Author: "Peng, Yuxin" / Topic: deep learning - Searchworks@Jio Institute Digital Library Search Results

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73 results on '"Peng, Yuxin"'

1. Fine-Grained Image Analysis With Deep Learning: A Survey.

Author: Wei XS, Song YZ, Aodha OM, Wu J, Peng Y, Tang J, Yang J, and Belongie S
Subjects: Animals, Algorithms, Image Processing, Computer-Assisted methods, Birds, Neural Networks, Computer, Deep Learning
Abstract: Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer vision and pattern recognition, and underpins a diverse set of real-world applications. The task of FGIA targets analyzing visual objects from subordinate categories, e.g., species of birds or models of cars. The small inter-class and large intra-class variation inherent to fine-grained image analysis makes it a challenging problem. Capitalizing on advances in deep learning, in recent years we have witnessed remarkable progress in deep learning powered FGIA. In this paper we present a systematic survey of these advances, where we attempt to re-define and broaden the field of FGIA by consolidating two fundamental fine-grained research areas - fine-grained image recognition and fine-grained image retrieval. In addition, we also review other key issues of FGIA, such as publicly available benchmark datasets and related domain-specific applications. We conclude by highlighting several research directions and open problems which need further exploration from the community.
Published: 2022
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2. Quintuple-Media Joint Correlation Learning With Deep Compression and Regularization.

Author: Peng, Yuxin and Qi, Jinwei
Subjects: *DEEP learning, *PRUNING, *LEARNING ability
Abstract: Multi-media data including image, video, text, audio, and 3D model, has been fast emerging on the Internet. Jointly correlating the data of various media types is a challenging task. With the considerable learning ability of deep network, existing works mainly construct multi-pathway network to learn cross-media correlation, where each pathway is for one media type. However, with number of media types increasing, existing methods face the problems of high repetition and complexity, leading to overfitting and poor generalization ability, which makes adverse effect on correlation learning. For addressing the above issues, we propose cross-media deep compression and regularization (CDCR) approach for quintuple-media joint correlation learning: 1) cross-media partial weight-sharing networks is proposed, where a part of parameters are commonly shared among multiple pathways, to exploit common characteristics across different media types for capturing intrinsic cross-media correlation; 2) we propose media-adaptive network pruning to drop connections between weakly-correlated neurons, which can emphasize media-specific characteristics adaptively; and 3) cross-media network regularization is proposed to utilize relationships among quintuple-media data, which can guarantee generalization ability and enhance intra-media and inter-media correlation. The experiments verify the effectiveness of our approach, which outperforms the state-of-the-art methods on two very challenging datasets, including a large-scale dataset PKU XMediaNet with more than 100 000 quintuple-media instances. [ABSTRACT FROM AUTHOR]
Published: 2020
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3. MAVA: Multi-Level Adaptive Visual-Textual Alignment by Cross-Media Bi-Attention Mechanism.

Author: Peng, Yuxin, Qi, Jinwei, and Zhuo, Yunkan
Subjects: *INFORMATION technology, *IMAGE retrieval, *DEEP learning, *EYE tracking
Abstract: The rapidly developing information technology leads to a fast growth of visual and textual contents, and it comes with huge challenges to make correlation and perform cross-media retrieval between images and sentences. Existing methods mainly explore cross-media correlation from either global-level instances as the whole images and sentences, or local-level fine-grained patches as the discriminative image regions and key words, which ignore the complementary information from the relation between local-level fine-grained patches. Naturally, relation understanding is highly important for learning cross-media correlation. People focus on not only the alignment between discriminative image regions and key words, but also their relations lying in the visual and textual context. Therefore, in this paper, we propose Multi-level Adaptive Visual-textual Alignment (MAVA) approach with the following contributions. First, we propose cross-media multi-pathway fine-grained network to extract not only the local fine-grained patches as discriminative image regions and key words, but also visual relations between image regions as well as textual relations from the context of sentences, which contain complementary information to exploit fine-grained characteristics within different media types. Second, we propose visual-textual bi-attention mechanism to distinguish the fine-grained information with different saliency from both local and relation levels, which can provide more discriminative hints for correlation learning. Third, we propose cross-media multi-level adaptive alignment to explore global, local and relation alignments. An adaptive alignment strategy is further proposed to enhance the matched pairs of different media types, and discard those misalignments adaptively to learn more precise cross-media correlation. Extensive experiments are conducted to perform image-sentence matching on 2 widely-used cross-media datasets, namely Flickr-30K and MS-COCO, comparing with 10 state-of-the-art methods, which can fully verify the effectiveness of our proposed MAVA approach. [ABSTRACT FROM AUTHOR]
Published: 2020
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4. Reinforced Cross-Media Correlation Learning by Context-Aware Bidirectional Translation.

Author: Peng, Yuxin and Qi, Jinwei
Subjects: *MACHINE translating, *REINFORCEMENT learning, *CONVOLUTIONAL neural networks, *RECURRENT neural networks, *TRANSLATIONS
Abstract: The heterogeneity gap leads to inconsistent distributions and representations between image and text, which rises a challenging task to measure their similarities and construct cross-media correlation between them. The existing works mainly model the cross-media correlation in a common subspace, which causes insufficient correlation modeling in such third-party subspace with intermediate unidirectional transformation. Inspired by the recent advances of neural machine translation, which aims to establish a corresponding relationship between two entirely different languages, we can naturally discover that it has striking common characteristic with cross-media correlation learning to consider image and text as bilingual pairs, where the image is treated as a special kind of language to provide visual description, so that bidirectional transformation can be conducted between image and text to effectively explore cross-media correlation in the feature space of each media type. Thus, we propose a reinforced cross-media bidirectional translation (RCBT) approach to model the correlation between visual and textual descriptions. First, cross-media bidirectional translation mechanism is proposed to conduct direct transformation between the bilingual pairs of visual and textual descriptions bidirectionally, where the cross-media correlation can be effectively captured in both feature spaces of image and text through bidirectional translation training. Second, cross-media context-aware network with residual attention is proposed to exploit the rich spatial and temporal context hints with cross-media convolutional recurrent neural network, which can lead to more precise correlation learning for promoting bidirectional translation process. Third, cross-media reinforcement learning is proposed to perform a two-agent communication game played as a round between image and text to boost the bidirectional translation process, and we further extract inter-media and intra-media reward signals to provide complementary clues for learning cross-media correlation. Extensive experiments are conducted on cross-media retrieval to verify the effectiveness of our proposed RCBT approach, compared with 11 state-of-the-art methods on three cross-media datasets. [ABSTRACT FROM AUTHOR]
Published: 2020
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5. Which and How Many Regions to Gaze: Focus Discriminative Regions for Fine-Grained Visual Categorization.

Author: He, Xiangteng, Peng, Yuxin, and Zhao, Junjie
Subjects: *REINFORCEMENT learning, *DEEP learning
Abstract: Fine-grained visual categorization (FGVC) aims to discriminate similar subcategories that belong to the same superclass. Since the distinctions among similar subcategories are quite subtle and local, it is highly challenging to distinguish them from each other even for humans. So the localization of distinctions is essential for fine-grained visual categorization, and there are two pivotal problems: (1) Which regions are discriminative and representative to distinguish from other subcategories? (2) How many discriminative regions are necessary to achieve the best categorization performance? It is still difficult to address these two problems adaptively and intelligently. Artificial prior and experimental validation are widely used in existing mainstream methods to discover which and how many regions to gaze. However, their applications extremely restrict the usability and scalability of the methods. To address the above two problems, this paper proposes a multi-scale and multi-granularity deep reinforcement learning approach (M2DRL), which learns multi-granularity discriminative region attention and multi-scale region-based feature representation. Its main contributions are as follows: (1) Multi-granularity discriminative localization is proposed to localize the distinctions via a two-stage deep reinforcement learning approach, which discovers the discriminative regions with multiple granularities in a hierarchical manner ("which problem"), and determines the number of discriminative regions in an automatic and adaptive manner ("how many problem"). (2) Multi-scale representation learning helps to localize regions in different scales as well as encode images in different scales, boosting the fine-grained visual categorization performance. (3) Semantic reward function is proposed to drive M2DRL to fully capture the salient and conceptual visual information, via jointly considering attention and category information in the reward function. It allows the deep reinforcement learning to localize the distinctions in a weakly supervised manner or even an unsupervised manner. (4) Unsupervised discriminative localization is further explored to avoid the heavy labor consumption of annotating, and extremely strengthen the usability and scalability of our M2DRL approach. Compared with state-of-the-art methods on two widely-used fine-grained visual categorization datasets, our M2DRL approach achieves the best categorization accuracy. [ABSTRACT FROM AUTHOR]
Published: 2019
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6. DV-Net: Dual-view network for 3D reconstruction by fusing multiple sets of gated control point clouds.

Author: Jia, Xin, Yang, Shourui, Peng, Yuxin, Zhang, Junchao, and Chen, Shengyong
Subjects: *POINT cloud, *DEEP learning, *MULTISENSOR data fusion, *POINT set theory, *QUANTITATIVE research
Abstract: • An end-to-end dual-view 3D reconstruction architecture is proposed in this paper. • The structure feature learning network is proposed in this paper. • The gated control point cloud fusion network is proposed in this paper. Deep learning for 3D reconstruction have just shown some promising advantanges, where 3D shapes can be predicted from a single RGB image. However, such works are often limited by single feature cue, which does not capture the 3D shape of objects well. To address this problem, an end-to-end 3D reconstruction approach that predicts 3D point cloud from dual-view RGB images is proposed in this paper. It consists of several processing parts. A dual-view 3D reconstruction network is proposed for 3D reconstruction, which predicts object's point clouds by exploiting two RGB images with different views, and avoids the limitation of single feature cue. Another structure feature learning network is performed to extract the structure features with stronger representation ability from point clouds. A gated control network for data fusion is proposed to gather point clouds. It takes two sets of point clouds with different views as input and fuses them. The proposed approach is thoroughly evaluated with extensive experiments on the widely-used ShapeNet dataset. Both the qualitative results and quantitative analysis demonstrate that this method not only captures the detailed geometric structures of 3D shapes for different object categories with complex topologies, but also achieves state-of-the-art performance. [ABSTRACT FROM AUTHOR]
Published: 2020
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7. Design and Implementation of the Search System Based on the Airborne Multi-mode Imaging Cloud Platform

Author: Yang, Chuandong, Gao, Yibo, Sun, Ziwen, Ling, Chong, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Wang, Yongtian, editor, Ma, Huimin, editor, Peng, Yuxin, editor, Liu, Yue, editor, and He, Ran, editor
Published: 2022
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8. Density-NMS: Cell Detection and Classification in Microscopy Images

Author: Chen, Minghui, Pan, Qiao, Luo, Yishu, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Wang, Yongtian, editor, Ma, Huimin, editor, Peng, Yuxin, editor, Liu, Yue, editor, and He, Ran, editor
Published: 2022
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9. A Detection and Tracking Combined Network for Long-Term Tracking

Author: Zeng, Hao, Wang, Zhengning, Zhao, Deming, Liu, Yijun, Zeng, Yi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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10. Towards Boosting Channel Attention for Real Image Denoising: Sub-band Pyramid Attention

Author: Li, Huayu, Wu, Haiyu, Chen, Xiwen, Wang, Hao, Razi, Abolfazl, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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11. Technological Development of Image Aesthetics Assessment

Author: Zou, Ruoyu, Xu, Jiangbo, Xue, Ziyu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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12. A Fast Domain Adaptation Network for Image Super-Resolution

Author: Zhou, Hongyang, Han, Zheng, Zheng, Wenli, Chen, Yifan, Li, Fenghai, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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13. No-Reference Image Quality Assessment via Broad Learning System

Author: Yue, Jing, liu, Guojun, Huang, Lizhuan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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14. Eye Movement Event Detection Based onPath Signature

Author: Gao, Haidong, Zhan, Yinwei, Ma, Fuyu, Chen, Zilin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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15. Corona Virus Disease (COVID-19) Detection in CT Images Using Synergic Deep Learning

Author: Gao, Yiwei, Hu, Hongjie, Liu, Huafeng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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16. Deep Learning-Based Regional Sub-models Integration for Parkinson’s Disease Diagnosis Using Diffusion Tensor Imaging

Author: Zhao, Hengling, Tsai, Chih-Chien, Zhu, Ce, Zhou, Mingyi, Wang, Jiun-Jie, Liu, Yipeng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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17. 3-D Convolutional Neural Network Driven by Dimensionality Reduction for Hyperspectral Blood Cells Classification

Author: Li, Yuan, Huang, Hong, Wu, Jian, Tang, Yiming, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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18. Bootstrap Knowledge Distillation for Chest X-ray Image Classification with Noisy Labelling

Author: Li, Minli, Xu, Jian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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19. CEID: Benchmark Dataset for Designing Segmentation Algorithms of Instruments Used in Colorectal Endoscopy

Author: Han, Wanwan, Yue, Guanghui, Duan, Lvyin, Bai, Xue, Du, Jingfeng, Zhou, Tianwei, Wang, Tianfu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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20. CAB-Net: Channel Attention Block Network for Pathological Image Cell Nucleus Segmentation

Author: Li, Meixuan, Fan, Huijie, Yang, Dawei, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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21. Data-Dependence Dual Path Network for Choroidal Neovascularization Segmentation in SD-OCT Images

Author: Ke, Jiasen, Ji, Zexuan, Chen, Qiang, Fan, Wen, Yuan, Songtao, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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22. Occluded Animal Shape and Pose Estimation from a Single Color Image

Author: Xie, Yiming, Zhao, Yunqi, Jiang, Shijian, Hu, Jiangyong, Wang, Yangang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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23. Mixup Without Hesitation

Author: Yu, Hao, Wang, Huanyu, Wu, Jianxin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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24. Object 6DoF Pose Estimation for Power Grid Manipulating Robots

Author: Du, Shan, Zhang, Xiaoye, Li, Zhongliang, Yue, Jingpeng, Zou, Qin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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25. Adversarial Attack with KD-Tree Searching on Training Set

Author: Guo, Xinghua, Jia, Fan, An, Jianqiao, Han, Yahong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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26. Cross-View Images Matching and Registration Technology Based on Deep Learning

Author: Zhou, Qing, Zhu, Ronggang, Xu, Yuelei, Zhang, Zhaoxiang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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27. Achieving Lightweight Image Steganalysis with Content-Adaptive in Spatial Domain

Author: Chen, Junfu, Fu, Zhangjie, Sun, Xingming, Li, Enlu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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28. Multi-Scale Spatial Transform Network for Atmospheric Polarization Prediction

Author: Dang, Tianyi, Liu, Yating, Gao, Xinjian, Xie, Linfang, Yan, Yuan, Chen, Qian, Gao, Jun, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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29. Hole Detection with Texture-Suppression on Wooden Plate Surfaces

Author: An, Xiaojie, Xie, Xiaohua, Chen, Xiang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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30. Illumination-Enhanced Crowd Counting Based on IC-Net in Low Lighting Conditions

Author: Zhao, Haoyu, Min, Weidong, Zou, Yi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor
Published: 2021
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31. Fast and Accurate Face Alignment Algorithm Based on Deep Knowledge Distillation

Author: Qiao, Biao, Wang, Huabin, Deng, Xiaoyu, Tao, Liang, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Wang, Yongtian, editor, Li, Xueming, editor, and Peng, Yuxin, editor
Published: 2020
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32. Automatic Detection of Cervical Cells Using Dense-Cascade R-CNN

Author: Yi, Lin, Lei, Yajie, Fan, Zhichen, Zhou, Yingting, Chen, Dan, Liu, Ran, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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33. Direction-Sensitivity Features Ensemble Network for Rotation-Invariant Face Detection

Author: Zhou, Li-Fang, Gu, Yu, Liang, Shan, Lei, Bang-Jun, Liu, Jie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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34. Deep Face Recognition Based on Penalty Cosface

Author: Lin, Shuoyan, Tang, Jianxiong, Feng, Zhanxiang, Lai, Jianhuang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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35. Residual Attention SiameseRPN for Visual Tracking

Author: Cheng, Xu, Li, Enlu, Fu, Zhangjie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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36. Automatic Classification of Sleep Stages Based on Raw Single-Channel EEG

Author: Xu, Kailin, Xia, Siyu, Li, Guang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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37. A Deep Tracking and Segmentation Approach for Soccer Videos Visual Effects

Author: Peng, Shenhui, Song, Li, Ling, Jun, Xie, Rong, Xu, Song, Li, Lin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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38. Top-Down Fusing Multi-level Contextual Features for Salient Object Detection

Author: Pan, Mingyuan, Song, Huihui, Li, Junxia, Zhang, Kaihua, Liu, Qingshan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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39. Path Aggregation and Dual Supervision Network for Scene Text Detection

Author: Feng, Shuyang, Zhang, Na, Zhao, Cairong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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40. Learning Diverse Features with Part-Level Resolution for Person Re-identification

Author: Xie, Ben, Wu, Xiaofu, Zhang, Suofei, Zhao, Shiliang, Li, Ming, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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41. Soft-Root-Sign: A New Bounded Neural Activation Function

Author: Li, Dandan, Zhou, Yuan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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42. Deep Dependency Network for Multi-label Text Classification

Author: Guo, Xiaodong, Weng, Yang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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43. Single-View 3D Shape Reconstruction with Learned Gradient Descent

Author: Zhang, Guanglun, Yang, Lu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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44. Efficient Single Shot Object Detector Towards More Accurate and Faster Prediction

Author: Qi, Shengxiang, Yang, Jiarong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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45. UDenseNet: A Universal Dense Convolutional Network for Image Recognition

Author: Wang, Liang, Zhao, Changshuang, Shao, Ling, Wu, Yihong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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46. Cloud Detection Algorithm Using Advanced Fully Convolutional Neural Networks in FY3D-MERSI Imagery

Author: Ding, Yutong, Hu, Xiuqing, He, Yuqing, Liu, Mingqi, Wang, Saijie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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47. Image Super-Resolution Based on Non-local Convolutional Neural Network

Author: Zhao, Liling, Lu, Taohui, Sun, Quansen, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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48. Position and Orientation Detection of Insulators in Arbitrary Direction Based on YOLOv3

Author: Ye, Run, Wang, Qiang, Yan, Bin, Li, Benhui, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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49. Aggregating Spatio-temporal Context for Video Object Segmentation

Author: Tao, Yu, Hu, Jian-Fang, Zheng, Wei-Shi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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50. PUI-Net: A Point Cloud Upsampling and Inpainting Network

Author: Zhao, Yifan, Xie, Jin, Qian, Jianjun, Yang, Jian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor
Published: 2020
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