Search Results for author: Ying Chen

Found 100 papers, 37 papers with code

Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction

no code implementations29 Feb 2024 Hao Li, Ying Chen, Yifei Chen, Wenxian Yang, Bowen Ding, Yuchen Han, Liansheng Wang, Rongshan Yu

It is designed to enhance the model's generalizability by leveraging the interplay between localized visual patterns and fine-grained pathological semantics.

Image Classification Language Modelling +3

Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain

no code implementations27 Feb 2024 Qunliang Xing, Mai Xu, Shengxi Li, Xin Deng, Meisong Zheng, Huaida Liu, Ying Chen

However, these methods exhibit a pervasive enhancement bias towards the compression domain, inadvertently regarding it as more realistic than the raw domain.

Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt

1 code implementation2 Jan 2024 Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong liu, Jinbao Wang, Chengjie Wang, Feng Zheng

Unsupervised Anomaly Detection (UAD) with incremental training is crucial in industrial manufacturing, as unpredictable defects make obtaining sufficient labeled data infeasible.

continual anomaly detection Continual Learning +2

MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images

no code implementations20 Dec 2023 Libo Wang, Sijun Dong, Ying Chen, Xiaoliang Meng, Shenghui Fang

Semantic segmentation of remote sensing images plays a vital role in a wide range of Earth Observation (EO) applications, such as land use land cover mapping, environment monitoring, and sustainable development.

Representation Learning Segmentation +1

Decoupled Knowledge with Ensemble Learning for Online Distillation

1 code implementation18 Dec 2023 Baitan Shao, Ying Chen

To obtain early decoupled knowledge, an initialization scheme for the teacher is devised, and a 2D geometry-based analysis experiment is conducted under ideal conditions to showcase the effectiveness of this scheme.

Ensemble Learning Knowledge Distillation

CrackCLF: Automatic Pavement Crack Detection based on Closed-Loop Feedback

no code implementations20 Nov 2023 Chong Li, Zhun Fan, Ying Chen, Huibiao Lin, Laura Moretti, Giuseppe Loprencipe, Weihua Sheng, Kelvin C. P. Wang

Meanwhile, these models can not automatically correct errors in the prediction, nor can it adapt to the changes of the environment to automatically extract and detect thin cracks.

Self-similarity Prior Distillation for Unsupervised Remote Physiological Measurement

no code implementations9 Nov 2023 Xinyu Zhang, Weiyu Sun, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen

In this paper, we propose a Self-Similarity Prior Distillation (SSPD) framework for unsupervised rPPG estimation, which capitalizes on the intrinsic self-similarity of cardiac activities.

Contrastive Learning

Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer

no code implementations21 Oct 2023 Junwei You, Ying Chen, Zhuoyu Jiang, Zhangchi Liu, Zilin Huang, Yifeng Ding, Bin Ran

Effective classification of autonomous vehicle (AV) driving behavior emerges as a critical area for diagnosing AV operation faults, enhancing autonomous driving algorithms, and reducing accident rates.

Autonomous Driving

Neural Dysfunction Underlying Working Memory Processing at Different Stages of the Illness Course in Schizophrenia:A Comparative Meta-analysis

no code implementations13 Oct 2023 Yuhao Yao, Shufang Zhang, Boyao Wang, Gaofeng Zhao, Hong Deng, Ying Chen

Schizophrenia (SCZ), as a chronic and persistent disorder, exhibits working memory deficits across various stages of the disorder, yet the neural mechanisms underlying these deficits remain elusive with inconsistent neuroimaging findings.

Multi-step prediction of chlorophyll concentration based on Adaptive Graph-Temporal Convolutional Network with Series Decomposition

no code implementations13 Sep 2023 Ying Chen, Xiao Li, Hongbo Zhang, Wenyang Song, Chongxuan Xv

The adaptive graph convolution learns the relationship between different water quality parameters, updates the state information of each parameter, and improves the learning ability of the update relationship between nodes.

Decision Making

Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects

no code implementations7 Sep 2023 Zhengyang Lu, Ying Chen

In this work, we construct a joint inter-frame-supervised depth and optical flow estimation framework, which predicts depths in various motions by minimizing pixel wrap errors in bilateral photometric re-projections and optical vectors.

Depth Estimation Motion Segmentation +1

Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance

no code implementations13 May 2023 Lingfeng Shen, Haiyun Jiang, Lemao Liu, Ying Chen

Static word embedding is still useful, particularly for context-unavailable tasks, because in the case of no context available, pre-trained language models often perform worse than static word embeddings.

Word Embeddings

FusionDepth: Complement Self-Supervised Monocular Depth Estimation with Cost Volume

no code implementations10 May 2023 Zhuofei Huang, Jianlin Liu, Shang Xu, Ying Chen, Yong liu

Multi-view stereo depth estimation based on cost volume usually works better than self-supervised monocular depth estimation except for moving objects and low-textured surfaces.

Monocular Depth Estimation Stereo Depth Estimation

On Fast-Converged Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security Constraints

1 code implementation17 Apr 2023 Tannan Xiao, Ying Chen, Han Diao, Shaowei Huang, Chen Shen

The effectiveness, efficiency, and accuracy of the proposed method are demonstrated through experiments in the IEEE 39-bus system and a practical 710-bus regional power grid.

Decision Making

EWT: Efficient Wavelet-Transformer for Single Image Denoising

no code implementations13 Apr 2023 Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Tieyong Zeng

Transformer-based image denoising methods have achieved encouraging results in the past year.

Image Denoising

MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos

1 code implementation CVPR 2023 ZiCheng Zhang, Wei Wu, Wei Sun, Dangyang Tu, Wei Lu, Xiongkuo Min, Ying Chen, Guangtao Zhai

User-generated content (UGC) live videos are often bothered by various distortions during capture procedures and thus exhibit diverse visual qualities.

Video Quality Assessment Visual Question Answering (VQA)

AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty Minimization

1 code implementation11 Jan 2023 Ying Chen, Hazer Inaltekin, Maria Gorlatova

Edge computing is increasingly proposed as a solution for reducing resource consumption of mobile devices running simultaneous localization and mapping (SLAM) algorithms, with most edge-assisted SLAM systems assuming the communication resources between the mobile device and the edge server to be unlimited, or relying on heuristics to choose the information to be transmitted to the edge.

Edge-computing Simultaneous Localization and Mapping

Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation

no code implementations30 Nov 2022 Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu

Differing from homogeneous graph, DA in heterogeneous graph has greater challenges: heterogeneity of information requires DA strategies to effectively handle heterogeneous relations, which considers the information contribution of different types of neighbors and edges to the target nodes.

Data Augmentation Graph Learning

A Dynamic Equivalent Method for PMSG-WTG Based Wind Farms Considering wind Speeds and Fault Severities

no code implementations23 Nov 2022 Dongsheng Li, Chen Shen, Ye Liu, Ying Chen, Shaowei Huang

In order to reduce the complexity of simulation of power systems including large-scale wind farms, it is critical to develop dynamic equivalent methods for wind farms which are applicable to the expected contingency analysis.


Lightweight network towards real-time image denoising on mobile devices

no code implementations9 Nov 2022 Zhuoqun Liu, Meiguang Jin, Ying Chen, Huaida Liu, Canqian Yang, Hongkai Xiong

In this paper, we identify the real bottlenecks that affect the CNN-based models' run-time performance on mobile devices: memory access cost and NPU-incompatible operations, and build the model based on these.

Image Denoising

Probability-Dependent Gradient Decay in Large Margin Softmax

no code implementations31 Oct 2022 Siyuan Zhang, Linbo Xie, Ying Chen

Based on the analysis results, we can provide evidence that the large margin Softmax will affect the local Lipschitz constraint of the loss function by regulating the probability-dependent gradient decay rate.

Rediscovery of Numerical Lüscher's Formula from the Neural Network

no code implementations5 Oct 2022 Yu Lu, Yi-Jia Wang, Ying Chen, Jia-Jun Wu

We present that by predicting the spectrum in discrete space from the phase shift in continuous space, the neural network can remarkably reproduce the numerical L\"uscher's formula to a high precision.

Rethinking Dimensionality Reduction in Grid-based 3D Object Detection

no code implementations20 Sep 2022 Dihe Huang, Ying Chen, Yikang Ding, Jinli Liao, Jianlin Liu, Kai Wu, Qiang Nie, Yong liu, Chengjie Wang, Zhiheng Li

In MDRNet, the Spatial-aware Dimensionality Reduction (SDR) is designed to dynamically focus on the valuable parts of the object during voxel-to-BEV feature transformation.

3D Object Detection Cloud Detection +3

Evaluating Point Cloud from Moving Camera Videos: A No-Reference Metric

1 code implementation30 Aug 2022 ZiCheng Zhang, Wei Sun, Yucheng Zhu, Xiongkuo Min, Wei Wu, Ying Chen, Guangtao Zhai

To tackle the challenge of point cloud quality assessment (PCQA), many PCQA methods have been proposed to evaluate the visual quality levels of point clouds by assessing the rendered static 2D projections.

Image Quality Assessment Point Cloud Quality Assessment +2

An Interpretability Evaluation Benchmark for Pre-trained Language Models

no code implementations28 Jul 2022 Yaozong Shen, Lijie Wang, Ying Chen, Xinyan Xiao, Jing Liu, Hua Wu

To fill in the gap, we propose a novel evaluation benchmark providing with both English and Chinese annotated data.

Adaptive Assignment for Geometry Aware Local Feature Matching

1 code implementation CVPR 2023 Dihe Huang, Ying Chen, Shang Xu, Yong liu, Wenlong Wu, Yikang Ding, Chengjie Wang, Fan Tang

The detector-free feature matching approaches are currently attracting great attention thanks to their excellent performance.

Feature Correlation

SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement

1 code implementation18 Jul 2022 Canqian Yang, Meiguang Jin, Yi Xu, Rui Zhang, Ying Chen, Huaida Liu

Image-adaptive lookup tables (LUTs) have achieved great success in real-time image enhancement tasks due to their high efficiency for modeling color transforms.

Computational Efficiency Image Enhancement +1

Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting

1 code implementation14 Jul 2022 Ying Chen, Liang Qiao, Zhanzhan Cheng, ShiLiang Pu, Yi Niu, Xi Li

In this paper, to address this problem, we propose a novel cost-efficient Dynamic Low-resolution Distillation (DLD) text spotting framework, which aims to infer images in different small but recognizable resolutions and achieve a better balance between accuracy and efficiency.

Knowledge Distillation Optical Character Recognition (OCR) +1

DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding

1 code implementation14 Jul 2022 Liang Qiao, Hui Jiang, Ying Chen, Can Li, Pengfei Li, Zaisheng Li, Baorui Zou, Dashan Guo, Yingda Xu, Yunlu Xu, Zhanzhan Cheng, Yi Niu

Compared with the previous opensource OCR toolbox, DavarOCR has relatively more complete support for the sub-tasks of the cutting-edge technology of document understanding.

document understanding Optical Character Recognition (OCR)

Snow Mask Guided Adaptive Residual Network for Image Snow Removal

no code implementations11 Jul 2022 Bodong Cheng, Juncheng Li, Ying Chen, Shuyi Zhang, Tieyong Zeng

Recently, some methods have been proposed for snow removing, and most methods deal with snow images directly as the optimization object.

Image Restoration object-detection +4

BYHE: A Simple Framework for Boosting End-to-end Video-based Heart Rate Measurement Network

no code implementations4 Jul 2022 Weiyu Sun, Xinyu Zhang, Ying Chen, Yun Ge, Chunyu Ji, Xiaolin Huang

Heart rate measuring based on remote photoplethysmography (rPPG) plays an important role in health caring, which estimates heart rate from facial video in a non-contact, less-constrained way.

Heart rate estimation

Perceptual Quality Assessment for Fine-Grained Compressed Images

no code implementations8 Jun 2022 ZiCheng Zhang, Wei Sun, Wei Wu, Ying Chen, Xiongkuo Min, Guangtao Zhai

Nowadays, the mainstream full-reference (FR) metrics are effective to predict the quality of compressed images at coarse-grained levels (the bit rates differences of compressed images are obvious), however, they may perform poorly for fine-grained compressed images whose bit rates differences are quite subtle.

Image Compression Image Quality Assessment

A Fine-grained Interpretability Evaluation Benchmark for Neural NLP

no code implementations23 May 2022 Lijie Wang, Yaozong Shen, Shuyuan Peng, Shuai Zhang, Xinyan Xiao, Hao liu, Hongxuan Tang, Ying Chen, Hua Wu, Haifeng Wang

Based on this benchmark, we conduct experiments on three typical models with three saliency methods, and unveil their strengths and weakness in terms of interpretability.

Reading Comprehension Sentiment Analysis

Spot-adaptive Knowledge Distillation

2 code implementations5 May 2022 Jie Song, Ying Chen, Jingwen Ye, Mingli Song

Knowledge distillation (KD) has become a well established paradigm for compressing deep neural networks.

Knowledge Distillation

AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement

1 code implementation CVPR 2022 Canqian Yang, Meiguang Jin, Xu Jia, Yi Xu, Ying Chen

They adopt a sub-optimal uniform sampling point allocation, limiting the expressiveness of the learned LUTs since the (tri-)linear interpolation between uniform sampling points in the LUT transform might fail to model local non-linearities of the color transform.

Image Enhancement Photo Retouching

Progressive Training of A Two-Stage Framework for Video Restoration

2 code implementations21 Apr 2022 Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen

As a widely studied task, video restoration aims to enhance the quality of the videos with multiple potential degradations, such as noises, blurs and compression artifacts.

Transfer Learning Video Restoration +2

Pyramid Frequency Network with Spatial Attention Residual Refinement Module for Monocular Depth Estimation

no code implementations5 Apr 2022 Zhengyang Lu, Ying Chen

In this work, a Pyramid Frequency Network(PFN) with Spatial Attention Residual Refinement Module(SARRM) is proposed to deal with the weak robustness of existing deep-learning methods.

Monocular Depth Estimation

An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development

no code implementations25 Mar 2022 Jin Yang, Yingying Huang, Guangxin Jiang, Ying Chen

In the first component, we introduce a theoretical function-preserving transformation of recurrent neural networks (RNN) to the literature for capturing the hidden temporal patterns within the time-series data.

Neural Architecture Search Reinforcement Learning (RL) +2

Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review

no code implementations21 Feb 2022 Weiqi Hua, Ying Chen, Meysam Qadrdan, Jing Jiang, Hongjian Sun, Jianzhong Wu

The blockchain and artificial intelligence (AI) are innovative technologies to fulfil these two factors, by which the blockchain provides decentralised trading platforms for energy markets and the AI supports the optimal operational control of power systems.

Decision Making

Guide Local Feature Matching by Overlap Estimation

1 code implementation18 Feb 2022 Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong liu

Local image feature matching under large appearance, viewpoint, and distance changes is challenging yet important.

Feature Correlation

Resource allocation algorithm for MEC based on Deep Reinforcement Learning

no code implementations IEEE 2022 Yijie Wang, Xin Chen, Ying Chen, Shougang Du

In recent years, driven by the commercialization of the 6th Generation Communication Technology (6G), an increasing number of 6G devices connected to mobile networks produces computation-intensive tasks such as ultra-high-resolution video streaming, inter-active visual reality (VR) gaming, augmented reality (AR).

Edge-computing reinforcement-learning

VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations

1 code implementation11 Jan 2022 Ying Chen, Hojung Kwon, Hazer Inaltekin, Maria Gorlatova

The importance of the dynamics of the viewport pose, i. e., the location and the orientation of users' points of view, for virtual reality (VR) experiences calls for the development of VR viewport pose models.

DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models

1 code implementation16 Dec 2021 Hongyu Zhu, Yan Chen, Jing Yan, Jing Liu, Yu Hong, Ying Chen, Hua Wu, Haifeng Wang

For this purpose, we create a Chinese dataset namely DuQM which contains natural questions with linguistic perturbations to evaluate the robustness of question matching models.

Natural Questions

Feasibility Study of Neural ODE and DAE Modules for Power System Dynamic Component Modeling

2 code implementations25 Oct 2021 Tannan Xiao, Ying Chen, Shaowei Huang, Tirui He, Huizhe Guan

In the context of high penetration of renewables, the need to build dynamic models of power system components based on accessible measurement data has become urgent.

Numerical Integration

Semi-supervised Domain Adaptation for Semantic Segmentation

no code implementations20 Oct 2021 Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam

We demonstrate that the proposed approach outperforms state-of-the-art methods on two common synthetic-to-real semantic segmentation benchmarks.

Data Augmentation Segmentation +3

Exploration of Artificial Intelligence-oriented Power System Dynamic Simulators

2 code implementations3 Oct 2021 Tannan Xiao, Ying Chen, Jianquan Wang, Shaowei Huang, Weilin Tong, Tirui He

With the rapid development of artificial intelligence (AI), it is foreseeable that the accuracy and efficiency of dynamic analysis for future power system will be greatly improved by the integration of dynamic simulators and AI.

Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism

1 code implementation30 Sep 2021 Xiaoqiang Zhang, Ying Chen, Guangyuan Li

In the past decade, sarcasm detection has been intensively conducted in a textual scenario.

Sarcasm Detection

DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation

no code implementations30 Aug 2021 Lijie Wang, Hao liu, Shuyuan Peng, Hongxuan Tang, Xinyan Xiao, Ying Chen, Hua Wu, Haifeng Wang

Therefore, in order to systematically evaluate the factors for building trustworthy systems, we propose a novel and well-annotated sentiment analysis dataset to evaluate robustness and interpretability.

Sentiment Analysis

Multi-granularity for knowledge distillation

1 code implementation15 Aug 2021 Baitan Shao, Ying Chen

Considering the fact that students have different abilities to understand the knowledge imparted by teachers, a multi-granularity distillation mechanism is proposed for transferring more understandable knowledge for student networks.

Knowledge Distillation Person Re-Identification

Tree-Like Decision Distillation

no code implementations CVPR 2021 Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, DaCheng Tao, Mingli Song

Knowledge distillation pursues a diminutive yet well-behaved student network by harnessing the knowledge learned by a cumbersome teacher model.

Decision Making Knowledge Distillation

Integrated Communication and Navigation for Ultra-Dense LEO Satellite Networks: Vision, Challenges and Solutions

no code implementations19 May 2021 Yu Wang, Hejia Luo, Ying Chen, Jun Wang, Rong Li, Bin Wang

Next generation beyond 5G networks are expected to provide both Terabits per second data rate communication services and centimeter-level accuracy localization services in an efficient, seamless and cost-effective manner.

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation

1 code implementation10 May 2021 Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song

Knowledge distillation (KD) has recently emerged as an efficacious scheme for learning compact deep neural networks (DNNs).

Knowledge Distillation Multi-class Classification

Spectral Machine Learning for Pancreatic Mass Imaging Classification

no code implementations3 May 2021 Yiming Liu, Ying Chen, Guangming Pan, Weichung Wang, Wei-Chih Liao, Yee Liang Thian, Cheng E. Chee, Constantinos P. Anastassiades

Factors that influenced high performance of a well-designed integration of spectral learning and machine learning included: 1) use of eigenvectors corresponding to several of the largest eigenvalues of sample covariance matrix (spike eigenvectors) to choose input attributes in classification training, taking into account only the fundamental information of the raw images with less noise; 2) removal of irrelevant pixels based on mean-level spectral test to lower the challenges of memory capacity and enhance computational efficiency while maintaining superior classification accuracy; 3) adoption of state-of-the-art machine learning classification, gradient boosting and random forest.

BIG-bench Machine Learning Classification +2

Refining Language Models with Compositional Explanations

1 code implementation NeurIPS 2021 Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren

However, such a regularization technique lacks flexibility and coverage, since only importance scores towards a pre-defined list of features are adjusted, while more complex human knowledge such as feature interaction and pattern generalization can hardly be incorporated.

Fairness Language Modelling +2

Deep Stochastic Volatility Model

1 code implementation25 Feb 2021 Xiuqin Xu, Ying Chen

We propose a deep stochastic volatility model (DSVM) based on the framework of deep latent variable models.

Variational Inference

The Variational Bayesian Inference for Network Autoregression Models

no code implementations18 Feb 2021 Wei-Ting Lai, Ray-Bing Chen, Ying Chen, Thorsten Koch

We develop a variational Bayesian (VB) approach for estimating large-scale dynamic network models in the network autoregression framework.

Bayesian Inference Computational Efficiency

Concentrated Document Topic Model

no code implementations6 Feb 2021 Hao Lei, Ying Chen

We propose a Concentrated Document Topic Model(CDTM) for unsupervised text classification, which is able to produce a concentrated and sparse document topic distribution.

text-classification Unsupervised Text Classification

Exclusive Topic Modeling

no code implementations6 Feb 2021 Hao Lei, Ying Chen

We propose an Exclusive Topic Modeling (ETM) for unsupervised text classification, which is able to 1) identify the field-specific keywords though less frequently appeared and 2) deliver well-structured topics with exclusive words.

text-classification Unsupervised Text Classification

Mask-based Data Augmentation for Semi-supervised Semantic Segmentation

no code implementations25 Jan 2021 Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam

Training a CNN to perform semantic segmentation requires a large amount of labeled data, where the production of such labeled data is both costly and labor intensive.

Data Augmentation Image Segmentation +2

Self-Born Wiring for Neural Trees

no code implementations ICCV 2021 Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song

Neural trees aim at integrating deep neural networks and decision trees so as to bring the best of the two worlds, including representation learning from the former and faster inference from the latter.

Representation Learning

MANGO: A Mask Attention Guided One-Stage Scene Text Spotter

1 code implementation8 Dec 2020 Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, ShiLiang Pu, Fei Wu

Recently end-to-end scene text spotting has become a popular research topic due to its advantages of global optimization and high maintainability in real applications.

Position Text Spotting

Domain Adaptation on Semantic Segmentation for Aerial Images

no code implementations3 Dec 2020 Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam

In this paper, we propose a novel unsupervised domain adaptation framework to address domain shift in the context of aerial semantic image segmentation.

Image Segmentation Segmentation +2

End-to-End Emotion-Cause Pair Extraction with Graph Convolutional Network

1 code implementation COLING 2020 Ying Chen, Wenjun Hou, Shoushan Li, Caicong Wu, Xiaoqiang Zhang

Emotion-cause pair extraction (ECPE), which aims at simultaneously extracting emotion-cause pairs that express emotions and their corresponding causes in a document, plays a vital role in understanding natural languages.

Emotion-Cause Pair Extraction

Cascade Attentive Dropout for Weakly Supervised Object Detection

no code implementations20 Nov 2020 Wenlong Gao, Ying Chen, Yong Peng

Weakly supervised object detection (WSOD) aims to classify and locate objects with only image-level supervision.

Multiple Instance Learning Object +2

Dense U-net for super-resolution with shuffle pooling layer

no code implementations11 Nov 2020 Zhengyang Lu, Ying Chen

By doing so, we effectively replace the handcrafted filter in the SISR pipeline with more lossy down-sampling filters specifically trained for each feature map, whilst also reducing the information loss of the overall SISR operation.

Image Super-Resolution SSIM

DEAL: Difficulty-aware Active Learning for Semantic Segmentation

1 code implementation17 Oct 2020 Shuai Xie, Zunlei Feng, Ying Chen, Songtao Sun, Chao Ma, Mingli Song

To deal with this problem, we propose a semantic Difficulty-awarE Active Learning (DEAL) network composed of two branches: the common segmentation branch and the semantic difficulty branch.

Active Learning Segmentation +1

Regularised Text Logistic Regression: Key Word Detection and Sentiment Classification for Online Reviews

no code implementations9 Sep 2020 Ying Chen, Peng Liu, Chung Piaw Teo

Moreover, RTL identifies a small set of word features, corresponding to 3% for Restaurant and 20% for Hotel, which boosts working efficiency by allowing managers to drill down into a much smaller set of important customer reviews.

Classification General Classification +3

Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression

1 code implementation3 Sep 2020 Xiuqin Xu, Ying Chen, Yannig Goude, Qiwei Yao

When applying to one day ahead forecasting for the French daily electricity load curves, PPC outperform several state-of-the-art predictive methods in terms of forecasting accuracy, coverage rate and average length of the predictive bands.

Methodology Applications

Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture

no code implementations1 Jul 2020 Zhun Fan, Chong Li, Ying Chen, Jiahong Wei, Giuseppe Loprencipe, Xiaopeng Chen, Paola Di Mascio

Finally, the hierarchical feature learning module is designed to obtain a multi-scale features from the high to low-level convolutional layers, which are integrated to predict pixel-wise crack detection.

object-detection Object Detection

DeepQTMT: A Deep Learning Approach for Fast QTMT-based CU Partition of Intra-mode VVC

1 code implementation23 Jun 2020 Tianyi Li, Mai Xu, Runzhi Tang, Ying Chen, Qunliang Xing

In VVC, the quad-tree plus multi-type tree (QTMT) structure of coding unit (CU) partition accounts for over 97% of the encoding time, due to the brute-force search for recursive rate-distortion (RD) optimization.

DO-Conv: Depthwise Over-parameterized Convolutional Layer

1 code implementation22 Jun 2020 Jinming Cao, Yangyan Li, Mingchao Sun, Ying Chen, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen, Changhe Tu

Moreover, in the inference phase, the depthwise convolution is folded into the conventional convolution, reducing the computation to be exactly equivalent to that of a convolutional layer without over-parameterization.

Image Classification

Two-stage short-term wind power forecasting algorithm using different feature-learning models

no code implementations31 May 2020 Jiancheng Qin, Jin Yang, Ying Chen, Qiang Ye, Hua Li

Considering the overfitting issue, we propose a new moving window-based algorithm using a validation set in the first stage to update the training data in both stages with two different moving window processes. Experiments were conducted at three wind farms, and the results demonstrate that the model with single input multiple output structure obtains better forecasting accuracy compared to existing models.

GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling

1 code implementation27 May 2020 Zhuoying Wang, Yongtao Wang, Zhi Tang, Yangyan Li, Ying Chen, Haibin Ling, Weisi Lin

Existing CNN-based methods for pixel labeling heavily depend on multi-scale features to meet the requirements of both semantic comprehension and detail preservation.

Pose Estimation Semantic Segmentation

Stochastic Sparse Subspace Clustering

no code implementations CVPR 2020 Ying Chen, Chun-Guang Li, Chong You

State-of-the-art subspace clustering methods are based on self-expressive model, which represents each data point as a linear combination of other data points.


Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement

no code implementations8 Feb 2020 Zhun Fan, Chong Li, Ying Chen, Paola Di Mascio, Xiaopeng Chen, Guijie Zhu, Giuseppe Loprencipe

In this paper, we propose an ensemble of convolutional neural networks (without a pooling layer) based on probability fusion for automated pavement crack detection and measurement.

MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion

no code implementations19 Jan 2020 Kaiyu Shan, Yongtao Wang, Zhuoying Wang, TingTing Liang, Zhi Tang, Ying Chen, Yangyan Li

To efficiently extract spatiotemporal features of video for action recognition, most state-of-the-art methods integrate 1D temporal convolution into a conventional 2D CNN backbone.

Action Recognition

MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?

1 code implementation16 Jan 2020 Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel

However, the binarization of weights and activations leads to feature maps of lower quality and lower capacity and thus a drop in accuracy compared to traditional networks.


Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data

no code implementations17 Dec 2019 Shibo Zhou, Ying Chen, Xiaohua LI, Arindam Sanyal

In this paper, we integrate spiking convolutional neural network (SCNN) with temporal coding into the YOLOv2 architecture for real-time object detection.

3D Object Detection object-detection +2

Portfolio liquidation under transient price impact -- theoretical solution and implementation with 100 NASDAQ stocks

no code implementations13 Dec 2019 Ying Chen, Ulrich Horst, Hoang Hai Tran

We derive an explicit solution for deterministic market impact parameters in the Graewe and Horst (2017) portfolio liquidation model.

Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss

no code implementations21 Nov 2019 Zhengyang Lu, Ying Chen

To solve this problem, the mixed gradient error, which is composed by MSE and a weighted mean gradient error, is proposed in this work and applied to a modified U-net network as the loss function.

Image Super-Resolution

CAUnLP at NLP4IF 2019 Shared Task: Context-Dependent BERT for Sentence-Level Propaganda Detection

no code implementations WS 2019 Wenjun Hou, Ying Chen

This paper presents the sys- tem of our participation in the sentence-level subtask of the propaganda detection shared task.

Propaganda detection Sentence

Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance

1 code implementation24 Sep 2019 Shibo Zhou, Xiaohua LI, Ying Chen, Sanjeev T. Chandrasekaran, Arindam Sanyal

Spiking neural network (SNN) is interesting both theoretically and practically because of its strong bio-inspiration nature and potentially outstanding energy efficiency.

Data Augmentation Object Recognition

Where does active travel fit within local community narratives of mobility space and place?

no code implementations7 May 2019 Alec Biehl, Ying Chen, Karla Sanabria-Veaz, David Uttal, Amanda Stathopoulos

The analysis uncovers the local mobility culture, embedded norms and values associated with acceptance of active travel modes in different communities.

Cultural Vocal Bursts Intensity Prediction Sentiment Analysis

Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint

no code implementations11 Jan 2019 Xinling Zhang, Xu Li, Ying Chen, Yixin Gan, Dexing Kong, Rongqin Zheng

In this paper, a multi-scale framework with local region based active contour and boundary shape similarity constraint is proposed for the segmentation of levator hiatus in ultrasound images.


M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

11 code implementations12 Nov 2018 Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling

Finally, we gather up the decoder layers with equivalent scales (sizes) to develop a feature pyramid for object detection, in which every feature map consists of the layers (features) from multiple levels.

Object object-detection +1

Joint Learning for Emotion Classification and Emotion Cause Detection

no code implementations EMNLP 2018 Ying Chen, Wenjun Hou, Xiyao Cheng, Shoushan Li

We present a neural network-based joint approach for emotion classification and emotion cause detection, which attempts to capture mutual benefits across the two sub-tasks of emotion analysis.

Classification Emotion Classification +2

C-arm Tomographic Imaging Technique for Nephrolithiasis and Detection of Kidney Stones

no code implementations8 Jun 2017 Nuhad A. Malalla, Ying Chen

Our C-arm tomographic technique provides a series of two dimensional (2D) images with a single scan over 40o view angle.

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