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ORCID27th ICPR 2024: Kolkata, India - Part IV
- Apostolos Antonacopoulos
, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15304, Springer 2025, ISBN 978-3-031-78127-8 - Atul Kumar Sinha, François Fleuret:
DeepEMD: A Transformer-Based Fast Estimation of the Earth Mover's Distance. 1-15 - Karl Bylander, Ingela Nyström, Karl Bengtsson Bernander:
Equivariant Neural Networks for TEM Virus Images Improves Data Efficiency. 16-31 - Neha Sharma, Prashant Karwasra, Paritosh Sharma, Md Arbaz Tahir:
AI Based Story Generation. 32-47 - Huiyuan Yu, Maggie Cheng:
Deep Learning Models for Inference on Compressed Signals with Known or Unknown Measurement Matrix. 48-63 - Francisco Raverta Capua, Juan Schandin, Pablo de Cristóforis:
Training Point-Based Deep Learning Networks for Forest Segmentation with Synthetic Data. 64-80 - Raveendra Pilli, Tripti Goel, R. Murugan, Muhammad Tanveer:
Brain Age Estimation of Alzheimer's and Parkinson's Affected Individuals Using Self-Attention Based Convolutional Neural Network. 81-96 - Shreyas Chandgothia, Ardhendu Sekhar, Amit Sethi:
IFSENet: Harnessing Sparse Iterations for Interactive Few-Shot Segmentation Excellence. 97-113 - Jianbin Cui, Lingyang Chu:
Interpretable Deep Graph-Level Clustering: A Prototype-Based Approach. 114-129 - Menglong Chen, Jianming Wang, Zhitao Xiao, Yukuan Sun:
A Saliency-Aware NR-IQA Method by Fusing Distortion Class Information. 130-143 - Arju Bano, Monidipa Das:
A Guided Input Sampling-Based Perturbative Approach for Explainable AI in Image-Based Application. 144-162 - Panpan Wang, Shujuan Wang, Zhichao Lian, Shuohao Li:
Multi-target Attention Dispersion Adversarial Attack Against Aerial Object Detector. 163-179 - Yudian Zhang, Chenhao Xu, Kaiye Xu, Haijiang Zhu:
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation. 180-194 - Jie Yang, Liwei Jing, Yuanzhuo Xu, Shaowu Wu, Steve Drew, Xiaoguang Niu:
Label-Expanded Feature Debiasing for Single Domain Generalization. 195-210 - Yusu Zhang, Xiao-Jun Wu, Tianyang Xu:
Infrared and Visible Image Fusion Based on CNN and Transformer Cross-Interaction with Semantic Modulations. 211-226 - Fengyi Wang, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang:
Mining Long Short-Term Evolution Patterns for Temporal Knowledge Graph Reasoning. 227-242 - Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Vinh Truong Hoang:
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging. 243-258 - Tonghua Qiao, Chunjie Cao, Binghui Zou, Fangjian Tao, Yinan Cheng, Qi Zhang, Jingzhang Sun:
A Weighted Discrete Wavelet Transform-Based Capsule Network for Malware Classification. 259-274 - Lin Hang, Qianqian Ren, Xingfeng Lv:
Data-Driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting. 275-289 - Baochen Fu, Miao Duan, Zhen Li, Xiuli Zuo, Xu Qiao:
Automatic Diagnosis Model of Gastrointestinal Diseases Based on Tongue Images. 290-301 - Yi Zhang, Bowei Zhang, Kai Yi:
TinyConv-PVT: A Deeper Fusion Model of CNN and Transformer for Tiny Dataset. 302-318 - Nguyen Quoc Viet, Le Minh Tri, Nguyen Thi Yen, Nguyen Minh Giang:
SCAD-Net: Spatial-Channel Attention and Depth-Map Analysis Network for Face Anti-spoofing. 319-333 - Shakhnaz Akhmedova, Nils Körber:
Next Generation Loss Function for Image Classification. 334-349 - Muzhou Yu, Zhihan Cai, Kailu Wu, Dapeng Cao, Kaisheng Ma:
NAOL: NeRF-Assisted Omnidirectional Localization. 350-366 - Jie Liu, Qilin Li, Senjian An, Bradley Ezard, Ling Li:
EdgeConvFormer: An Unsupervised Anomaly Detection Method for Multivariate Time Series. 367-382 - Ruigang Fu, Qingyong Hu, Xiaohu Dong, Yinghui Gao, Biao Li, Ping Zhong:
Lighten CARAFE: Dynamic Lightweight Upsampling with Guided Reassemble Kernels. 383-399 - Kankana Roy, Aparna Mohanty, Rajiv Ranjan Sahay:
Hand over Face Gesture Classification with Feature Driven Vision Transformer and Supervised Contrastive Learning. 400-417 - Al-Zadid Sultan Bin Habib, Kesheng Wang, Mary-Anne Hartley, Gianfranco Doretto, Donald A. Adjeroh:
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering. 418-434 - Lingfeng Zhang, Luca Cosmo, Giorgia Minello, Andrea Torsello, Luca Rossi:
GraFix: A Graph Transformer with Fixed Attention Based on the WL Kernel. 435-450 - Qianli Zhao, Linlin Zong, Bo Xu, Xianchao Zhang, Xinyue Liu:
Multi-modal Deep Emotion-Cause Pair Extraction for Video Corpus. 451-466
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