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ORCID28th ICANN 2019: Munich, Germany - Part III
- Igor V. Tetko
, Vera Kurková, Pavel Karpov, Fabian J. Theis:
Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11729, Springer 2019, ISBN 978-3-030-30507-9
Image Denoising
- Jose Carranza-Rojas, Saúl Calderón Ramírez, Adán Mora-Fallas, Michael Granados-Menani, Jordina Torrents-Barrena:
Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification. 3-16 - Szabolcs Pável, Csanád Sándor, Lehel Csató:
Distortion Estimation Through Explicit Modeling of the Refractive Surface. 17-28 - Cheng Peng, Qing Xu, Yuejun Guo, Klaus Schoeffmann:
Eye Movement-Based Analysis on Methodologies and Efficiency in the Process of Image Noise Evaluation. 29-40 - Ling Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao:
IBDNet: Lightweight Network for On-orbit Image Blind Denoising. 41-52
Object Detection
- Tingyu Wei, Wenxin Hu, Xingjiao Wu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification. 55-67 - Tomoyuki Myojin, Shintaro Hashimoto, Kenji Mori, Keisuke Sugawara, Naoki Ishihama:
Improving Reliability of Object Detection for Lunar Craters Using Monte Carlo Dropout. 68-80 - Bartosz Czaplewski:
An Improved Convolutional Neural Network for Steganalysis in the Scenario of Reuse of the Stego-Key. 81-92 - Sen Na, Ruoyu Yan:
A New Learning-Based One Shot Detection Framework for Natural Images. 93-104 - Fei Gao, Chengguang Yang, Yisu Ge, Shufang Lu, Qike Shao:
Dense Receptive Field Network: A Backbone Network for Object Detection. 105-118 - Youming Gao, Yi Ji, Ting Xu, Yunlong Xu, Chunping Liu:
Referring Expression Comprehension via Co-attention and Visual Context. 119-130 - Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Comparison Between U-Net and U-ReNet Models in OCR Tasks. 131-142 - Ming Yuan, Zhilei Chai, Wenlai Zhao:
Severe Convective Weather Classification in Remote Sensing Images by Semantic Segmentation. 143-156 - Guanghua Tan, Rui Miao, Yi Xiao:
Action Recognition Based on Divide-and-Conquer. 157-167 - Zhen Zhang, Chao Wang, Xiqun Lu:
An Adaptive Feature Channel Weighting Scheme for Correlation Tracking. 168-183 - Dominik Jens Elias Waibel, Ulf Tiemann, Valerio Lupperger, Henrik Semb, Carsten Marr:
In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning. 184-186
Image Segmentation
- Song Guo, Tao Li, Kai Wang, Chan Zhang, Hong Kang:
A Lightweight Neural Network for Hard Exudate Segmentation of Fundus Image. 189-199 - Lulu Yang, Long Lan, Xiang Zhang, Xuhui Huang, Zhigang Luo:
Attentional Residual Dense Factorized Network for Real-Time Semantic Segmentation. 200-212 - Song Guo, Tao Li, Chan Zhang, Ning Li, Hong Kang, Kai Wang:
Random Drop Loss for Tiny Object Segmentation: Application to Lesion Segmentation in Fundus Images. 213-224 - Xiangtai Li, Jiangang Bai, Kuiyuan Yang, Yunhai Tong:
Flow2Seg: Motion-Aided Semantic Segmentation. 225-237 - Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation. 238-250
Occluded Object Recognition
- Zihao Dong, Ruixun Zhang, Xiuli Shao:
Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge Detection. 253-266 - Tinghuai Wang, Huiling Wang:
Graph-Boosted Attentive Network for Semantic Body Parsing. 267-280 - Chao Liu, Hongyang Quan:
A Global-Local Architecture Constrained by Multiple Attributes for Person Re-identification. 281-293 - Markus Roland Ernst, Jochen Triesch, Thomas Burwick:
Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders. 294-305 - Congcong Zhu, Xing Wang, Suping Wu, Zhenhua Yu:
Learning Relational-Structural Networks for Robust Face Alignment. 306-316
Gesture Recognition
- Ziheng Guo, Yang Chen, Wei Huang, Junhao Zhang:
An Efficient 3D-NAS Method for Video-Based Gesture Recognition. 319-329 - Monika Schak, Alexander Gepperth:
Robustness of Deep LSTM Networks in Freehand Gesture Recognition. 330-343
Saliency Detection
- Tao Zheng, Bo Li, Delu Zeng, Zhiheng Zhou:
Delving into the Impact of Saliency Detector: A GeminiNet for Accurate Saliency Detection. 347-359 - Yikai Hua, Xiaodong Gu:
FCN Salient Object Detection Using Region Cropping. 360-370 - Wang Yuan, Haichuan Song, Xin Tan, Chengwei Chen, Shouhong Ding, Lizhuang Ma:
Object-Level Salience Detection by Progressively Enhanced Network. 371-382
Perception
- Fangjun Wang, Liping Shen:
Action Unit Assisted Facial Expression Recognition. 385-396 - Lei Gan, Yuexian Zou, Can Zhang:
Discriminative Feature Learning Using Two-Stage Training Strategy for Facial Expression Recognition. 397-408 - Leopoldo Lusquino Filho, Gabriel Antoine Louis Paillard, Luiz F. R. Oliveira, Aluizio Lima Filho, Felipe M. G. França, Priscila M. V. Lima:
Action Units Classification Using ClusWiSARD. 409-420 - Anna Zamansky, Aleksandr Sinitca, Dmitry I. Kaplun, Luisa M. L. Dutra, Robert J. Young:
Automatic Estimation of Dog Age: The DogAge Dataset and Challenge. 421-426
Motion Analysis
- Sebastian Pohl, Armin Becher, Thomas Grauschopf, Cristian Axenie:
Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality. 429-442 - Taisuke Kobayashi:
Variational Deep Embedding with Regularized Student-t Mixture Model. 443-455 - Florian Mirus, Terrence C. Stewart, Chris Eliasmith, Jörg Conradt:
A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach. 456-471 - Anna Zamansky, Aleksandr Sinitca, Dmitry I. Kaplun, Michael Plazner, Ivana G. Schork, Robert J. Young, Cristiano S. de Azevedo:
Analysis of Dogs' Sleep Patterns Using Convolutional Neural Networks. 472-483 - Vaibhav Kulkarni, Abhijit Mahalunkar, Benoît Garbinato, John D. Kelleher:
On the Inability of Markov Models to Capture Criticality in Human Mobility. 484-497 - Zengwei Zheng, Lifei Shi, Chi Wang, Lin Sun, Gang Pan:
LSTM with Uniqueness Attention for Human Activity Recognition. 498-509 - Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno:
Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill Training. 510-522
Generating Images
- Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo:
Generative Creativity: Adversarial Learning for Bionic Design. 525-536 - Ziliang He, Zhenguo Yang, Xudong Mao, Jianming Lv, Qing Li, Wenyin Liu:
Self-attention StarGAN for Multi-domain Image-to-Image Translation. 537-549 - Jens Schreiber, Maik Jessulat, Bernhard Sick:
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. 550-564 - Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Constraint-Based Visual Generation. 565-577 - Zhiqiang Zhang, Yunye Zhang, Wenxin Yu, Jingwei Lu, Li Nie, Gang He, Ning Jiang, Gang He, Yibo Fan, Zhuo Yang:
Text to Image Synthesis Based on Multiple Discrimination. 578-589 - Sangchul Hahn, Heeyoul Choi:
Disentangling Latent Factors of Variational Auto-encoder with Whitening. 590-603 - Timothée Lesort, Andrei Stoian, Jean-François Goudou, David Filliat:
Training Discriminative Models to Evaluate Generative Ones. 604-619 - Yidong Zhang, Yunhong Wang, Yuanfang Guo:
Scene Graph Generation via Convolutional Message Passing and Class-Aware Memory Embeddings. 620-633
Attacks on Images
- Ekaterina Kalinicheva, Jérémie Sublime, Maria Trocan:
Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders. 637-648 - Nils Worzyk, Hendrik Kahlen, Oliver Kramer:
Physical Adversarial Attacks by Projecting Perturbations. 649-659 - Yuying Hao, Tuanhui Li, Yang Bai, Li Li, Yong Jiang, Xuanye Cheng:
Improved Forward-Backward Propagation to Generate Adversarial Examples. 660-672 - Zibo Yi, Jie Yu, Shasha Li, Yusong Tan, Qingbo Wu:
Incremental Learning of GAN for Detecting Multiple Adversarial Attacks. 673-684 - Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter:
Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples. 685-696 - Chunyan Wang, Weimin Ge, Xiaohong Li, Zhiyong Feng:
DCT: Differential Combination Testing of Deep Learning Systems. 697-710 - Jianguo Jiang, Boquan Li, Min Yu, Chao Liu, Weiqing Huang, Lejun Fan, Jianfeng Xia:
Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection. 711-723 - Yuying Hao, Tuanhui Li, Li Li, Yong Jiang, Xuanye Cheng:
HLR: Generating Adversarial Examples by High-Level Representations. 724-730
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