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ORCID24th ICPR 2018: Beijing, China
- 24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-3788-3
- Jian Ding, Zhen Zhu
, Gui-Song Xia, Xiang Bai, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18). 1-6 - Mengchao He, Yuliang Liu, Zhibo Yang, Sheng Zhang, Canjie Luo, Feiyu Gao, Qi Zheng, Yongpan Wang, Xin Zhang, Lianwen Jin:
ICPR2018 Contest on Robust Reading for Multi-Type Web Images. 7-12 - Chloé Artaud, Nicolas Sidere, Antoine Doucet, Jean-Marc Ogier, Vincent Poulain D'Andecy:
Find it! Fraud Detection Contest Report. 13-18 - Felix Trusheim, Alexandru Condurache, Alfred Mertins:
Boosting Black-Box Variational Inference by Incorporating the Natural Gradient. 19-24 - Wangwang Liu, Xianghua Fu:
Introduce More Characteristics of Samples into Cross-domain Sentiment Classification. 25-30 - Yuechi Jiang, Frank Hung-Fat Leung:
Discriminative Collaborative Representation and Its Application to Audio Signal Classification. 31-36 - Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu:
Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. 37-42 - Yanhong Bi, Bin Fan, Fuchao Wu:
Cayley- Klein Metric Learning with Shrinkage-Expansion Constraints. 43-48 - Dheeraj Bhaskaruni, Fiona Patricia Moss, Chao Lan:
Estimating Prediction Qualities without Ground Truth: A Revisit of the Reverse Testing Framework. 49-54 - Jiabin Ma, Weiyu Guo, Wei Wang, Liang Wang:
RotateConv: Making Asymmetric Convolutional Kernels Rotatable. 55-60 - Franco Manessi, Alessandro Rozza:
Learning Combinations of Activation Functions. 61-66 - Jiagang Zhu, Wei Zou, Zheng Zhu:
Learning Evasion Strategy in Pursuit-Evasion by Deep Q-network. 67-72 - Hongjiang Shi, Lu Wang, Guangtai Ding, Fenglei Yang, Xiaoqiang Li:
Data Augmentation with Improved Generative Adversarial Networks. 73-78 - Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu:
Artsy-GAN: A style transfer system with improved quality, diversity and performance. 79-84 - Luojun Lin, Lingyu Liang, Lianwen Jin:
R2-ResNeXt: A ResNeXt-Based Regression Model with Relative Ranking for Facial Beauty Prediction. 85-90 - Guangyun Han, Xiaohua Xie, Wei-Shi Zheng, Jianhuang Lai:
Learning Intrinsic Image Decomposition by Deep Neural Network with Perceptual Loss. 91-96 - Anirban Roy, Sinisa Todorovic:
Learning to Learn Second-Order Back-Propagation for CNNs Using LSTMs. 97-102 - Sung-Kwon Choo, Wonkyo Seo, Dong-ju Jeong, Nam Ik Cho:
Multi-scale Recurrent Encoder-Decoder Network for Dense Temporal Classification. 103-108 - Antonio Robles-Kelly, Ran Wei:
A Convolutional Neural Network for Pixelwise Illuminant Recovery in Colour and Spectral Images. 109-114 - Miaopeng Li, Zimeng Zhou, Jie Li, Xinguo Liu:
Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint. 115-120 - Federico Bolelli, Lorenzo Baraldi, Michele Cancilla, Costantino Grana:
Connected Components Labeling on DRAGs. 121-126 - Tao Huang, Fangfang Wu, Weisheng Dong, Guangming Shi, Xin Li:
Lightweight Deep Residue Learning for Joint Color Image Demosaicking and Denoising. 127-132 - Zhigang Ling, Xiuxin Li, Wen Zou, Min Liu:
Joint Haze-relevant Features Selection and Transmission Estimation via Deep Belief Network for Efficient Single Image Dehazing. 133-139 - Pramuditha Perera, Mahdi Abavisani, Vishal M. Patel:
In2I: Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks. 140-146 - Xi Cheng, Xiang Li, Jian Yang, Ying Tai:
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks. 147-152 - Huanjing Yue, Shengdi Zhou, Jingyu Yang, Xiaoyan Sun, Chunping Hou:
Deep Joint Noise Estimation and Removal for High ISO JPEG Images. 153-158 - Jianbo Zhang, Jinkuan Wang:
Linear Discriminative Sparsity Preserving Projections for Dimensionality Reduction. 159-164 - Wenchao Xu, Yuxin Pang, Yanqin Yang, Yanbo Liu:
Human Activity Recognition Based On Convolutional Neural Network. 165-170 - Yamei Zhu, Lin Zhang:
A Comprehensive Study on Upper-Body Detection with Deep Neural Networks. 171-176 - Chu-Chao He, Xiao-Guang Gao, Zhi-gao Guo:
Structure Learning of Bayesian Networks by Finding the Optimal Ordering. 177-182 - Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig:
Precision Learning: Towards Use of Known Operators in Neural Networks. 183-188 - Vijay John, Nithilan Meenakshi Karunakaran, Chunzhao Guo, Kiyosumi Kidono, Seiichi Mita:
Free Space, Visible and Missing Lane Marker Estimation using the PsiNet and Extra Trees Regression. 189-194 - Punit Rathore, James C. Bezdek, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Approximate Cluster Heat Maps of Large High-Dimensional Data. 195-200 - Chao Chen, Xiao Lin, Gabriel Terejanu:
An Approximate Bayesian Long Short- Term Memory Algorithm for Outlier Detection. 201-206 - Gan Sun, Yang Cong, Qiang Wang, Xiaowei Xu:
Online Low-Rank Metric Learning via Parallel Coordinate Descent Method. 207-212 - Xiaohui Luo, Li Zhang, Fanzhang Li, Bangjun Wang:
Graph Embedding-Based Ensemble Learning for Image Clustering. 213-218 - Yu Liu, Yanming Guo, Wei Chen, Michael S. Lew:
An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation. 219-224 - Yirui Wu, Weigang Xu, Jun Feng, Shivakumara Palaiahnakote, Tong Lu:
Local and Global Bayesian Network based Model for Flood Prediction. 225-230 - Hongwei Yin, Fanzhang Li, Li Zhang:
Multi-Source Clustering based on spectral recovery. 231-236 - Hui-Rang Hou, Qing-Hao Meng, Xiao-Nei Zhang:
A Voting-Near-Extreme-Learning-Machine Classification Algorithm. 237-241 - Chunping Zhang, Yong Feng, Baohua Qiang, Jiaxing Shang:
Wasserstein Generative Recurrent Adversarial Networks for Image Generating. 242-247 - Shiyang Yan, Fangyu Wu, Jeremy S. Smith, Wenjin Lu, Bailing Zhang:
Image Captioning using Adversarial Networks and Reinforcement Learning. 248-253 - Hideaki Uchiyama, Yuji Oyamada:
Transparent Random Dot Markers. 254-259 - Wei Lu, Fu-Lai Chung:
A Deep Graphical Model for Layered Knowledge Transfer. 260-265 - Xin Xu, Wei Wang:
Target Group Distribution Pattern Discovery via Convolutional Neural Network. 266-271 - Chitung Yip, Haifeng Hu:
Grouped Multi-Task CNN for Facial Attribute Recognition. 272-277 - Fangyu Wu, Shiyang Yan, Jeremy S. Smith, Bailing Zhang:
Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification. 278-283 - Yongming Han, Shuheng Zhang, Zhiqiang Geng:
Multi-Frequency Decomposition with Fully Convolutional Neural Network for Time Series Classification. 284-289 - Zhiqiang Geng, Zhongkun Li, Yongming Han:
A Novel Asymmetric Embedding Model for Knowledge Graph Completion. 290-295 - Jinghao Niu, Zhengya Sun, Wensheng Zhang:
Enhancing Knowledge Graph Completion with Positive Unlabeled Learning. 296-301 - Mahammad Humayoo, Xueqi Cheng:
Model-free Knockoffs for SLOPE-Adaptive Variable Selection with Controlled False Discovery Rate. 302-307 - Cherdsak Kingkan, Koichi Hashimoto:
Generating Mesh-based Shapes From Learned Latent Spaces of Point Clouds with VAE-GAN. 308-313 - Guangliang Chen:
Scalable spectral clustering with cosine similarity. 314-319 - Jiyeoup Jeong, Hawook Jeong, Jongin Lim, Jongwon Choi, Sangdoo Yun, Jin Young Choi:
Selective Ensemble Network for Accurate Crowd Density Estimation. 320-325 - Shuang Yang, Bo Yang:
Enhanced Network Embedding with Text Information. 326-331 - Kien Do, Truyen Tran, Svetha Venkatesh:
Knowledge Graph Embedding with Multiple Relation Projections. 332-337 - Zhen Yang, Wei Chen, Feng Wang, Bo Xu:
Unsupervised Domain Adaptation for Neural Machine Translation. 338-343 - Fábio Augusto Faria, Sudeep Sarkar:
A Graph-based Approach for Static Ensemble Selection in Remote Sensing Image Analysis. 344-349 - Mohammad Tavakolian, Abdenour Hadid:
Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation. 350-354 - Wu Zheng, Zhaoxiang Zhang:
Accelerating the Classification of Very Deep Convolutional Network by A Cascading Approach. 355-360 - Dawei Cheng, Zhibin Niu, Yi Tu, Liqing Zhang:
Prediction Defaults for Networked-guarantee Loans. 361-366 - Jing Li, Yihao Zhong, Gaoxiang Ouyang:
Identification of ASD Children based on Video Data. 367-372 - Xiaohu Zhang, Yuexian Zou, Wenwu Wang:
LD-CNN: A Lightweight Dilated Convolutional Neural Network for Environmental Sound Classification. 373-378 - Binling Nie, Shouqian Sun:
Joint Knowledge Base Embedding with Neighborhood Context. 379-384 - Guoqiang Wu, Yingjie Tian, Dalian Liu:
Privileged Multi-Target Support Vector Regression. 385-390 - Shuning Huang, Li Zhang, Fanzhang Li:
Spectral Embedded Clustering on Multi-Manifold. 391-396 - Cunbin Gui, Jiani Hu:
Unsupervised Domain Adaptation by regularizing Softmax Activation. 397-402 - Zhili Ye, Yang Du, Fengge Wu:
Graph-based Semi-supervised Classification with CRF and RNN. 403-408 - Lixin Fan:
Deep Epitome for Unravelling Generalized Hamming Network. 409-416 - Baolin Guo, Chenping Hou, Jincheng Shan, Dongyun Yi:
Low Rank Multi-Label Classification with Missing Labels. 417-422 - Fazil Altinel, Mete Ozay, Takayuki Okatani:
Deep Structured Energy-Based Image Inpainting. 423-428 - Yuanyuan Chang, Xiaofu Wu, Suofei Zhang:
Piecewise Linear Units for Fast Self-Normalizing Neural Networks. 429-434 - Marc T. Law, Paul Weng:
Representing Relative Visual Attributes with a Reference-Point-Based Decision Model. 435-440 - Tao Yu, Huan Long, John E. Hopcroft:
Curvature-based Comparison of Two Neural Networks. 441-447 - Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Directed Graph Evolution from Euler-Lagrange Dynamics. 448-453 - Mengxin Sun, KunHong Liu, Qingqi Hong, Beizhan Wang:
A New ECOC Algorithm for Multiclass Microarray Data Classification. 454-458 - JunJun Pan, Michael K. Ng, Xiongjun Zhang:
Structured Convex Optimization Method for Orthogonal Nonnegative Matrix Factorization. 459-464 - Fadi Dornaika, Youssof El Traboulsi, Ruifeng Zhu:
Robust and Flexible Graph-based Semi-supervised Embedding. 465-470 - Jian Ma, Kun Li, Yahong Han, Jingyu Yang:
Image-based Air Pollution Estimation Using Hybrid Convolutional Neural Network. 471-476 - Yunlong Che, Yue Qi:
Dynamic Projected Segmentation Networks For Hand Pose Estimation. 477-482 - Xiang Li, Wei Li, Xiaodong Xu, Qian Du:
CascadeNet: Modified ResNet with Cascade Blocks. 483-488 - Kangkang Lu, Ying Sun, Sim Heng Ong:
Dual-Resolution U-Net: Building Extraction from Aerial Images. 489-494 - Zhenni Cai, Qingshan Liu, Shanmin Wang, Bruce Yang:
Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment. 495-500 - Xianghui Luo, Robert J. Durrant:
Maximum Gradient Dimensionality Reduction. 501-506 - Kun Zeng, Hong Zheng, Yanyun Qu, Xiaobo Qu, Lijun Bao, Zhong Chen:
Single Image Super-Resolution With Learning Iteratively Non-Linear Mapping Between Low- and High-Resolution Sparse Representations. 507-512 - Yixue Wang, Xinyang Bing, Liying Zheng, Shuo Zhao:
Generating Facial Line-drawing with Convolutional Neural Networks. 513-516 - Bertil Grelsson, Michael Felsberg:
Improved Learning in Convolutional Neural Networks with Shifted Exponential Linear Units (ShELUs). 517-522 - Fernando Moya Rueda, Gernot A. Fink:
Learning Attribute Representation for Human Activity Recognition. 523-528 - Liang Zhang, Xiangwen Kong, Peiyi Shen, Guangming Zhu, Juan Song, Syed Afaq Ali Shah, Mohammed Bennamoun:
Reflective Field for Pixel-Level Tasks. 529-534 - Jie Wen, Lunke Fei, Zhihui Lai, Zheng Zhang, Jian Wu, Xiaozhao Fang:
Adaptive Locality Preserving based Discriminative Regression. 535-540 - Yu Zhou, Jianxiang Ma, Anlong Ming, Xiang Bai:
Learning Training Samples for Occlusion Edge Detection and Its Application in Depth Ordering Inference. 541-546 - Ran Cui, Aichun Zhu, Sai Zhang, Gang Hua:
Multi-source Learning for Skeleton -based Action Recognition Using Deep LSTM Networks. 547-552 - Ries Uittenbogaard, Clint Sebastian, Julien A. Vijverberg, Bas Boom, Peter H. N. de With:
Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery. 553-559 - Luis Claudio Sugi Afonso, Daniel Carlos Guimarães Pedronette, André N. de Souza, João Paulo Papa:
Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. 560-565 - Hajar Sadeghi Sokeh, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Superframes, A Temporal Video Segmentation. 566-571 - Pep Santacruz, Francesc Serratosa:
Graph Edit Distance Testing through Synthetic Graphs Generation. 572-577 - Jiazhong Lu, Fengmao Lv, Quan-Hui Liu, Malu Zhang, Xiaosong Zhang:
Botnet Detection based on Fuzzy Association Rules. 578-584 - Yuanhang Su, Yuzhong Huang, C.-C. Jay Kuo:
Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis. 585-590 - Vitaliy Tayanov, Adam Krzyzak, Ching Y. Suen:
Prediction-based classification using learning on Riemannian manifolds. 591-596 - Jiagang Zhu, Wei Zou, Zheng Zhu:
Two-Stream Gated Fusion ConvNets for Action Recognition. 597-602 - Gangming Zhao, Zhaoxiang Zhang, He Guan, Peng Tang, Jingdong Wang:
Rethinking ReLU to Train Better CNNs. 603-608 - Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung:
Bayesian Multi-Hyperplane Machine for Pattern Recognition. 609-614 - Yuchun Fang, Qiulong Yuan, Wei Zhang, Zhaoxiang Zhang:
Diversified Dual Domain-Adversarial Neural Networks. 615-620 - Yulin Sun, Zhao Zhang, Weiming Jiang, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations. 621-626 - Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler:
Multiple Manifolds Metric Learning with Application to Image Set Classification. 627-632 - Lei Xiao, Zengfu Wang:
Dense Convolutional Recurrent Neural Network for Generalized Speech Animation. 633-638 - Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. 639-644 - Jiagang Zhu, Zheng Zhu, Wei Zou:
End-to-end Video-level Representation Learning for Action Recognition. 645-650 - Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler:
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification. 651-656 - Franco Manessi, Alessandro Rozza, Simone Bianco, Paolo Napoletano, Raimondo Schettini:
Automated Pruning for Deep Neural Network Compression. 657-664 - Le Zhang, Xiang Li, Ji Xiang, Ying Qi:
LHONE: Label Homophily Oriented Network Embedding. 665-670 - Hang Li, Xinzi He, Zhen Yu, Feng Zhou, Jie-Zhi Cheng, Limin Huang, Tianfu Wang, Baiying Lei:
Skin Lesion Segmentation via Dense Connected Deconvolutional Network. 671-675 - Ping Yu, Kaitao Song, Jianfeng Lu:
Generating Adversarial Examples With Conditional Generative Adversarial Net. 676-681 - Hongpo Zhang, Chase Q. Wu, Shan Gao, Zongmin Wang, Yuxiao Xu, Yongpeng Liu:
An Effective Deep Learning Based Scheme for Network Intrusion Detection. 682-687 - Xinlong Liu, Bokun He, Chu He:
Lifting Scheme Based Deep Network Model for Remote Sensing Imagery Classification. 688-693 - Yulong Wang, Cuiming Zou, Yuan Yan Tang, Luoqing Li:
Cauchy Matching Pursuit for Robust Sparse Representation and Classification. 694-698