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ORCID27th ICPR 2024: Kolkata, India - Part VII
- 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 VII. Lecture Notes in Computer Science 15307, Springer 2025, ISBN 978-3-031-78182-7 - Danilo Samuel Jodas, Leandro A. Passos, Douglas Rodrigues, Kelton A. P. Costa, João Paulo Papa:
Graph Matching Networks Meet Optimum-Path Forest: How to Prune Ensembles Efficiently. 1-18 - Xun Sun, Xi Xiao, Zhaoguo Wang, Guangwu Hu, Xuhui Jiang, Bin Zhang, Hao Li:
Understanding the Influence of Extremely High-Degree Nodes on Graph Anomaly Detection. 19-34 - Liting Song, Qianqian Ren, Ying Zhou:
Spatio-Temporal Heterogeneous Graph Neural Network With Multi-view Learning For Traffic Prediction. 35-52 - Qi Wu, Yingguang Yang, Buyun He, Hao Liu, Renyu Yang, Yong Liao:
BotSCL: Heterophily-Aware Social Bot Detection with Supervised Contrastive Learning. 53-68 - Gongjunjian Zhang, Lu Bai:
SimDrop: Towards Deep Graph Convolutional Networks. 69-84 - Maria Angélica Krüger Miranda, Felipe Fernandes Fanchini, Leandro Aparecido Passos, Douglas Rodrigues, Kelton Augusto Pontara da Costa, Rafal Scherer, João Paulo Papa:
A Quantum-inspired Approach to Estimate Optimum-Path Forest Prototypes based on the Traveling Salesman Problem. 85-98 - Trinetra Devkatte, Shiv Ram Dubey, Satish Kumar Singh, Abdenour Hadid:
Face to Cartoon Incremental Super-Resolution Using Knowledge Distillation. 99-114 - Jing Yang, Xinzhi Rao:
Copula Entropy Based Causal Network Discovery from Non-stationary Time Series. 115-131 - Chuhong Yang, Bin Li, Nan Wu:
DSparsE: Dynamic Sparse Embedding for Knowledge Graph Completion. 132-146 - Keyang Cheng, Hao Zhou, Hao Wan:
Interpreting Convolutional Neural Network Decision via Pixel-Wise Interaction Hierarchy Graph. 147-161 - Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Denoising Optimization-Based Counterfactual Explanations for Time Series Classification. 162-179 - Zaipeng Xie, Xiangqin Zhang, Yunfei Wang, Xuanyao Jie, Wenhao Fang, Yanping Cai:
Improving Adaptive Runoff Forecasts in Data-Scarce Watersheds Through Personalized Federated Learning. 180-198 - Anupam Gupta, Pabitra Mitra, Sudip Misra:
Stagger-Cache MITM: A Privacy-Preserving Hierarchical Model Aggregation Framework. 199-216 - Vasileios Kochliaridis, Ioannis Pierros, Georgios Romanos, Ioannis P. Vlahavas:
ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. 217-231 - Soumik Dasgupta, Anurag Wagh, Lalitdutt Parsai, Binay Gupta, Geet Vudata, Shally Sangal, Sohom Majumdar, Hema Rajesh, Kunal Banerjee, Anirban Chatterjee:
waLLMartCache: A Distributed, Multi-tenant and Enhanced Semantic Caching System for LLMs. 232-248 - Bowen Zhang, S. Shailja, Chandrakanth Gudavalli, Connor Levenson, Amil Khan, B. S. Manjunath:
ReeSPOT: Reeb Graph Models Semantic Patterns of Normalcy in Human Trajectories. 249-264 - Fankang Xu, Wenbin Qian, Xingxing Cai, Wenhao Shu, Jintao Huang, Yiu-Ming Cheung, Weiping Ding:
Label Disambiguation-Based Feature Selection for Partial Multi-label Learning. 265-279 - Archana Yadav, Vishakha Pareek, Akshay Agarwal, Santanu Chaudhury:
Neural Encoding of Odors: Translating Odors into Unique Digital Representation with EEG Signals. 280-295 - Vineet R. Shenoy, Rama Chellappa:
Robust Feature Space Organization with Distillation for Few-Shot Object Detection. 296-312 - Liangyuan Chen, Zhenan He, Hai Zhang:
Image Domain Translation for Few-Shot Learning. 313-329 - Abhishek Kumar Sinha, Deepak Mishra, S. Manthira Moorthi:
Towards Adversarial Robustness and Reducing Uncertainty Bias through Expert Regularized Pseudo-Bidirectional Alignment in Transductive Zero Shot Learning. 330-345 - Sandipan Sarma, Gundameedi Sai Ram Mohan, Hariansh Sehgal, Arijit Sur:
Zero-Shot Underwater Gesture Recognition. 346-361 - Anirban Dasgupta, Anwesha Sengupta, Shubhobrata Bhattacharya:
Optic Atrophy Classification from Fundus Images with Few-Shot Learning. 362-374 - Yi Chen, Heng Zhang, Minsi Ren, Cheng-Lin Liu:
Recognition of Online Handwritten Chinese Texts in Any Writing Direction via Stroke Classification Based Over-Segmentation. 375-391 - Abhijit Das, Vandan Gorade, Debesh Jha, Koushik Biswas, Pethuru Raj, Ulas Bagci:
ProFONet: Prototypical Feature Space Optimized Network for Few Shot Classification. 392-406 - Jhonatan Machado Leão, Jacson Rodrigues Correia da Silva, Alberto Ferreira de Souza, Claudine Santos Badue, Thiago Oliveira-Santos:
Few-Shot Copycat: Improving Performance of Black-Box Attack with Random Natural Images and Few Examples of Problem Domain. 407-422 - Rafael-Edy Menadil, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Learning Using Generated Privileged Information by Text-to-Image Diffusion Models. 423-438 - Yi Liu, Sudhakar Kumawat, Hajime Nagahara:
Deep Hardware Modality Fusion for Image Segmentation. 439-454 - Li Sun, Liuan Wang, Jun Sun, Takayuki Okatani:
Temporal Insight Enhancement: Mitigating Temporal Hallucination in Video Understanding by Multimodal Large Language Models. 455-473 - Zihong Luo, Chengzhi Liu, Zheng Tao, Kexin He, Yitao Xu:
MC-DBN: A Deep Belief Network-Based Model for Modality Completion. 474-488
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