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ORCID27th ICPR 2024: Kolkata, India - Part XXVII
- 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 XXVII. Lecture Notes in Computer Science 15327, Springer 2025, ISBN 978-3-031-78397-5 - Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Bernhard Sick, Christian Gruhl:
Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction. 1-21 - Jiangbin Zheng, Stan Z. Li:
CCPL: Cross-Modal Contrastive Protein Learning. 22-38 - Jiatong Li, Kalliopi Basioti, Vladimir Pavlovic:
Box2Flow: Instance-Based Action Flow Graphs from Videos. 39-55 - Shenyuan Liang, Benjamin Beaudett, Pavan K. Turaga, Saket Anand, Anuj Srivastava:
Learning Geometry of Pose Image Manifolds in Latent Spaces Using Geometry-Preserving GANs. 56-72 - Yuchong Yao, Nandakishor Desai, Marimuthu Palaniswami:
MOMA: Contrastive Learning Distills Better Masked Autoencoders. 73-88 - Junhao Cao, Junyi Chen, Sibo Huang, Dongyu Zhang:
Leveraging Cross-Augmentation Consensus and Conflict for Semi-supervised Semantic Segmentation. 89-104 - Tarun Somavarapu, Anand Vir Singh, Maneet Singh, Shraddha Pandey, Shantanu Verma, Kushagra Agarwal:
Event-Aware Multi-component (EMl) Loss for Fraud Detection. 105-119 - Andrew Ponomarev:
A Simple Heuristic for Controlling Human Workload in Learning to Defer. 120-130 - Xunda Zhao, Xing Wu, Jianjia Wang:
Explore Statistical Properties of Undirected Unweighted Networks from Ensemble Models. 131-145 - Shanta Hardas Patil:
Evaluation of Machine Learning Techniques for Classification of Surface Roughness of Machined Samples using Laser Speckle Imaging Technique. 146-159 - Jiseok Lee, Brian Kenji Iwana:
Model Selection with a Shapelet-Based Distance Measure for Multi-source Transfer Learning in Time Series Classification. 160-175 - Guangshuo Wang, Yuesheng Zhu, Guibo Luo:
DACOA: Diffusion-Aligned Coherent Augmentation and Consistency Constraint Strategies for Federated Domain Generalization. 176-191 - Yuanyuan Xu, Meina Kan, Zhilong Ji, Jinfeng Bai, Shiguang Shan, Xilin Chen:
Collaborative Domain Alignment for Multi-source Domain Adaptation. 192-207 - Zhiyuan Yang, Bo Zhang, Zhiqiang Zeng, Si Yong Yeo:
Edge-Guided and Cross-Scale Feature Fusion Network for Efficient Multi-contrast MRI Super-Resolution. 208-218 - Feng Jiang, Jing Wen, Yi Wang:
Dual-ResShift: Dual-Input Separated Features Residual Shift Diffusion Model for CTA Image Super-Resolution. 219-233 - Arth J. Shah, Manish Suthar, Hemant A. Patil:
Multi-Block U-Net for Wind Noise Reduction in Hearing Aids. 234-249 - Ainhoa Osa-Sanchez, Hossam Magdy Balaha, Ali Mahmoud, Mostafa Abdelrahim, Mohamed Khudri, Begonya Garcia-Zapirain, Ayman El-Baz:
A Cascading Approach with Vision Transformers for Age-Related Macular Degeneration Diagnosis and Explainability. 250-265 - Yash Sonawane, Maheshkumar H. Kolekar, Agnesh Chandra Yadav, Gargi Kadam, Sanika Tiwarekar, Dhananjay R. Kalbande:
DCRUNet++: A Depthwise Convolutional Residual UNet++ Model for Brain Tumor Segmentation. 266-280 - Gourav Siddhad, Sayantan Dey, Partha Pratim Roy:
DrowzEE-G-Mamba: Leveraging EEG and State Space Models for Driver Drowsiness Detection. 281-295 - Adarsh V. Parekkattil, Sanjeev Kumar Varun, Tharun Kumar Reddy:
EEG-Based Reaction Time Prediction Using Covariance Augmented 2D Convolutional Neural Network. 296-310 - Joy Dhar, Kapil Rana, Puneet Goyal:
Uncertainty-RIFA-Net: Uncertainty Aware Robust Information Fusion Attention Network for Brain Tumors Classification in MRI Images. 311-327 - Shiyun Wang, Yongchao Xu:
Auxiliary Information Guided Segmentation for the Clinical Target Volume of Cervical Cancer. 328-343 - Pin Xu, Xiongjiang Xiao, Weimin Yuen, Yanyi Li, Kuan Li, Jianping Yin:
Synthetic Images with Dense Annotations and Ensemble Learning for DFU Segmentation. 344-358 - Markus Bauer, Adam Gurwin, Christoph Augenstein, Bogdan Franczyk, Bartosz Malkiewicz:
SWJEPA: Improving Prostate Cancer Lesion Detection with Shear Wave Elastography and Joint Embedding Predictive Architectures. 359-375 - Nirmal Joseph, Sudhish N. George, P. M. Ameer, Kiran Bylappa Raja:
AdaSVaT: Adaptive Singular Value Thresholding for Adversarial Detection in Fundus Images. 376-391 - Abdelrhman Elkhouly, Ahmed Alksas, Gehad A. Saleh, Mohamed Shehata, Abdelrahman Karawia, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz:
A New AI System for Precise Grading of HCC Based on Analyzing DW-MRI Radiomics and Alpha-fetoprotein as Liver Cancer Clinical Marker. 392-407 - Swarnadip Chatterjee, Orcun Göksel, Natasa Sladoje, Joakim Lindblad:
Detection of Extremely Sparse Key Instances in Whole Slide Cytology Images via Self-supervised One-class Representation Learning. 408-421 - Aditya Oza, Sanskriti Patel, Bhavesh S. Gyanchandani, Abhinav Roy, Santosh Kumar:
Hybrid CNN-LSTM Framework for Enhanced Congestive Heart Failure Diagnosis: Integrating GQRS Detection. 422-437 - Ahmed Sharafeldeen, Hossam Magdy Balaha, Ali Mahmoud, Reem Khaled, Saher Taman, Manar Mansour Hussein, Mohammed Ghazal, Ayman El-Baz:
A Multimodal MRI-based Framework for Thyroid Cancer Diagnosis Using eXplainable Machine Learning. 438-452
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