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ORCID27th ICPR 2024: Kolkata, India - Part XXVI
- 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 XXVI. Lecture Notes in Computer Science 15326, Springer 2025, ISBN 978-3-031-78394-4 - Zongjing Cao, Yan Li, Byeong-Seok Shin:
Attention-Guided Energy-Based Model for Out-of-Distribution Data Detection. 1-15 - Naihao Wang, Yukun Yang, Haixin Yang, Ruirui Li:
Enhancing Fairness and Robustness in Label-Noise Learning Through Advanced Sample Selection and Adversarial Optimization. 16-31 - Javad Sheikh, Farshad Farahnakian, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen:
SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning. 32-47 - Onat Güngör, Amanda Rios, Priyanka Mudgal, Nilesh A. Ahuja, Tajana Rosing:
A Robust Framework for Evaluation of Unsupervised Time-Series Anomaly Detection. 48-64 - Giovanni Maria Manduca, Antonino Furnari, Giovanni Maria Farinella:
The Analog Layer: Simulating Imperfect Computations in Neural Networks to Improve Robustness and Generalization Ability. 65-80 - Saleh Sargolzaei, Luis Rueda:
Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield Networks. 81-96 - Riti Paul, Sahil Vora, Nupur Thakur, Baoxin Li:
A-FSL: Adaptive Few-Shot Learning via Task-Driven Context Aggregation and Attentive Feature Refinement. 97-113 - Jie Zhang, Mingyong Li:
Joint Modal Heterogeneous Balance Hashing for Unsupervised Cross-Modal Retrieval. 114-128 - Shivanvitha Ambati, Vineet Padmanabhan, Wilson Naik Bhukya, Rajendra Prasad Lal:
Interpretable Visual Semantic Alignment via Spectral Attribution. 129-143 - Penghao Fu, Cheolkon Jung, Yang Liu, Ming Li:
Progressive Learning Based on QP Distance for Enhancing HOP In-Loop Filter. 144-155 - Yusong Hu, Cheolkon Jung, Yang Liu, Ming Li:
Asymmetric Learned Image Compression Using Fast Residual Channel Attention. 156-170 - Lin Mei, Hao Zhang, Cheolkon Jung:
LDINet: Long Distance Imaging Through RGB and NIR Image Fusion. 171-185 - Zhiwei Dong, Ran Ding, Jiaxiang Wang, Wei Li:
Efficient Long-Range Context Modeling for Motion Forecasting with State Space Models. 186-201 - Yunfeng Liu, Cheolkon Jung:
DWT-SALF: Subband Adaptive Neural Network Based In-Loop Filter for VVC Using Cyclic DWT. 202-217 - Gabriel Turinici:
Optimal Time Sampling in Physics-Informed Neural Networks. 218-233 - Teng Sun, Xiaoqiang Xiao, Xu Zhang, Weixun Ning:
HeFormer: A Lightweight Transformer Combining Hash Estimation for Link Prediction. 234-248 - Chengzhi Wu, Kaige Wang, Zeyun Zhong, Hao Fu, Junwei Zheng, Jiaming Zhang, Julius Pfrommer, Jürgen Beyerer:
Rethinking Attention Module Design for Point Cloud Analysis. 249-267 - Yu Wang, Bo Du, Shufan Wu, Xingli Yang:
A Hyperparameter Optimization Method Based on Statistical Orthogonal Design for Neural Network Models. 268-283 - Chayan Maitra, Anwesha Sengupta, Rajat K. De:
NeuroDAVIS-FS: Feature Selection Through Visualization Using NeuroDAVIS. 284-298 - Mireille el Assal, Pierre Tirilly, Ioan Marius Bilasco:
S3TC: Spiking Separated Spatial and Temporal Convolutions with Unsupervised STDP-Based Learning for Action Recognition. 299-314 - Eva Feillet, Adrian Popescu, Céline Hudelot:
Recommendation of Data-Free Class-Incremental Learning Algorithms by Simulating Future Data. 315-330 - Long Tian, Amelia Sorrenti, Yik Lung Pang, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato, Changjae Oh:
Incremental Object 6D Pose Estimation. 331-346 - Shivalee R. K. Shah, Mayank Vatsa:
Enhancing Quantum Diffusion Models with Pairwise Bell State Entanglement. 347-361 - ShuPeng Li, ZhaoHui Qi:
Efficient Prescribed-Time and Robust Zeroing Neural Networks for Computing Time-Variant Plural Stein Matrix Equation. 362-375 - Santosh Palaskar, Surya Shravan Kumar Sajja, Nandyala Hemachandra, Narayan Rangaraj:
HRA: Heuristic Reordering Approach for Preserving Dependency in Hierarchical Time Series Forecasting. 376-391 - Ayanabha Ghosh, Rishi Jain, Shubham Parida, Debasis Das:
TS-NUC : Nearest Unlike Cluster Guided Generative Counterfactual Estimation for Time Series Classification. 392-406 - Stefana-Lucia Anita, Gabriel Turinici:
Convergence of a L2 Regularized Policy Gradient Algorithm for the Multi Armed Bandit. 407-422 - Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Delving into Feature Space: Improving Adversarial Robustness by Feature Spectral Regularization. 423-439 - Yuhang Zhang, Wenjie Zhang, Yang Hua, Zun Wang, Xiaoning Song, Xiaojun Wu:
Cluster-Mined Negative Samples for Enhanced Unsupervised Sentence Representation Learning. 440-456
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