no code implementations • 24 Apr 2024 • Chenxuan Cui, Ying Chen, Qinxin Wang, David R. Mortensen
Proto-form reconstruction has been a painstaking process for linguists.
no code implementations • 11 Apr 2024 • Ying Chen, Jiajing Xie, Yuxiang Lin, Yuhang Song, Wenxian Yang, Rongshan Yu
SurvMamba is implemented with a Hierarchical Interaction Mamba (HIM) module that facilitates efficient intra-modal interactions at different granularities, thereby capturing more detailed local features as well as rich global representations.
2 code implementations • 11 Apr 2024 • Weiyu Sun, Xinyu Zhang, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
Remote photoplethysmography (rPPG) technology has become increasingly popular due to its non-invasive monitoring of various physiological indicators, making it widely applicable in multimedia interaction, healthcare, and emotion analysis.
no code implementations • 10 Apr 2024 • Zhengyang Lu, Ying Chen
Monocular depth estimation from a single image is an ill-posed problem for computer vision due to insufficient reliable cues as the prior knowledge.
no code implementations • 22 Mar 2024 • Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin, Ying Chen, Rui Shi, Yucheng Zheng, Yupeng Zhu, Bingbing Ni
The core idea of DAL lies in employing a Diffusion-based Data Amplifier (DDA) to "amplify" limited images for the model training, thereby enabling accurate pixel-to-pixel supervision with merely a handful of annotations.
no code implementations • 21 Mar 2024 • Xi Jiang, Ying Chen, Qiang Nie, Jianlin Liu, Yong liu, Chengjie Wang, Feng Zheng
To address this issue, we introduce a Multi-class Implicit Neural representation Transformer for unified Anomaly Detection (MINT-AD), which leverages the fine-grained category information in the training stage.
1 code implementation • NeurIPS 2022 • Xi Jiang, Ying Chen, Qiang Nie, Yong liu, Jianlin Liu, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng
Noise discriminators are utilized to generate outlier scores for patch-level noise elimination before coreset construction.
no code implementations • 19 Mar 2024 • Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong liu, Jinlong Peng, Chengjie Wang, Feng Zheng
To our knowledge, this is the first tuning-free method that concurrently utilizes text and image guidance for image customization in specific regions.
no code implementations • 19 Mar 2024 • Ying Chen, Yong liu, Kai Wu, Qiang Nie, Shang Xu, Huifang Ma, Bing Wang, Chengjie Wang
Deep learning-based image matching methods play a crucial role in computer vision, yet they often suffer from substantial computational demands.
no code implementations • 10 Mar 2024 • Ziye Ma, Ying Chen, Javad Lavaei, Somayeh Sojoudi
Matrix sensing problems exhibit pervasive non-convexity, plaguing optimization with a proliferation of suboptimal spurious solutions.
1 code implementation • 29 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 interaction between localized visual patterns and fine-grained pathological semantics.
no code implementations • 27 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.
1 code implementation • 2 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.
no code implementations • 20 Dec 2023 • Libo Wang, Sijun Dong, Ying Chen, Xiaoliang Meng, Shenghui Fang, Ayman Habib, Songlin Fei
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.
1 code implementation • 18 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.
no code implementations • 20 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.
no code implementations • 9 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.
no code implementations • 21 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.
no code implementations • 13 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.
no code implementations • 13 Sep 2023 • Xinyu Zhang, Weiyu Sun, Ying Chen
In this work, we revisit this key challenge through the lens of gradient conflicts on the server side.
no code implementations • 13 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.
no code implementations • 7 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.
no code implementations • 19 Jul 2023 • Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Wei Wu, Shuming Hu, Sibin Deng, Pengxiang Xiao, Ying Chen, Kai Li, Kai Zhao, Kun Yuan, Ming Sun, Heng Cong, Hao Wang, Lingzhi Fu, Yusheng Zhang, Rongyu Zhang, Hang Shi, Qihang Xu, Longan Xiao, Zhiliang Ma, Mirko Agarla, Luigi Celona, Claudio Rota, Raimondo Schettini, Zhiwei Huang, Yanan Li, Xiaotao Wang, Lei Lei, Hongye Liu, Wei Hong, Ironhead Chuang, Allen Lin, Drake Guan, Iris Chen, Kae Lou, Willy Huang, Yachun Tasi, Yvonne Kao, Haotian Fan, Fangyuan Kong, Shiqi Zhou, Hao liu, Yu Lai, Shanshan Chen, Wenqi Wang, HaoNing Wu, Chaofeng Chen, Chunzheng Zhu, Zekun Guo, Shiling Zhao, Haibing Yin, Hongkui Wang, Hanene Brachemi Meftah, Sid Ahmed Fezza, Wassim Hamidouche, Olivier Déforges, Tengfei Shi, Azadeh Mansouri, Hossein Motamednia, Amir Hossein Bakhtiari, Ahmad Mahmoudi Aznaveh
61 participating teams submitted their prediction results during the development phase, with a total of 3168 submissions.
no code implementations • 13 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.
no code implementations • 10 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.
1 code implementation • 17 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.
no code implementations • 13 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.
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.
no code implementations • 3 Feb 2023 • Lingfeng Shen, Ze Zhang, Haiyun Jiang, Ying Chen
A recent line of work, detection-based defense, aims to distinguish adversarial sentences from benign ones.
1 code implementation • 11 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.
no code implementations • 30 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.
no code implementations • 23 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.
no code implementations • 9 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.
no code implementations • 31 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.
no code implementations • 5 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.
no code implementations • 20 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.
no code implementations • 31 Aug 2022 • Jianlin Liu, Zhuofei Huang, Dihe Huang, Shang Xu, Ying Chen, Yong liu
3D object detection from monocular image(s) is a challenging and long-standing problem of computer vision.
1 code implementation • 30 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.
no code implementations • 28 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.
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.
1 code implementation • 18 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.
Ranked #5 on Image Enhancement on MIT-Adobe 5k (PSNR on proRGB metric)
1 code implementation • 14 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.
1 code implementation • 14 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
no code implementations • 11 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.
no code implementations • 4 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.
no code implementations • 8 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.
no code implementations • 23 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.
2 code implementations • 5 May 2022 • Jie Song, Ying Chen, Jingwen Ye, Mingli Song
Knowledge distillation (KD) has become a well established paradigm for compressing deep neural networks.
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.
Ranked #2 on Photo Retouching on MIT-Adobe 5k
2 code implementations • 21 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.
2 code implementations • 20 Apr 2022 • Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, WangMeng Zuo, Pavel Ostyakov, Vyal Dmitry, Shakarim Soltanayev, Chervontsev Sergey, Zhussip Magauiya, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Qian Wang, Xin Liu, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon
This challenge includes three tracks.
no code implementations • 5 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.
no code implementations • 25 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.
2 code implementations • 19 Mar 2022 • Yifu Qiu, Hongyu Li, Yingqi Qu, Ying Chen, Qiaoqiao She, Jing Liu, Hua Wu, Haifeng Wang
In this paper, we present DuReader_retrieval, a large-scale Chinese dataset for passage retrieval.
no code implementations • 21 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.
1 code implementation • 18 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.
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).
1 code implementation • 11 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.
1 code implementation • 16 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.
2 code implementations • 25 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.
no code implementations • 20 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.
no code implementations • 11 Oct 2021 • Xianghua Ye, Dazhou Guo, Chen-Kan Tseng, Jia Ge, Tsung-Min Hung, Ping-Ching Pai, Yanping Ren, Lu Zheng, Xinli Zhu, Ling Peng, Ying Chen, Xiaohua Chen, Chen-Yu Chou, Danni Chen, Jiaze Yu, Yuzhen Chen, Feiran Jiao, Yi Xin, Lingyun Huang, Guotong Xie, Jing Xiao, Le Lu, Senxiang Yan, Dakai Jin, Tsung-Ying Ho
252 institution-1 patients had a treatment planning-CT (pCT) and a pair of diagnostic FDG-PETCT; 354 patients from other 3 institutions had only pCT.
2 code implementations • 3 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.
1 code implementation • 30 Sep 2021 • Xiaoqiang Zhang, Ying Chen, Guangyuan Li
In the past decade, sarcasm detection has been intensively conducted in a textual scenario.
no code implementations • 30 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.
1 code implementation • 15 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.
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.
no code implementations • 4 Jun 2021 • Xiuqin Xu, Hanqiu Peng, Ying Chen
Modern time series data often display complex nonlinear dependencies along with irregular regime-switching behaviors.
1 code implementation • 23 May 2021 • Yang Li, Hermawan Mulyono, Ying Chen, Zhiyin Lu, Desmond Chan
Climate change has largely impacted our daily lives.
no code implementations • 19 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.
1 code implementation • 10 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).
no code implementations • 3 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.
no code implementations • NAACL (AutoSimTrans) 2021 • Ruiqing Zhang, Xiyang Wang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Zhi Li, Haifeng Wang, Ying Chen, Qinfei Li
This corpus is expected to promote the research of automatic simultaneous translation as well as the development of practical systems.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
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.
1 code implementation • 25 Feb 2021 • Xiuqin Xu, Ying Chen
We propose a deep stochastic volatility model (DSVM) based on the framework of deep latent variable models.
no code implementations • 18 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.
no code implementations • 6 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.
no code implementations • 6 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.
no code implementations • 25 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.
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.
1 code implementation • 8 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.
Ranked #6 on Text Spotting on SCUT-CTW1500
no code implementations • 3 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.
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.
Ranked #6 on Emotion-Cause Pair Extraction on ECPE
no code implementations • 20 Nov 2020 • Wenlong Gao, Ying Chen, Yong Peng
Weakly supervised object detection (WSOD) aims to classify and locate objects with only image-level supervision.
no code implementations • 11 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.
1 code implementation • 17 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.
no code implementations • IEEE 2020 • Ying Chen, Zhiyong Liu, Yongchao Zhang, Yuan Wu, Xin Chen, Lian Zhao
In order to minimize the long-term average delay of the tasks, theoriginal problem is transformed into a Markov decision process (MDP).
no code implementations • 9 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.
1 code implementation • 3 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
no code implementations • 1 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.
1 code implementation • 23 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.
1 code implementation • 22 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.
no code implementations • 31 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.
1 code implementation • 27 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.
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.
no code implementations • 8 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.
no code implementations • 19 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.
1 code implementation • 16 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.
no code implementations • 17 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.
no code implementations • 13 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.
no code implementations • 21 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.
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.
1 code implementation • 24 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.
no code implementations • 7 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
no code implementations • 11 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.
12 code implementations • 12 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.
Ranked #145 on Object Detection on COCO test-dev
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.
2 code implementations • ACL 2018 • Xiangyang Zhou, Lu Li, daxiang dong, Yi Liu, Ying Chen, Wayne Xin Zhao, dianhai yu, Hua Wu
Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context.
Ranked #6 on Conversational Response Selection on RRS
no code implementations • 8 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.
no code implementations • COLING 2016 • Suyang Zhu, Shoushan Li, Ying Chen, Guodong Zhou
Machine learning-based methods have obtained great progress on emotion classification.