijin Jin, Wei Zhou, Junjun Yin, and Jian Yang

In this letter, a constant false-alarm rate line detector for polarimetric synthetic aperture radar (Pol-SAR) images is presented based on Wilks’ test statistic, which can be used to test the equality of two covariance matrices following the complex Wishart distribution.

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