Abstract is missing.
- Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image ClassificationJose Carranza-Rojas, Saúl Calderón Ramírez, Adán Mora-Fallas, Michael Granados-Menani, Jordina Torrents-Barrena. 3-16 [doi]
- Distortion Estimation Through Explicit Modeling of the Refractive SurfaceSzabolcs Pável, Csanád Sándor, Lehel Csató. 17-28 [doi]
- Eye Movement-Based Analysis on Methodologies and Efficiency in the Process of Image Noise EvaluationCheng Peng, Qing Xu 0002, Yuejun Guo, Klaus Schoeffmann. 29-40 [doi]
- IBDNet: Lightweight Network for On-orbit Image Blind DenoisingLing Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao. 41-52 [doi]
- Aggregating Rich Deep Semantic Features for Fine-Grained Place ClassificationTingyu Wei, Wenxin Hu, Xingjiao Wu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He 0001. 55-67 [doi]
- Improving Reliability of Object Detection for Lunar Craters Using Monte Carlo DropoutTomoyuki Myojin, Shintaro Hashimoto, Kenji Mori, Keisuke Sugawara, Naoki Ishihama. 68-80 [doi]
- An Improved Convolutional Neural Network for Steganalysis in the Scenario of Reuse of the Stego-KeyBartosz Czaplewski. 81-92 [doi]
- A New Learning-Based One Shot Detection Framework for Natural ImagesSen Na, Ruoyu Yan. 93-104 [doi]
- Dense Receptive Field Network: A Backbone Network for Object DetectionFei Gao 0014, Chengguang Yang, Yisu Ge, Shufang Lu, Qike Shao. 105-118 [doi]
- Referring Expression Comprehension via Co-attention and Visual ContextYouming Gao, Yi Ji 0001, Ting Xu, Yunlong Xu, Chunping Liu. 119-130 [doi]
- Comparison Between U-Net and U-ReNet Models in OCR TasksBrian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel 0001. 131-142 [doi]
- Severe Convective Weather Classification in Remote Sensing Images by Semantic SegmentationMing Yuan, ZhiLei Chai, Wenlai Zhao. 143-156 [doi]
- Action Recognition Based on Divide-and-ConquerGuanghua Tan, Rui Miao, Yi Xiao. 157-167 [doi]
- An Adaptive Feature Channel Weighting Scheme for Correlation TrackingZhen Zhang, Chao Wang, Xiqun Lu. 168-183 [doi]
- In-Silico Staining from Bright-Field and Fluorescent Images Using Deep LearningDominik Jens Elias Waibel, Ulf Tiemann, Valerio Lupperger, Henrik Semb, Carsten Marr. 184-186 [doi]
- A Lightweight Neural Network for Hard Exudate Segmentation of Fundus ImageSong Guo, Tao Li 0022, Kai Wang 0001, Chan Zhang, Hong Kang. 189-199 [doi]
- Attentional Residual Dense Factorized Network for Real-Time Semantic SegmentationLulu Yang, Long Lan, Xiang Zhang 0008, Xuhui Huang, Zhigang Luo. 200-212 [doi]
- Random Drop Loss for Tiny Object Segmentation: Application to Lesion Segmentation in Fundus ImagesSong Guo, Tao Li 0022, Chan Zhang, Ning Li, Hong Kang, Kai Wang 0001. 213-224 [doi]
- Flow2Seg: Motion-Aided Semantic SegmentationXiangtai Li, Jiangang Bai, Kuiyuan Yang, Yunhai Tong. 225-237 [doi]
- COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text SegmentationSimone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli. 238-250 [doi]
- Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge DetectionZihao Dong, Ruixun Zhang, Xiuli Shao. 253-266 [doi]
- Graph-Boosted Attentive Network for Semantic Body ParsingTinghuai Wang, Huiling Wang. 267-280 [doi]
- A Global-Local Architecture Constrained by Multiple Attributes for Person Re-identificationChao Liu, Hongyang Quan. 281-293 [doi]
- Recurrent Connections Aid Occluded Object Recognition by Discounting OccludersMarkus Roland Ernst, Jochen Triesch, Thomas Burwick. 294-305 [doi]
- Learning Relational-Structural Networks for Robust Face AlignmentCongcong Zhu, Xing Wang, Suping Wu, Zhenhua Yu. 306-316 [doi]
- An Efficient 3D-NAS Method for Video-Based Gesture RecognitionZiheng Guo, Yang Chen, Wei Huang, Junhao Zhang. 319-329 [doi]
- Robustness of Deep LSTM Networks in Freehand Gesture RecognitionMonika Schak, Alexander Gepperth. 330-343 [doi]
- Delving into the Impact of Saliency Detector: A GeminiNet for Accurate Saliency DetectionTao Zheng, Bo Li, Delu Zeng, Zhiheng Zhou. 347-359 [doi]
- FCN Salient Object Detection Using Region CroppingYikai Hua, Xiaodong Gu. 360-370 [doi]
- Object-Level Salience Detection by Progressively Enhanced NetworkWang Yuan, Haichuan Song, Xin Tan, Chengwei Chen, Shouhong Ding, Lizhuang Ma. 371-382 [doi]
- Action Unit Assisted Facial Expression RecognitionFangjun Wang, Liping Shen. 385-396 [doi]
- Discriminative Feature Learning Using Two-Stage Training Strategy for Facial Expression RecognitionLei Gan, Yuexian Zou, Can Zhang. 397-408 [doi]
- Action Units Classification Using ClusWiSARDLeopoldo Lusquino Filho, Gabriel Antoine Louis Paillard, Luiz Oliveira, Aluizio Lima Filho, Felipe M. G. França, Priscila M. V. Lima. 409-420 [doi]
- Automatic Estimation of Dog Age: The DogAge Dataset and ChallengeAnna Zamansky, Aleksandr Sinitca, Dmitry I. Kaplun, Luisa M. L. Dutra, Robert J. Young. 421-426 [doi]
- Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual RealitySebastian Pohl, Armin Becher, Thomas Grauschopf, Cristian Axenie. 429-442 [doi]
- Variational Deep Embedding with Regularized Student-t Mixture ModelTaisuke Kobayashi. 443-455 [doi]
- A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning ApproachFlorian Mirus, Terrence C. Stewart, Chris Eliasmith, Jörg Conradt. 456-471 [doi]
- Analysis of Dogs' Sleep Patterns Using Convolutional Neural NetworksAnna Zamansky, Aleksandr Sinitca, Dmitry I. Kaplun, Michael Plazner, Ivana G. Schork, Robert J. Young, Cristiano S. de Azevedo. 472-483 [doi]
- On the Inability of Markov Models to Capture Criticality in Human MobilityVaibhav Kulkarni, Abhijit Mahalunkar, Benoît Garbinato, John D. Kelleher. 484-497 [doi]
- LSTM with Uniqueness Attention for Human Activity RecognitionZengwei Zheng, Lifei Shi, Chi Wang, Lin Sun, Gang Pan. 498-509 [doi]
- Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill TrainingMasaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno. 510-522 [doi]
- Generative Creativity: Adversarial Learning for Bionic DesignSimiao Yu, Hao Dong 0003, Pan Wang, Chao Wu 0001, Yike Guo. 525-536 [doi]
- Self-attention StarGAN for Multi-domain Image-to-Image TranslationZiliang He, Zhenguo Yang, Xudong Mao, Jianming Lv, Qing Li 0001, Wenyin Liu. 537-549 [doi]
- Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and PhotovoltaicJens Schreiber, Maik Jessulat, Bernhard Sick. 550-564 [doi]
- Constraint-Based Visual GenerationGiuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori. 565-577 [doi]
- Text to Image Synthesis Based on Multiple DiscriminationZhiqiang Zhang, Yunye Zhang, Wenxin Yu, Jingwei Lu, Li Nie, Gang He 0001, Ning Jiang, Gang He 0002, Yibo Fan, Zhuo Yang. 578-589 [doi]
- Disentangling Latent Factors of Variational Auto-encoder with WhiteningSangchul Hahn, Heeyoul Choi. 590-603 [doi]
- Training Discriminative Models to Evaluate Generative OnesTimothée Lesort, Andrei Stoian, Jean-François Goudou, David Filliat. 604-619 [doi]
- Scene Graph Generation via Convolutional Message Passing and Class-Aware Memory EmbeddingsYidong Zhang, Yunhong Wang, Yuanfang Guo. 620-633 [doi]
- Change Detection in Satellite Images Using Reconstruction Errors of Joint AutoencodersEkaterina Kalinicheva, Jérémie Sublime, Maria Trocan. 637-648 [doi]
- Physical Adversarial Attacks by Projecting PerturbationsNils Worzyk, Hendrik Kahlen, Oliver Kramer. 649-659 [doi]
- Improved Forward-Backward Propagation to Generate Adversarial ExamplesYuying Hao, Tuanhui Li, Yang Bai, Li Li, Yong Jiang, Xuanye Cheng. 660-672 [doi]
- Incremental Learning of GAN for Detecting Multiple Adversarial AttacksZibo Yi, Jie Yu 0006, Shasha Li, Yusong Tan, Qingbo Wu. 673-684 [doi]
- Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial ExamplesMarcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter. 685-696 [doi]
- DCT: Differential Combination Testing of Deep Learning SystemsChunyan Wang 0019, Weimin Ge, Xiaohong Li, Zhiyong Feng. 697-710 [doi]
- Restoration as a Defense Against Adversarial Perturbations for Spam Image DetectionJianguo Jiang, Boquan Li, Min Yu, Chao Liu, Weiqing Huang, Lejun Fan, Jianfeng Xia. 711-723 [doi]
- HLR: Generating Adversarial Examples by High-Level RepresentationsYuying Hao, Tuanhui Li, Li Li, Yong Jiang, Xuanye Cheng. 724-730 [doi]