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ORCID27th ICPR 2024: Kolkata, India - Part III
- 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 III. Lecture Notes in Computer Science 15303, Springer 2025, ISBN 978-3-031-78121-6 - Mingyuan Jiu, Hailong Zhu, Hichem Sahbi:
Deep Multi-order Context-Aware Kernel Network for Multi-label Classification. 1-17 - Buddhadev Goswami, Adithya B. Somaraj, Prantar Chakrabarti, Ravindra D. Gudi, Nirmal Punjabi:
Classifier Enhanced Deep Learning Model for Erythroblast Differentiation with Limited Data. 18-30 - Muhammad Suhaib Kanroo, Hadia Showkat Kawoosa, Joy Dhar, Puneet Goyal:
PiExtract: An End-to-End Data Extraction Pipeline for Pie-Charts. 31-46 - Chaithra, Priyanshu Sharma, Biju R. Mohan:
Machine Learning Solutions for Predicting Bankruptcy in Indian Firms. 47-64 - Binhan Chen, Qiaojun Wu, Song Chen, Yi Kang:
Efficient Object Detection via Fine-Grained Regularization with Global Initialization. 65-80 - Mo Zhou, Vishal M. Patel:
On Trace of PGD-Like Adversarial Attacks. 81-97 - Weinan Dai, Yifeng Jiang, Yuanjing Liu, Jinkun Chen, Xin Sun, Jinglei Tao:
CAB-KWS : Contrastive Augmentation: An Unsupervised Learning Approach for Keyword Spotting in Speech Technology. 98-112 - Chukwuma Hilary Akpu, Hong Wei, Xia Hong:
Deep Learning in Automated Worm Identification and Tracking for C. Elegan Mating Behaviour Analysis. 113-128 - Yeon-Jeong Lee, Yeong-Hun Song, Sang Wook Yoo, Joon-Kyung Seong:
Interactive-Time Text-Guided Editing of 3D Face. 129-146 - Samuele Poppi, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Unlearning Vision Transformers Without Retaining Data via Low-Rank Decompositions. 147-163 - Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang:
gWaveNet: Classification of Gravity Waves from Noisy Satellite Data Using Custom Kernel Integrated Deep Learning Method. 164-180 - Ruizhi Liu, Paolo Remagnino, Hubert P. H. Shum:
Neural-Code PIFu: High-Fidelity Single Image 3D Human Reconstruction via Neural Code Integration. 181-195 - Qinglin Zhang, Donghai Guan, Weiwei Yuan, Mingqiang Wei:
Sea-ShipNet: Detect Any Ship in SAR Images. 196-209 - Xinyu Wang, Tao Pu, Dongyu Zhang, Liang Lin:
Semantic Correlation Adaptation for Union-Set Multi-label Image Recognition. 210-225 - Shuai Yang, Mei Wang, Weihong Deng, Jiani Hu:
FedSC: Federated Generalized Face Anti-Spoofing via Shuffled Codebook. 226-242 - Sudhakar Kumawat, Hajime Nagahara:
LoHoSC: Low Order High Order Style Consistency for Syn-to-Real Domain Generalized Semantic Segmentation. 243-258 - Yuki Igaue, Takio Kurita, Hiroaki Aizawa:
Incorporating Spatial Locality Into Self-attention for Training Vision Transformer on Small-Scale Datasets. 259-274 - Zhoufeng Liu, Bingrui Li, Shumin Ding, Jiangtao Xi, Chunlei Li:
Cross-Domain Calibration and Boundary Denoising Network for Weakly Supervised Semantic Segmentation. 275-288 - Guangtong Lu, Weidong Du, Fanzhang Li:
EFLLD-NET: Enhancing Few-Shot Learning with Local Descriptors. 289-302 - Aniket Singh, Anoop M. Namboodiri:
Using Multiscale Information for Improved Optimization-Based Image Attribution. 303-321 - Nagabhushan Eswara, Jaroslaw Sydir, V. Srinivasa Somayazulu, Parual Datta, Nilesh A. Ahuja, Omesh Tickoo:
Split-DNN Computing for Video Analytics. 322-338 - Jianchang Tan, Xiangqian Ding, Shusong Yu:
Task-Aware Local Descriptors Reconstruction Network for Few-Shot Find-Grained Image Classification. 339-355 - Mohamed Hussein, Sudharshan Subramaniam Janakiraman, Wael AbdAlmageed:
TRIGS: Trojan Identification from Gradient-Based Signatures. 356-371 - Huanzhang Zhu, Shaoxin Li, Lingyang Chu:
Multifaceted Anchor Nodes Attack on Graph Neural Networks: A Budget-Efficient Approach. 372-390 - Liancheng Xu, Xiaoqi Wu, Xiaoxiang Wang, Xinhua Wang:
Causal Attentive Group Recommendation. 391-406 - Nana Zhang, Qian Liu, Dandan Zhu, Kun Zhu, Guangtao Zhai, Xiaokang Yang:
E2DAS: An Efficient Equivariant Dynamic Aggregation Saliency Model for Omnidirectional Images. 407-423 - Si-Hao Liu, Cong Hu, Xiaoning Song, Jia-Sheng Chen, Xiaojun Wu:
FewConv: Efficient Variant Convolution for Few-Shot Image Generation. 424-440 - Sreetama Sarkar, Xinan Ye, Gourav Datta, Peter A. Beerel:
FixPix: Fixing Bad Pixels using Deep Learning. 441-455 - Anoushka Banerjee, Ananth Ganesh:
Real-World Coarse to Fine-Grained Source-Free Multidomain Adaptation. 456-472
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