no code implementations • EMNLP 2020 • Jinghui Yan, Yining Wang, Lu Xiang, Yu Zhou, Chengqing Zong
Medical entity normalization, which links medical mentions in the text to entities in knowledge bases, is an important research topic in medical natural language processing.
no code implementations • WNUT (ACL) 2021 • Sam Davidson, Jordan Hosier, Yu Zhou, Vijay Gurbani
We explore the application of state-of-the-art NER algorithms to ASR-generated call center transcripts.
1 code implementation • 29 May 2024 • Gaole Dai, Cheng-Ching Tseng, Qingpo Wuwu, Rongyu Zhang, Shaokang Wang, Ming Lu, Tiejun Huang, Yu Zhou, Ali Ata Tuz, Matthias Gunzer, Jianxu Chen, Shanghang Zhang
The rapid pace of innovation in biological microscopy imaging has led to large images, putting pressure on data storage and impeding efficient sharing, management, and visualization.
1 code implementation • 2 May 2024 • Yu Zhou, Xiahao Zou, Yi Wang
The proposed method achieves an average DSC of 93. 36%, ASSD of 0. 85mm, 95HD of 7. 51mm.
no code implementations • 9 Apr 2024 • Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
To the best of our knowledge, this work presents the first systematic evaluation of LLMs for numerical optimization, offering a progressive, wide-coverage, and behavioral analysis.
no code implementations • 9 Apr 2024 • Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan
To address these challenges, this paper proposes a comprehensive benchmark, namely CausalBench, to evaluate the causality understanding capabilities of LLMs.
no code implementations • 1 Apr 2024 • Yu Zhou, Haoran Yin, Nanhao Zhou, Yanqun Tang, Xiaoying Zhang, Weijie Yuan
The recently developed affine frequency division multiplexing (AFDM) can achieve full diversity in doubly selective channels, providing a comprehensive sparse representation of the delay-Doppler domain channel.
no code implementations • 15 Mar 2024 • Jiahao Lyu, Jin Wei, Gangyan Zeng, Zeng Li, Enze Xie, Wei Wang, Yu Zhou
Taking advantage of the fine-tuned language model on scene recognition benchmarks and the paradigm of text block detection, extensive experiments demonstrate the superior performance of our scene text spotter across multiple public benchmarks.
1 code implementation • 5 Feb 2024 • Yan Shu, Weichao Zeng, Zhenhang Li, Fangmin Zhao, Yu Zhou
Our aim is to establish this survey as a fundamental resource, fostering continued exploration and innovation in the dynamic area of visual text processing.
1 code implementation • 4 Feb 2024 • Huan Zhou, Feng Xue, Yucong Li, Shi Gong, Yiqun Li, Yu Zhou
The spatial detail branch is firstly designed to extract low-level feature representation for the road by the first stage of ResNet-18.
1 code implementation • 30 Jan 2024 • Xurui Li, Ziming Huang, Feng Xue, Yu Zhou
We reveal that the abundant normal and abnormal cues implicit in unlabeled test images can be exploited for anomaly determination, which is ignored by prior methods.
1 code implementation • 2 Jan 2024 • Feng Xue, Yicong Chang, Tianxi Wang, Yu Zhou, Anlong Ming
Note that obstacle and reflection can be separated by the ground plane in 3D space.
no code implementations • 19 Dec 2023 • Xiaomeng Yang, Zhi Qiao, Yu Zhou, Weiping Wang
Nowadays, scene text recognition has attracted more and more attention due to its diverse applications.
no code implementations • 12 Dec 2023 • Dongliang Luo, Yuliang Liu, Rui Yang, Xianjin Liu, Jishen Zeng, Yu Zhou, Xiang Bai
With the surge in realistic text tampering, detecting fraudulent text in images has gained prominence for maintaining information security.
1 code implementation • 22 Nov 2023 • Yu Zhou, Zihao Dong, Guofeng Zhang, Jingchen Tang
In this work, we will propose a non-targeted Hard Label Black Box Node Injection Attack on Graph Neural Networks, which to the best of our knowledge, is the first of its kind.
1 code implementation • 2 Nov 2023 • Yu Zhou, Jan Sollmann, Jianxu Chen
In the end, we hope the present study could shed light on the potential of deep learning based image compression and the impact of image compression on downstream deep learning based image analysis models.
1 code implementation • 23 Oct 2023 • Te-Lin Wu, Yu Zhou, Nanyun Peng
The ability to actively ground task instructions from an egocentric view is crucial for AI agents to accomplish tasks or assist humans virtually.
no code implementations • 14 Oct 2023 • Mengfei Xia, Yujun Shen, Changsong Lei, Yu Zhou, Ran Yi, Deli Zhao, Wenping Wang, Yong-Jin Liu
By viewing the generation of diffusion models as a discretized integrating process, we argue that the quality drop is partly caused by applying an inaccurate integral direction to a timestep interval.
1 code implementation • 10 Oct 2023 • Yu Zhou, Yunqiu Han, Hanyu Zhou, Yulun Wu
In this work, we aim to bridge the gap by introducing current ML-based methods to improve general purpose pre-trained language models in the task of commonsense reasoning.
no code implementations • 3 Sep 2023 • Wenjie Mei, Yu Zhou, Ahmad Taha, Chengyan Zhao
This paper proposes a class of basis functions for realizing the input-to-state stability verification of identified models obtained from the true system (assumed to be input-to-state stable) using the Koopman operator.
no code implementations • 14 Aug 2023 • Xugong Qin, Pengyuan Lyu, Chengquan Zhang, Yu Zhou, Kun Yao, Peng Zhang, Hailun Lin, Weiping Wang
Different from existing methods which integrate multiple-granularity features or multiple outputs, we resort to the perspective of representation learning in which auxiliary tasks are utilized to enable the encoder to jointly learn robust features with the main task of per-pixel classification during optimization.
no code implementations • 6 Aug 2023 • Shiyu Song, Yanqun Tang, Xizhang Wei, Yu Zhou, Xianjie Lu, Zhengpeng Wang, Songhu Ge
In each layer, our proposed m-MTLS estimator first employs an M-estimate total least mean squares (MTLS) algorithm to eliminate residual SI from the received signal and give a new estimation of the RT channel.
no code implementations • 3 Aug 2023 • Jialiang Lin, Yao Yu, Yu Zhou, Zhiyang Zhou, Xiaodong Shi
In the case of these manuscripts, the traditional fuzzy matching method is incapable of mapping the preprint to the final published version.
1 code implementation • 6 Jul 2023 • Min Xiao, Junnan Zhu, Haitao Lin, Yu Zhou, Chengqing Zong
Therefore, we propose a novel Coarse-to-Fine contribution network for multimodal Summarization (CFSum) to consider different contributions of images for summarization.
1 code implementation • 9 Jun 2023 • Yu Zhou, Justin Sonneck, Sweta Banerjee, Stefanie Dörr, Anika Grüneboom, Kristina Lorenz, Jianxu Chen
Artificial intelligence (AI) has been widely used in bioimage image analysis nowadays, but the efficiency of AI models, like the energy consumption and latency is not ignorable due to the growing model size and complexity, as well as the fast-growing analysis needs in modern biomedical studies.
1 code implementation • 27 May 2023 • Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal, Heng Ji
To automate the induction of such graph scripts for given tasks, we propose to take advantage of loosely aligned videos of people performing the tasks.
no code implementations • 25 May 2023 • Xiaomeng Yang, Zhi Qiao, Jin Wei, Dongbao Yang, Yu Zhou
We utilize the training procedure of PLM, and to integrate MLM, we incorporate word length information into the decoding process and replace the undetermined characters with mask tokens.
no code implementations • 20 May 2023 • Xiao-Min Zeng, Yan Song, Zhu Zhuo, Yu Zhou, Yu-Hong Li, Hui Xue, Li-Rong Dai, Ian McLoughlin
In this paper, we propose a joint generative and contrastive representation learning method (GeCo) for anomalous sound detection (ASD).
no code implementations • 9 May 2023 • Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong
Text image machine translation (TIMT) has been widely used in various real-world applications, which translates source language texts in images into another target language sentence.
1 code implementation • 9 May 2023 • Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong
Furthermore, the ablation studies verify the generalization of our method, where the proposed modal adapter is effective to bridge various OCR and MT models.
1 code implementation • 23 Apr 2023 • Yu Zhou, Yu Chen, Xiao Zhang, Pan Lai, Lei Huang, Jianmin Jiang
While the initial reconstruction sub-network has a hierarchical structure to progressively recover the image, reducing the number of parameters, the residual reconstruction sub-network facilitates recurrent residual feature extraction via recurrent learning to perform both feature fusion and deep reconstructions across different scales.
1 code implementation • 14 Mar 2023 • Yu Zhou, Liyuan Guo, Lianghai Jin
Firstly, to reduce redundancy among features extracted from pre-trained ResNet-50, we use the orthogonal loss to decompose and compact these features into three sets of orthogonal sub-features.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 28 Feb 2023 • Yu Zhou, Haoran Yin, Jiaojiao Xiong, Shiyu Song, Jiajun Zhu, Jinming Du, Haibo Chen, Yanqun Tang
In the high-mobility scenarios of next-generation wireless communication systems (beyond 5G/6G), the performance of orthogonal frequency division multiplexing (OFDM) deteriorates drastically due to the loss of orthogonality between the subcarriers caused by large Doppler frequency shifts.
no code implementations • 22 Feb 2023 • Haoran Yin, Jiaojiao Xiong, Yu Zhou, Chi Zhang, Di Zhang, Xizhang Wei, Yanqun Tang
Delay-Doppler waveform design has been considered as a promising solution to achieve reliable communication under high-mobility channels for the space-air-ground-integrated networks (SAGIN).
1 code implementation • ICCV 2023 • Bo Fang, Wenhao Wu, Chang Liu, Yu Zhou, Yuxin Song, Weiping Wang, Xiangbo Shu, Xiangyang Ji, Jingdong Wang
In the refined embedding space, we represent text-video pairs as probabilistic distributions where prototypes are sampled for matching evaluation.
no code implementations • 13 Dec 2022 • Hong-Yan Zhang, Fei Liu, Yu Zhou, Man Liang
Although explicit symplectic geometric algorithms (ESGA) for this problem are available, there is a lack of a unified way for constructing high order symplectic difference schemes with configurable order parameter.
no code implementations • 6 Dec 2022 • Yang Zhao, Junnan Zhu, Lu Xiang, Jiajun Zhang, Yu Zhou, FeiFei Zhai, Chengqing Zong
To alleviate the CF, we investigate knowledge distillation based life-long learning methods.
no code implementations • 14 Nov 2022 • Gecheng Chen, Yu Zhou, Xudong Zhang, Rui Tuo
The area of transfer learning comprises supervised machine learning methods that cope with the issue when the training and testing data have different input feature spaces or distributions.
no code implementations • 2 Nov 2022 • Yifei Zhang, Chang Liu, Yu Zhou, Weiping Wang, Qixiang Ye, Xiangyang Ji
In this paper, we present relation-aware contrastive self-supervised learning (ReCo) to integrate instance relations, i. e., global distribution relation and local interpolation relation, into the CSL framework in a plug-and-play fashion.
1 code implementation • 9 Oct 2022 • Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng
Due to the high-cost annotations of abnormal images, most methods utilize only known normal images during training and identify samples deviating from the normal profile as anomalies in the testing phase.
1 code implementation • 8 Oct 2022 • Cong Ma, Yaping Zhang, Mei Tu, Xu Han, Linghui Wu, Yang Zhao, Yu Zhou
End-to-end text image translation (TIT), which aims at translating the source language embedded in images to the target language, has attracted intensive attention in recent research.
no code implementations • 4 Oct 2022 • Yu Zhou, Andrey Polyakov, Gang Zheng
The attitude tracking problem for a full-actuated rigid body in 3D is studied using a impulsive system model based on Lie algebra so(3).
no code implementations • 28 Sep 2022 • Jialiang Lin, Yingmin Wang, Yao Yu, Yu Zhou, Yidong Chen, Xiaodong Shi
Some organizations and researchers manually collect AI papers with available source code to contribute to the AI community.
1 code implementation • 16 Sep 2022 • Jinlong Li, Zequn Jie, Xu Wang, Yu Zhou, Xiaolin Wei, Lin Ma
"Progressive Patch Learning" further extends the feature destruction and patch learning to multi-level granularities in a progressive manner.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
no code implementations • 11 Jul 2022 • Wei-Ying Yi, Yu Zhou, Ya-Fen Chan, Yee Leung, Kam-Sang Woo, Wen-Wei Che, Kai-Hon Lau, Jia-Min Chen, Kwong-Sak Leung
To mitigate the significant biases/errors in research studying the associations between PM and health, which are introduced by the coarse/inadequate assessments of PM exposure from conventional PM monitoring paradigm, a personalized monitoring system consisting of a low-cost wearable PM device is proposed.
no code implementations • 11 Jul 2022 • Wei-Ying Yi, Peng-Fei Liu, Sheung-Lai Lo, Ya-Fen Chan, Yu Zhou, Yee Leung, Kam-Sang Woo, Alex Pui-Wai Lee, Jia-Min Chen, Kwong-Sak Leung
This system continuously monitors the users' ECG information to provide personalized health warnings/feedbacks.
1 code implementation • 8 Jun 2022 • Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng
Subsequently, inter-discrepancy between the two modules, and intra-discrepancy inside the module that is trained on only normal images are designed as anomaly scores to indicate anomalies.
2 code implementations • ACL 2022 • Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong
Therefore, we propose a novel role interaction enhanced method for role-oriented dialogue summarization.
no code implementations • 10 May 2022 • Youhui Guo, Yu Zhou, Xugong Qin, Enze Xie, Weiping Wang
Recent scene text detection methods are almost based on deep learning and data-driven.
no code implementations • 16 Apr 2022 • Shi Gong, Xiaoqing Ye, Xiao Tan, Jingdong Wang, Errui Ding, Yu Zhou, Xiang Bai
Birds-eye-view (BEV) semantic segmentation is critical for autonomous driving for its powerful spatial representation ability.
no code implementations • 14 Apr 2022 • Tianxi Wang, Feng Xue, Yu Zhou, Anlong Ming
Moreover, we further apply the proposed MARF to the people detection and tracking system, achieving a considerable gain in all metrics.
no code implementations • 24 Mar 2022 • Chengyang Fang, Gangyan Zeng, Yu Zhou, Daiqing Wu, Can Ma, Dayong Hu, Weiping Wang
Texts in scene images convey critical information for scene understanding and reasoning.
Optical Character Recognition Optical Character Recognition (OCR) +3
1 code implementation • 4 Mar 2022 • Junwen Xiong, Yu Zhou, Peng Zhang, Lei Xie, Wei Huang, Yufei zha
Active speaker detection and speech enhancement have become two increasingly attractive topics in audio-visual scenario understanding.
1 code implementation • 15 Dec 2021 • Xiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang
Since the covariance matrix of each category represents the feature transformation directions, we can sample new directions from similar categories to generate definitely different instances.
Ranked #50 on Long-tail Learning on CIFAR-10-LT (ρ=10)
no code implementations • 8 Dec 2021 • Jian Sun, Yu Zhou, Chengqing Zong
To address the problem, we propose a novel model, called DyMen, to dynamically adjust the subsequent linking target based on the previously linked entities via reinforcement learning, enabling the model to select a link target that can fully use previously linked information.
no code implementations • 1 Dec 2021 • Yuchen He, Sihong Duan, Jianxing Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Yu Zhou, Zhuo Xu
The testing results show that the proposed method can achieve image reconstruction at a very low sampling rate (0. 38$\%$).
1 code implementation • 17 Nov 2021 • Feng Xue, Anlong Ming, Yu Zhou
Edges are the fundamental visual element for discovering tiny obstacles using a monocular camera.
1 code implementation • 9 Nov 2021 • Yuzhe Gao, Xing Li, Jiajian Zhang, Yu Zhou, Dian Jin, Jing Wang, Shenggao Zhu, Xiang Bai
We leverage a Siamese ComplementaryModule to fully exploit the continuity characteristic of the textinstances in the temporal dimension, which effectively alleviatesthe missed detection of the text instances, and hence ensuresthe completeness of each text trajectory.
1 code implementation • 25 Oct 2021 • Wei Wang, Yu Zhou, Jiahao Lv, Dayan Wu, Guoqing Zhao, Ning Jiang, Weiping Wang
The research focus of scene text detection and recognition has shifted to arbitrary shape text in recent years, where the text shape representation is a fundamental problem.
Ranked #5 on Text Spotting on SCUT-CTW1500
no code implementations • 16 Sep 2021 • Xiaoni Li, Yu Zhou, Yifei Zhang, Aoting Zhang, Wei Wang, Ning Jiang, Haiying Wu, Weiping Wang
Concretely, these downstream tasks require more accurate representation, in other words, the pixels from the same object must belong to a shared semantic category, which is lacking in the previous methods.
1 code implementation • 9 Sep 2021 • Zhi Qiao, Yu Zhou, Jin Wei, Wei Wang, Yuan Zhang, Ning Jiang, Hongbin Wang, Weiping Wang
In this paper, we propose a Parallel, Iterative and Mimicking Network (PIMNet) to balance accuracy and efficiency.
no code implementations • 8 Sep 2021 • Xugong Qin, Yu Zhou, Youhui Guo, Dayan Wu, Zhihong Tian, Ning Jiang, Hongbin Wang, Weiping Wang
We propose to use an MLP decoder instead of the "deconv-conv" decoder in the mask head, which alleviates the issue and promotes robustness significantly.
no code implementations • 8 Sep 2021 • Youhui Guo, Yu Zhou, Xugong Qin, Weiping Wang
In this paper, we propose a simple yet effective method for accurate arbitrary-shaped nearby scene text detection.
2 code implementations • EMNLP 2021 • Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong
Therefore, in this paper, we introduce a novel Chinese dataset for Customer Service Dialogue Summarization (CSDS).
1 code implementation • 19 Aug 2021 • Haitao Lin, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong
We propose two strategies for finetuning process: value-based and context-based augmentation.
no code implementations • 17 Aug 2021 • Haotian Song, Xiaoyu Nie, Hairong Su, Hui Chen, Yu Zhou, Xingchen Zhao, Tao Peng, Marlan O. Scully
We present a framework for computational ghost imaging based on deep learning and customized pink noise speckle patterns.
Ranked #1 on Open-Domain Question Answering on Natural Questions
no code implementations • 8 Jul 2021 • Wei Li, Dezhao Luo, Bo Fang, Yu Zhou, Weiping Wang
As a result, we can leverage the spatial information (the size of objects), temporal information (the direction and magnitude of motions) as our learning target.
no code implementations • 5 Jul 2021 • Dongbao Yang, Yu Zhou, Weiping Wang
Due to the storage burden and the privacy of old data, sometimes it is impractical to train the model from scratch with both old and new data.
no code implementations • 2 Jul 2021 • Xiaoni Li, Yucan Zhou, Yu Zhou, Weiping Wang
Hierarchical classification is significant for complex tasks by providing multi-granular predictions and encouraging better mistakes.
no code implementations • 28 Jun 2021 • Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao
This paper presents the Rail-5k dataset for benchmarking the performance of visual algorithms in a real-world application scenario, namely the rail surface defects detection task.
1 code implementation • 18 Jun 2021 • Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, YiXuan Wang, Yanlin Chen, Leye Wang, Man Huang
To address this issue, we propose a novel semi-supervised transfer learning framework based on optimal transport theory and self-paced ensemble for Sepsis early detection, called SPSSOT, which can efficiently transfer knowledge from the source hospital (with rich labeled data) to the target hospital (with scarce labeled data).
1 code implementation • 7 May 2021 • Yifei Zhang, Yu Zhou, Weiping Wang
Despite the great progress achieved in unsupervised feature embedding, existing contrastive learning methods typically pursue view-invariant representations through attracting positive sample pairs and repelling negative sample pairs in the embedding space, while neglecting to systematically explore instance relations.
1 code implementation • 19 Apr 2021 • Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai
Current weakly-supervised counting methods adopt the CNN to regress a total count of the crowd by an image-to-count paradigm.
no code implementations • 18 Mar 2021 • Yitong Liu, Zhengshuo Li, Yu Zhou
Case studies have demonstrated that our model generally has 2 to over 10-fold smaller average errors than other linear power flow models, enjoys a satisfying accuracy against bad data, and facilitates a faster solution to DPS analysis and optimization problems.
1 code implementation • 26 Feb 2021 • Feng Xue, Junfeng Cao, Yu Zhou, Fei Sheng, Yankai Wang, Anlong Ming
However, two issues remain unresolved: (1) The deep feature encodes the wrong farthest region in a scene, which leads to a distorted 3D structure of the predicted depth; (2) The low-level features are insufficient utilized, which makes it even harder to estimate the depth near the edge with sudden depth change.
3 code implementations • 16 Feb 2021 • Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou
Most regression-based methods utilize convolution neural networks (CNN) to regress a density map, which can not accurately locate the instance in the extremely dense scene, attributed to two crucial reasons: 1) the density map consists of a series of blurry Gaussian blobs, 2) severe overlaps exist in the dense region of the density map.
no code implementations • 21 Jan 2021 • Lorenzo Bertizzolo, Tuyen X. Tran, John Buczek, Bharath Balasubramanian, Rittwik Jana, Yu Zhou, Tommaso Melodia
This may result in uplink inter-cell interference and uplink performance degradation for the neighboring ground UEs when drones transmit at high data-rates (e. g., video streaming).
Networking and Internet Architecture Signal Processing
1 code implementation • 6 Jan 2021 • Runtian Miao, Robert Toth, Yu Zhou, Anant Madabhushi, Andrew Janowczyk
Image based biomarker discovery typically requires an accurate segmentation of histologic structures (e. g., cell nuclei, tubules, epithelial regions) in digital pathology Whole Slide Images (WSI).
no code implementations • 16 Dec 2020 • Yu Zhou, Haixia Zheng, Xin Huang, Shufeng Hao, Dengao Li, Jumin Zhao
Graph neural networks provide a powerful toolkit for embedding real-world graphs into low-dimensional spaces according to specific tasks.
no code implementations • COLING 2020 • Jian Sun, Yu Zhou, Chengqing Zong
The hierarchical attention adaptively aggregates the low-hierarchy and the high-hierarchy information, which is beneficial to balance the neighborhood information of counterpart entities and distinguish non-counterpart entities with similar structures.
no code implementations • COLING 2020 • Yang Zhao, Lu Xiang, Junnan Zhu, Jiajun Zhang, Yu Zhou, Chengqing Zong
Previous studies combining knowledge graph (KG) with neural machine translation (NMT) have two problems: i) Knowledge under-utilization: they only focus on the entities that appear in both KG and training sentence pairs, making much knowledge in KG unable to be fully utilized.
1 code implementation • 19 Oct 2020 • Zhi Qiao, Xugong Qin, Yu Zhou, Fei Yang, Weiping Wang
In this paper, we propose Gaussian Constrained Attention Network to deal with this problem.
no code implementations • 6 Aug 2020 • Dezhao Luo, Bo Fang, Yu Zhou, Yucan Zhou, Dayan Wu, Weiping Wang
Then a designed sampling strategy is used to model relations for video clips.
no code implementations • 27 Jul 2020 • Dongbao Yang, Yu Zhou, Dayan Wu, Can Ma, Fei Yang, Weiping Wang
Modern object detection methods based on convolutional neural network suffer from severe catastrophic forgetting in learning new classes without original data.
no code implementations • 13 Jul 2020 • Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, QinGhua Hu, Weiping Wang
Some works in the optimization of deep neural networks have shown that a better arrangement of training data can make the classifier converge faster and perform better.
no code implementations • 10 Jul 2020 • Xugong Qin, Yu Zhou, Dayan Wu, Yinliang Yue, Weiping Wang
Accurate detection of multi-oriented text with large variations of scales, orientations, and aspect ratios is of great significance.
1 code implementation • 6 Jul 2020 • Yifei Zhang, Chang Liu, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye
In this work, we propose a novel clustering based method, which, by iteratively excluding class inconsistent samples during progressive cluster formation, alleviates the impact of noise samples in a simple-yet-effective manner.
no code implementations • ACL 2020 • Junnan Zhu, Yu Zhou, Jiajun Zhang, Cheng-qing Zong
Cross-lingual summarization aims at summarizing a document in one language (e. g., Chinese) into another language (e. g., English).
1 code implementation • 20 Jun 2020 • Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye
The generative perception model acts as a feature decoder to focus on comprehending high temporal resolution and short-term representation by introducing a motion-attention mechanism.
no code implementations • 23 May 2020 • Yudi Chen, Wei Wang, Yu Zhou, Fei Yang, Dongbao Yang, Weiping Wang
To address this problem, we propose a self-training framework to automatically mine hard examples with pseudo-labels from unannotated videos or images.
2 code implementations • CVPR 2020 • Zhi Qiao, Yu Zhou, Dongbao Yang, Yucan Zhou, Weiping Wang
Scene text recognition is a hot research topic in computer vision.
no code implementations • 4 Feb 2020 • Yu Zhou, Xinying Yang, Taolue Chen, Zhiqiu Huang, Xiaoxing Ma, Harald Gall
In this paper, we propose a framework, BRAID (Boosting RecommendAtion with Implicit FeeDback), which leverages learning-to-rank and active learning techniques to boost recommendation performance.
no code implementations • Applied Computational Intelligence and Soft Computing 2020 • Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai
An advanced system with more computing power can facilitate deep learning feature, which exploit many neural network algorithms to simulate human brains.
1 code implementation • 2 Jan 2020 • Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang
As a proxy task, it converts rich self-supervised representations into video clip operations (options), which enhances the flexibility and reduces the complexity of representation learning.
Ranked #11 on Self-supervised Video Retrieval on HMDB51
2 code implementations • 11 Dec 2019 • Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai
In this paper, we focus on exploring the robustness of the 3D object detection in point clouds, which has been rarely discussed in existing approaches.
no code implementations • IJCNLP 2019 • Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He
In recent years, advances in neural variational inference have achieved many successes in text processing.
no code implementations • 15 Oct 2019 • Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
The source code suggestions provided by current IDEs are mostly dependent on static type learning.
1 code implementation • 12 Oct 2019 • Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
A challenging issue of these approaches is that they require training from starch for a different related problem.
1 code implementation • IJCNLP 2019 • Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Cheng-qing Zong
Moreover, we propose to further improve NCLS by incorporating two related tasks, monolingual summarization and machine translation, into the training process of CLS under multi-task learning.
no code implementations • 27 Aug 2019 • Xugong Qin, Yu Zhou, Dongbao Yang, Weiping Wang
The performance of the proposed method is comparable with the state-of-the-art methods with only 10% pixel-level annotated data and 90% rectangle-level weakly annotated data.
1 code implementation • ICCV 2019 • Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou
On one hand, considering the relevance between edge and orientation, two sub-networks are designed to share the occlusion cue.
no code implementations • 1 Jul 2019 • Kexin Wang, Yu Zhou, Shaonan Wang, Jiajun Zhang, Cheng-qing Zong
Recent work has shown that memory modules are crucial for the generalization ability of neural networks on learning simple algorithms.
no code implementations • ACL 2019 • He Bai, Yu Zhou, Jiajun Zhang, Cheng-qing Zong
Dialogue contexts are proven helpful in the spoken language understanding (SLU) system and they are typically encoded with explicit memory representations.
2 code implementations • 23 Apr 2019 • Feng Xue, Anlong Ming, Menghan Zhou, Yu Zhou
For tiny obstacle discovery in a monocular image, edge is a fundamental visual element.
no code implementations • 21 Mar 2019 • Rui Lu, Menghan Zhou, Anlong Ming, Yu Zhou
Occlusion edge detection requires both accurate locations and context constraints of the contour.
1 code implementation • 3 Mar 2019 • Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
We evaluate CodeGRU with real-world data set and it shows that CodeGRU outperforms the state-of-the-art language models and help reduce the vocabulary size up to 24. 93\%.
1 code implementation • 8 Dec 2018 • Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu
In experiments, the proposed method shows more appealing stylized results in transferring the style of Chinese traditional painting than state-of-the-art neural style transfer methods.
no code implementations • EMNLP 2018 • Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang, Cheng-qing Zong
In this paper, we propose a novel task, multimodal summarization with multimodal output (MSMO).
no code implementations • 19 Aug 2018 • He Bai, Yu Zhou, Jiajun Zhang, Liang Zhao, Mei-Yuh Hwang, Cheng-qing Zong
This paper focuses on the language transferring task given a tiny in-domain parallel SLU corpus.
Cultural Vocal Bursts Intensity Prediction domain classification +6
no code implementations • COLING 2018 • He Bai, Yu Zhou, Jiajun Zhang, Liang Zhao, Mei-Yuh Hwang, Cheng-qing Zong
An SLU corpus is a monolingual corpus with domain/intent/slot labels.
Cultural Vocal Bursts Intensity Prediction domain classification +8
no code implementations • 31 Mar 2018 • Aslak Bakke Buan, Yu Qiu, Yu Zhou
As an application, we show that the spherical twist group $\operatorname{ST}(\mathbf{S}_\bigtriangleup)$ associated to $\mathcal{D}_{fd}(\mathbf{S}_\bigtriangleup)$ acts faithfully on its space of stability conditions.
Representation Theory Rings and Algebras
no code implementations • WS 2017 • Guoping Huang, Jiajun Zhang, Yu Zhou, Cheng-qing Zong
Terms extensively exist in specific domains, and term translation plays a critical role in domain-specific machine translation (MT) tasks.
no code implementations • ICCV 2017 • Jianxiang Ma, Anlong Ming, Zilong Huang, Xinggang Wang, Yu Zhou
Edge and surface are two fundamental visual elements of an object.
no code implementations • 8 Dec 2016 • Bin Bai, Jianbin Liu, Yu Zhou, Songlin Zhang, Yuchen He, Zhuo Xu
We have designed a single-pixel camera with imaging around corners based on computational ghost imaging.
no code implementations • 30 Aug 2016 • Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang
In particular, the stable matching between subproblems and solutions, which achieves an equilibrium between their mutual preferences, implicitly strikes a balance between the convergence and diversity.
no code implementations • 14 Nov 2014 • Yu Qiu, Yu Zhou
We study the 3-Calabi-Yau categories $\mathcal{D}$ arising from quivers with potential associated to a decorated marked surface $\mathbf{S}_\bigtriangleup$ introduced by the first author.
Representation Theory Category Theory Geometric Topology
no code implementations • 31 Oct 2013 • Yu Qiu, Yu Zhou
We study the cluster categories arising from marked surfaces (with punctures and non-empty boundaries).
Representation Theory Geometric Topology 16G20, 18E30, 16E30, 57M50 (primary), 16G70 (secondary)
no code implementations • TACL 2013 • Feifei Zhai, Jiajun Zhang, Yu Zhou, Cheng-qing Zong
In current research, most tree-based translation models are built directly from parse trees.
no code implementations • NeurIPS 2012 • Yu Zhou, Xiang Bai, Wenyu Liu, Longin J. Latecki
A key feature of our approach is that the time complexity of the dif-fusion on the TPG is the same as the diffusion process on each of the original graphs, Moreover, it is not necessary to explicitly construct the TPG in our frame-work.