Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing

Improving Reliability of Object Detection for Lunar Craters Using Monte Carlo Dropout

Pages 68-80

Myojin, Tomoyuki (et al.)

An Improved Convolutional Neural Network for Steganalysis in the Scenario of Reuse of the Stego-Key

Pages 81-92

Czaplewski, Bartosz

A New Learning-Based One Shot Detection Framework for Natural Images

Pages 93-104

Na, Sen (et al.)

Dense Receptive Field Network: A Backbone Network for Object Detection

Pages 105-118

Gao, Fei (et al.)

Referring Expression Comprehension via Co-attention and Visual Context

Pages 119-130

Gao, Youming (et al.)

Comparison Between U-Net and U-ReNet Models in OCR Tasks

Pages 131-142

Moser, Brian B. (et al.)

Severe Convective Weather Classification in Remote Sensing Images by Semantic Segmentation

Pages 143-156

Yuan, Ming (et al.)

Action Recognition Based on Divide-and-Conquer

Pages 157-167

Tan, Guanghua (et al.)

An Adaptive Feature Channel Weighting Scheme for Correlation Tracking

Pages 168-183

Zhang, Zhen (et al.)

In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning

Pages 184-186

Waibel, Dominik Jens Elias (et al.)

A Lightweight Neural Network for Hard Exudate Segmentation of Fundus Image

Pages 189-199

Guo, Song (et al.)

Attentional Residual Dense Factorized Network for Real-Time Semantic Segmentation

Pages 200-212

Yang, Lulu (et al.)

Random Drop Loss for Tiny Object Segmentation: Application to Lesion Segmentation in Fundus Images

Pages 213-224

Guo, Song (et al.)

Flow2Seg: Motion-Aided Semantic Segmentation

Pages 225-237

Li, Xiangtai (et al.)

COCO_TS Dataset: Pixel–Level Annotations Based on Weak Supervision for Scene Text Segmentation

Pages 238-250

Bonechi, Simone (et al.)

Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge Detection

Pages 253-266

Dong, Zihao (et al.)

Graph-Boosted Attentive Network for Semantic Body Parsing

Pages 267-280

Wang, Tinghuai (et al.)

A Global-Local Architecture Constrained by Multiple Attributes for Person Re-identification

Pages 281-293

Liu, Chao (et al.)

Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders

Pages 294-305

Ernst, Markus Roland (et al.)

Learning Relational-Structural Networks for Robust Face Alignment

Pages 306-316

Zhu, Congcong (et al.)

An Efficient 3D-NAS Method for Video-Based Gesture Recognition

Pages 319-329

Guo, Ziheng (et al.)

Robustness of Deep LSTM Networks in Freehand Gesture Recognition

Pages 330-343

Schak, Monika (et al.)

Delving into the Impact of Saliency Detector: A GeminiNet for Accurate Saliency Detection

Pages 347-359

Zheng, Tao (et al.)

FCN Salient Object Detection Using Region Cropping

Pages 360-370

Hua, Yikai (et al.)

Object-Level Salience Detection by Progressively Enhanced Network

Pages 371-382

Yuan, Wang (et al.)

Action Unit Assisted Facial Expression Recognition

Pages 385-396

Wang, Fangjun (et al.)

Discriminative Feature Learning Using Two-Stage Training Strategy for Facial Expression Recognition

Pages 397-408

Gan, Lei (et al.)

Action Units Classification Using ClusWiSARD

Pages 409-420

Filho, Leopoldo A. D. Lusquino (et al.)

Automatic Estimation of Dog Age: The DogAge Dataset and Challenge

Pages 421-426

Zamansky, Anna (et al.)

Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality

Pages 429-442

Pohl, Sebastian (et al.)

Variational Deep Embedding with Regularized Student-t Mixture Model

Pages 443-455

Kobayashi, Taisuke

A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach

Pages 456-471

Mirus, Florian (et al.)

Analysis of Dogs’ Sleep Patterns Using Convolutional Neural Networks

Pages 472-483

Zamansky, Anna (et al.)

On the Inability of Markov Models to Capture Criticality in Human Mobility

Pages 484-497

Kulkarni, Vaibhav (et al.)

LSTM with Uniqueness Attention for Human Activity Recognition

Pages 498-509

Zheng, Zengwei (et al.)

Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill Training

Pages 510-522

Teranishi, Masaru (et al.)

Generative Creativity: Adversarial Learning for Bionic Design

Pages 525-536

Yu, Simiao (et al.)

Self-attention StarGAN for Multi-domain Image-to-Image Translation

Pages 537-549

He, Ziliang (et al.)

Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic

Pages 550-564

Schreiber, Jens (et al.)

Constraint-Based Visual Generation

Pages 565-577

Marra, Giuseppe (et al.)

Text to Image Synthesis Based on Multiple Discrimination

Pages 578-589

Zhang, Zhiqiang (et al.)

Disentangling Latent Factors of Variational Auto-encoder with Whitening

Pages 590-603

Hahn, Sangchul (et al.)

Training Discriminative Models to Evaluate Generative Ones

Pages 604-619

Lesort, Timothée (et al.)

Scene Graph Generation via Convolutional Message Passing and Class-Aware Memory Embeddings

Pages 620-633

Zhang, Yidong (et al.)

Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders

Pages 637-648

Kalinicheva, Ekaterina (et al.)

Physical Adversarial Attacks by Projecting Perturbations

Pages 649-659

Worzyk, Nils (et al.)

Improved Forward-Backward Propagation to Generate Adversarial Examples

Pages 660-672

Hao, Yuying (et al.)

Incremental Learning of GAN for Detecting Multiple Adversarial Attacks

Pages 673-684

Yi, Zibo (et al.)

Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples

Pages 685-696

Soll, Marcus (et al.)

DCT: Differential Combination Testing of Deep Learning Systems

Pages 697-710

Wang, Chunyan (et al.)

Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection

Pages 711-723

Jiang, Jianguo (et al.)

HLR: Generating Adversarial Examples by High-Level Representations

Pages 724-730

Hao, Yuying (et al.)