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6th ACPR 2021: Jeju Island, South Korea - Part I
- Christian Wallraven, Qingshan Liu, Hajime Nagahara:
Pattern Recognition - 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13188, Springer 2022, ISBN 978-3-031-02374-3
Classification
- Keiichi Yamada, Susumu Matsumi:
One-Shot Image Learning Using Test-Time Augmentation. 3-16 - Jia-Man Tang, Jin-Wen Wu, Fei Yin, Lin-Lin Huang:
Offline Handwritten Mathematical Expression Recognition via Graph Reasoning Network. 17-31 - Xuran Xu, Tong Zhang, Chunyan Xu, Zhen Cui:
Circulant Tensor Graph Convolutional Network for Text Classification. 32-46 - Bolin Ni, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
NASformer: Neural Architecture Search for Vision Transformer. 47-61 - Jian Pang, Weifeng Liu, Baodi Liu, Dapeng Tao, Kai Zhang, Xiaoping Lu:
Interference Distillation for Underwater Fish Recognition. 62-74
Action and Video and Motion
- Tamal Chowdhury, Sukalpa Chanda, Saumik Bhattacharya, Soma Biswas, Umapada Pal:
Contact-Less Heart Rate Detection in Low Light Videos. 77-91 - Dong-Gyu Lee, Dong-Ok Won:
Spatio-temporal Weight of Active Region for Human Activity Recognition. 92-103 - Ji-Seon Bang, Seong-Whan Lee:
Motor Imagery Classification Based on CNN-GRU Network with Spatio-Temporal Feature Representation. 104-115 - Xinlei Qi, Yaqing Ding, Jin Xie, Jian Yang:
Planar Motion Estimation for Multi-camera System. 116-129 - Yonghui Liang, Lu Zhang, Yuqing He, Na Xu, Mingqi Liu, Jeremy Jianshuo-li Mahr:
SARNN: A Spatiotemporal Prediction Model for Reducing Error Transmissions. 130-143 - Yujia Zhai, Fulin Tang, Yihong Wu:
3OFRR-SLAM: Visual SLAM with 3D-Assisting Optical Flow and Refined-RANSAC. 144-158 - Jinhyo Shin, Wonzoo Chung:
Motor Imagery Classification Based on Local Log Riemannian Distance Matrices Selected by Confusion Area Score. 159-169 - Haetsal Lee, Junghyun Cho, Ig-Jae Kim, Unsang Park:
Distance-GCN for Action Recognition. 170-181 - Luhui Yue, Junxia Li, Qingshan Liu:
Causal Intervention Learning for Multi-person Pose Estimation. 182-194
Object Detection and Anomaly
- Zhentao Jiang, Qiang Chen, Bo Jiang, Cong Leng, Jian Cheng:
Weakly Supervised Salient Object Detection with Box Annotation. 197-211 - Fengming Sun, Lufei Huang, Xia Yuan, Chunxia Zhao:
Foreground-Background Collaboration Network for Salient Object Detection. 212-225 - Qiuyan Tang, Jialin Ye, Fukang Chen, Xia Yuan:
Attention Guided Multi-level Feedback Network for Camouflage Object Detection. 226-239 - Tsung-Hsuan Wu, Chun-Lung Yang, Li-Ling Chiu, Ting-Wei Wang, Gueter Josmy Faure, Shang-Hong Lai:
Confidence-Aware Anomaly Detection in Human Actions. 240-254
Segmentation, Grouping and Shape
- Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR. 257-270 - Lufei Huang, Fengming Sun, Xia Yuan:
COMatchNet: Co-Attention Matching Network for Video Object Segmentation. 271-284 - Yikai Bian, Jin Xie, Jianjun Qian:
Unsupervised Domain Adaptive Point Cloud Semantic Segmentation. 285-298 - Jui Chang, Yu-Ting Pang, Chiou-Ting Hsu:
Towards the Target: Self-regularized Progressive Learning for Unsupervised Domain Adaptation on Semantic Segmentation. 299-313 - Tao Wang, Zhihui Lai, Heng Kong:
TFNet: Transformer Fusion Network for Ultrasound Image Segmentation. 314-325 - Jin Liu, Yazhou Liu, Quansen Sun:
Spatial Pyramid-based Wavelet Embedding Deep Convolutional Neural Network for Semantic Segmentation. 326-337 - Qifeng Luo, Ting-Bing Xu, Zhenzhong Wei:
CFFNet: Cross-scale Feature Fusion Network for Real-Time Semantic Segmentation. 338-351 - Oskar Natan, Jun Miura:
Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception. 352-365 - Farzeen Munir, Shoaib Azam, Unse Fatima, Moongu Jeon:
ARTSeg: Employing Attention for Thermal Images Semantic Segmentation. 366-378 - Guodong Sun, Zejin Wang, Guoqing Li, Hua Han:
Robust Frequency-Aware Instance Segmentation for Serial Tissue Sections. 379-389 - Yuhang Chen, Bolin Ni, Gaofeng Meng, Baoyin Sha:
Joint Semantic Segmentation and Edge Detection for Waterline Extraction. 390-400
Face and Body and Biometrics
- Serin Park, Christian Wallraven:
Comparing Facial Expression Recognition in Humans and Machines: Using CAM, GradCAM, and Extremal Perturbation. 403-416 - Kento Terauchi, Keiji Yanai:
Pose Sequence Generation with a GCN and an Initial Pose Generator. 417-430 - Young Eun Kim, Seong-Whan Lee:
Domain Generalization with Pseudo-Domain Label for Face Anti-spoofing. 431-442 - Pei-Kai Huang, Ming-Chieh Chin, Chiou-Ting Hsu:
Face Anti-spoofing via Robust Auxiliary Estimation and Discriminative Feature Learning. 443-458 - Bing Liu, Zheng Wang, Jufu Feng:
PalmNet: A Robust Palmprint Minutiae Extraction Network. 459-473 - Tian Li, Kun Huang, Yuhan Zhang, Mingchao Li, Weiwei Zhang, Qiang Chen:
Multi-stage Domain Adaptation for Subretinal Fluid Classification in Cross-device OCT Images. 474-487 - Xu Liang, Zhaoqun Li, Dandan Fan, Jinyang Yang, Guangming Lu, David Zhang:
SaME: Sharpness-aware Matching Ensemble for Robust Palmprint Recognition. 488-500 - Lifang Wu, Heng Zhang, Ge Shi, Sinuo Deng:
Weakly Supervised Interaction Discovery Network for Image Sentiment Analysis. 501-512 - Yulan Deng, Lunke Fei, Jie Wen, Wei Jia, Genping Zhao, Chunwei Tian, Ting Ke:
Joint Multi-feature Learning for Facial Age Estimation. 513-524 - Hiroya Kawai, Takashi Kozu, Koichi Ito, Hwann-Tzong Chen, Takafumi Aoki:
Is CNN Really Looking at Your Face? 525-539 - Yufei Sun, Yong Li, Zhen Cui:
NFW: Towards National and Individual Fairness in Face Recognition. 540-553
Adversarial Learning and Networks
- Zhoufeng Liu, Chengli Gao, Chunlei Li, Ning Huang, Zijing Guo:
Unsupervised Fabric Defect Detection Based on DCGAN with Component-Encoder. 557-568 - Sreyasee Das Bhattacharjee, Junsong Yuan:
Proactive Student Persistence Prediction in MOOCs via Multi-domain Adversarial Learning. 569-583
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