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ORCID30th ICANN 2021: Bratislava, Slovakia - Part III
- Igor Farkas
, Paolo Masulli, Sebastian Otte, Stefan Wermter:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12893, Springer 2021, ISBN 978-3-030-86364-7
Generative Neural Networks
- Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz:
Binding and Perspective Taking as Inference in a Generative Neural Network Model. 3-14 - David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Advances in Password Recovery Using Generative Deep Learning Techniques. 15-27 - Siwei Lu, Di Luo, Zhenguo Yang, Tianyong Hao, Qing Li, Wenyin Liu:
Dilated Residual Aggregation Network for Text-Guided Image Manipulation. 28-40 - Ting Hu, Haojin Yang, Christoph Meinel:
Denoising AutoEncoder Based Delete and Generate Approach for Text Style Transfer. 41-52 - Zhen Feng, Jiaqi Fang, Bo Cai, Yingtao Zhang:
GUIS2Code: A Computer Vision Tool to Generate Code Automatically from Graphical User Interface Sketches. 53-65 - Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang:
Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement. 66-79 - Kristína Malinovská, Igor Farkas:
Generative Properties of Universal Bidirectional Activation-Based Learning. 80-83
Graph Neural Networks I
- Ruoran Huang, Chuanqi Han, Li Cui:
Joint Graph Contextualized Network for Sequential Recommendation. 87-100 - Wentao Wang, Huifang Ma, Yan Zhao, Zhixin Li, Xiangchun He:
Relevance-Aware Q-matrix Calibration for Knowledge Tracing. 101-112 - Weiguang Jiang, Su Wang, Jun Zheng, Wenxin Hu:
LGACN: A Light Graph Adaptive Convolution Network for Collaborative Filtering. 113-126 - Peng Xu, Youyi Zhang, Claudia Eckert, Apostolis Zarras:
HawkEye: Cross-Platform Malware Detection with Representation Learning on Graphs. 127-138 - Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis:
An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks. 139-150 - Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer:
Multi-resolution Graph Neural Networks for PDE Approximation. 151-163 - Thanh Le, Ngoc Huynh, Bac Le:
Link Prediction on Knowledge Graph by Rotation Embedding on the Hyperplane in the Complex Vector Space. 164-175
Graph Neural Networks II
- Kai Chen, Ye Wang, Yitong Li, Aiping Li, Xiaojuan Zhao:
Contextualise Entities and Relations: An Interaction Method for Knowledge Graph Completion. 179-191 - Zheng Chen, Yifan Wang:
Civil Unrest Event Forecasting Using Graphical and Sequential Neural Networks. 192-203 - Tuan Le, Marco Bertolini, Frank Noé, Djork-Arné Clevert:
Parameterized Hypercomplex Graph Neural Networks for Graph Classification. 204-216 - Yongli Hu, Feili Gao, Yanfeng Sun, Junbin Gao, Baocai Yin:
Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval. 217-229 - Wenzheng Zhang, Jie Liu, Liting Liu:
Generalizing Message Passing Neural Networks to Heterophily Using Position Information. 230-242 - Zikai Gao, Yang Zhao, Zhe Han, Kang Wang, Yong Dou:
Local and Non-local Context Graph Convolutional Networks for Skeleton-Based Action Recognition. 243-254 - Mengting Zhu, Xianqiang Zhu, Cheng Zhu:
STGATP: A Spatio-Temporal Graph Attention Network for Long-Term Traffic Prediction. 255-266
Hierarchical and Ensemble Models
- Pengyuan Chen, Kai Ye, Xiaohui Cui:
Integrating N-Gram Features into Pre-trained Model: A Novel Ensemble Model for Multi-target Stance Detection. 269-279 - Fei Gao, Liu Yang:
Hierarchical Ensemble for Multi-view Clustering. 280-292 - Changxiang He, Shuting Liu, Ying Zhao, Xiaofei Qin, Jiayuan Zeng, Xuedian Zhang:
Structure-Aware Multi-scale Hierarchical Graph Convolutional Network for Skeleton Action Recognition. 293-304 - Caiyuan Li, Qinyi Du, Qingqing Wang, Yaohui Jin:
Learning Hierarchical Reasoning for Text-Based Visual Question Answering. 305-316 - Nick Taubert, Martin A. Giese:
Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation. 317-329 - Nelly David, Nathan S. Netanyahu:
Adaptive Consensus-Based Ensemble for Improved Deep Learning Inference Cost. 330-339
Human Pose Estimation
- Yuchen Ge, Zhongqiu Zhao, Yao Gao, Weidong Tian, Hai Min:
Multi-Branch Network for Small Human Pose Estimation. 343-355 - Zhijie Cao, Min Wang, Shanyan Guan, Wentao Liu, Chen Qian, Lizhuang Ma:
PNO: Personalized Network Optimization for Human Pose and Shape Reconstruction. 356-367 - Zhiwei Yuan, Songlin Du:
JointPose: Jointly Optimizing Evolutionary Data Augmentation and Prediction Neural Network for 3D Human Pose Estimation. 368-379 - Bruno Carlos Dos Santos Melício, Gábor Baranyi, Zsófia Gaál, Sohil Zidan, András Lorincz:
DeepRehab: Real Time Pose Estimation on the Edge for Knee Injury Rehabilitation. 380-391
Image Processing
- Yanlin Zhang, Ding Qin, Xiaodong Gu:
Subspace Constraint for Single Image Super-Resolution. 395-407 - Lei Luo, William H. Hsu, Shangxian Wang:
Towards Fine-Grained Control over Latent Space for Unpaired Image-to-Image Translation. 408-420 - Xiangyu Yin, Xiaohong Liu, Huan Liu:
FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset. 421-432 - Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber:
Towards Measuring Bias in Image Classification. 433-445 - Hengwei Liu, Jinyu Ma, Xiaodong Gu:
Towards Image Retrieval with Noisy Labels via Non-deterministic Features. 446-456
Image Segmentation
- Viet-Quoc Pham, Nao Mishima, Toshiaki Nakasu:
Improving Visual Question Answering by Semantic Segmentation. 459-470 - Patrick P. K. Chan, Keke Chen, Linyi Xu, Xiaoman Hu, Daniel S. Yeung:
Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement. 471-482 - Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues:
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. 483-494 - Gang Yang, Yunfeng Du, Yanni Wang, Donghong Li, Dayong Ding, Jingyuan Yang, Gangwei Cheng:
Depth Mapping Hybrid Deep Learning Method for Optic Disc and Cup Segmentation on Stereoscopic Ocular Fundus. 495-506 - László Kopácsi, Árpád Dobolyi, Áron Fóthi, Dávid Keller, Viktor Varga, András Lorincz:
RATS: Robust Automated Tracking and Segmentation of Similar Instances. 507-518
Knowledge Distillation
- Yuheng Song, Tianyi Liu, Weijia Jia:
Data Diversification Revisited: Why Does It Work? 521-533 - Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas:
A Generalized Meta-loss Function for Distillation Based Learning Using Privileged Information for Classification and Regression. 534-545 - Het Shah, Ashwin Vaswani, Tirtharaj Dash, Ramya Hebbalaguppe, Ashwin Srinivasan:
Empirical Study of Data-Free Iterative Knowledge Distillation. 546-557 - Xuan Tang, Tong Lin:
Adversarial Variational Knowledge Distillation. 558-569 - Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu:
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation. 570-581
Medical Image Processing
- Kaimin Liao, Ziyu Gan, Xuan Yang:
Semi-supervised Learning Based Right Ventricle Segmentation Using Deep Convolutional Boltzmann Machine Shape Model. 585-597 - Xinyu Cao, Jiawei Zheng, Zhe Liu, Peilin Jiang, Dengfeng Gao, Rong Ma:
Improved U-Net for Plaque Segmentation of Intracoronary Optical Coherence Tomography Images. 598-609 - Chunguang Jiang, Yueling Zhang, Jiangtao Wang, Weiting Chen:
Approximated Masked Global Context Network for Skin Lesion Segmentation. 610-622 - Xiaofei Qin, Yan Liu, Liang Tang, Shuhui Zhao, Xingchen Zhou, Xuedian Zhang, Dengbin Wang:
DSNet: Dynamic Selection Network for Biomedical Image Segmentation. 623-634 - Richard Gault, Philip J. Vance, T. Martin McGinnity, Sonya Coleman, Dermot Kerr:
Computational Approach to Identifying Contrast-Driven Retinal Ganglion Cells. 635-646 - Fuchang Han, Shenghui Liao, Renzhong Wu, Shu Liu, Yuqian Zhao, Xiantao Shen:
Radiological Identification of Hip Joint Centers from X-ray Images Using Fast Deep Stacked Network and Dynamic Registration Graph. 647-659 - Borui Gao, Guangtai Ding, Kun Fang, Peilin Chen:
A Two-Branch Neural Network for Non-Small-Cell Lung Cancer Classification and Segmentation. 660-670 - Sidi Yang, Thomas Fevens:
Uncertainty Quantification and Estimation in Medical Image Classification. 671-683 - Maram Mahmoud A. Monshi, Josiah Poon, Vera Yuk Ying Chung, Fahad Mahmoud Monshi:
Labeling Chest X-Ray Reports Using Deep Learning. 684-694
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