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ORCID7th ACPR 2023: Kitakyushu, Japan - Part II
- Huimin Lu, Michael Blumenstein, Sung-Bae Cho
, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya:
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14407, Springer 2023, ISBN 978-3-031-47636-5 - Linlin Jia, Xiao Ning, Benoit Gaüzère, Paul Honeine, Kaspar Riesen:
Bridging Distinct Spaces in Graph-Based Machine Learning. 1-14 - Kunal Biswas, Palaiahnakote Shivakumara, Umapada Pal, Ram Sarkar:
A New Contrastive Learning Based Model for Estimating Degree of Multiple Personality Traits Using Social Media Posts. 15-29 - Arnab Halder, Palaiahnakote Shivakumara, Umapada Pal, Tong Lu, Michael Blumenstein:
A New Transformer-Based Approach for Text Detection in Shaky and Non-shaky Day-Night Video. 30-44 - Peng Sun, Haigang Zhang, Jinfeng Yang, Dong Wei:
MobileViT Based Lightweight Model for Prohibited Item Detection in X-Ray Images. 45-58 - Chi Jiang, Yupeng Chen, Manhua Shi, Yin Zhang:
Typical Contract Graph Feature Enhanced Smart Contract Vulnerability Detection. 59-73 - Guangtao Wang, Jun Li, Jie Xie, Jianhua Xu, Bo Yang:
EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection. 74-87 - Bulla Rajesh, Sk Mahafuz Zaman, Mohammed Javed, P. Nagabhushan:
CompTLL-UNet: Compressed Domain Text-Line Localization in Challenging Handwritten Documents Using Deep Feature Learning from JPEG Coefficients. 88-101 - Michiko Inoue, Fuyuko Iwasaki, Masashi Nishiyama, Yoshio Iwai:
Heatmap Overlay Using Neutral Body Model for Visualizing the Measured Gaze Distributions of Observers. 102-114 - Yin Wang, Hiroaki Aizawa, Takio Kurita:
Image Inpainting for Large and Irregular Mask Based on Partial Convolution and Cross Semantic Attention. 115-128 - Keiji Gyohten, Hidehiro Ohki, Toshiya Takami:
Character Structure Analysis by Adding and Pruning Neural Networks in Handwritten Kanji Recognition. 129-142 - Ragib Amin Nihal, Nawara Mahmood Broti:
A Few-Shot Approach to Sign Language Recognition: Can Learning One Language Enable Understanding of All? 143-155 - Shengyi Li, Qifan Xue, Yezhuo Zhang, Xuanpeng Li:
CILF: Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction. 156-169 - Zahoor Ahmad, Niamat Ullah, Wasim Zaman, Muhammad Farooq Siddique, Jaeyoung Kim, Jong-Myon Kim:
A Framework for Centrifugal Pump Diagnosis Using Health Sensitivity Ratio Based Feature Selection and KNN. 170-179 - Andrei S. Maliuk, Jong-Myon Kim:
WPT-Base Selection for Bearing Fault Feature Extraction: A Node-Specific Approach Study. 180-191 - Zepeng Zhang, Hua Chen, Jiagui Xiong, Jiayu Hu, Wenlong Ni:
A Study on Improving ALBERT with Additive Attention for Text Classification. 192-202 - Shilong Song, Zhengyun Feng, Mingwei Chen, Xinjun Bian, Jiale Chen, Siyang Feng, Xipeng Pan:
Dual Branch Fusion Network for Pathological Image Classification with Extreme Different Image Size. 203-215 - Salvador Eugenio Ayala-Raggi, Angel Ernesto Picazo-Castillo, Aldrin Barreto-Flores, José Francisco Portillo-Robledo:
Synergizing Chest X-ray Image Normalization and Discriminative Feature Selection for Efficient and Automatic COVID-19 Recognition. 216-229 - Sonam Nahar, Sagar Narsingani, Yash Patel:
A Unified Convolutional Neural Network for Gait Recognition. 230-242 - Ayush Roy, Palaiahnakote Shivakumara, Umapada Pal, Shivanand S. Gornale, Cheng-Lin Liu:
A New Lightweight Attention-Based Model for Emotion Recognition on Distorted Social Media Face Images. 243-257 - Shenyuan Huang, Huaibo Huang, Zi Wang, Nan Xu, Aihua Zheng, Ran He:
Uncertainty-Guided Test-Time Training for Face Forgery Detection. 258-272 - Shixiang Zhang, Yang Xu, Zebin Wu, Zhihui Wei:
CTC-Net: A Novel Coupled Feature-Enhanced Transformer and Inverted Convolution Network for Medical Image Segmentation. 273-283 - Wenxia Qi, Xingfu Wang, Wei Wang:
EEG Emotion Recognition Based on Temporal-Spatial Features and Adaptive Attention of EEG Electrodes. 284-296 - Yao Deng, Xiang Xiang:
Replaying Styles for Continual Semantic Segmentation Across Domains. 297-311 - Ning Li, Minghui Chen, Guohua Zhao, Lei Yang, Ling Ma, Jingliang Cheng, Huiqin Jiang:
ABFNet: Attention Bottlenecks Fusion Network for Multimodal Brain Tumor Segmentation. 312-325 - Yaozu Kan, Gui-Fu Lu, Yangfan Du, Guangyan Ji:
Efficient Tensor Low-Rank Representation with a Closed Form Solution. 326-339 - Jin Liu, Huaibo Huang, Jie Cao, Junxian Duan, Ran He:
Fine-Grained Face Sketch-Photo Synthesis with Text-Guided Diffusion Models. 340-354 - Yulin Dong, Zhizhuo Jiang, Yu Liu:
MMFA-Net: A New Brain Tumor Segmentation Method Based on Multi-modal Multi-scale Feature Aggregation. 355-366 - Renjie Wang, Tianyang Xu, Shao-Chuan Zhao, Xiaojun Wu, Josef Kittler:
Diffusion Init: Stronger Initialisation of Decision-Based Black-Box Attacks for Visual Object Tracking. 367-380 - Yu Shi, Hu Tan, Song Gao, Yunyun Dong, Wei Zhou, Ruxin Wang:
MMID: Combining Maximized the Mutual Information and Diffusion Model for Image Super-Resolution. 381-395 - Ke Tang, Xiuxiu Hu, Pingsheng Chen, Siyu Xia:
Fibrosis Grading Methods for Renal Whole Slide Images Based on Uncertainty Estimation. 396-408 - Koichi Ito, Kanta Miura, Takafumi Aoki, Yurie Otake, Wataru Makino, Jotaro Urabe:
Zooplankton Classification Using Hierarchical Attention Branch Network. 409-419
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