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ORCIDPattern Recognition Letters, Volume 184
Volume 184, 2024
- Tao Wang, Weibin Xi, Yong Cheng, Hao Han, Yang Yang:
RL-NBV: A deep reinforcement learning based next-best-view method for unknown object reconstruction. 1-6 - Wen Han, Xinghao Yang
, Baodi Liu, Kai Zhang, Weifeng Liu:
Weight Saliency search with Semantic Constraint for Neural Machine Translation attacks. 7-13 - Dapeng Wu, Xiaming Fan, Puning Zhang, Miao Fu:
Social domain integrated semantic self-discovery method for recommendation. 21-27 - Mehul Kumar, Rhythumwinder Singh, Prerana Mukherjee:
VTHSC-MIR: Vision Transformer Hashing with Supervised Contrastive learning based medical image retrieval. 28-36 - Ismael Benito-Altamirano, David Martínez-Carpena, Hanna Lizarzaburu-Aguilar, Cristian Fàbrega, Joan Daniel Prades:
Reading QR Codes on challenging surfaces using thin-plate splines. 37-43 - Guoguo Ai, Yuan Gao, Huan Wang, Xin Li, Jin Wang, Hui Yan:
Neighbors selective Graph Convolutional Network for homophily and heterophily. 44-51 - Zhiyi Yang, Zhou Zhao, Yuliang Gu, Yongchao Xu:
Query-guided generalizable medical image segmentation. 52-58 - Zhenxiang Pan, Yingchi Mao, Li Xiong, Tianfu Pang, Ping Ping:
MFAE: Multimodal Fusion and Alignment for Entity-level Disinformation Detection. 59-65 - Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman:
Transforming gradient-based techniques into interpretable methods. 66-73 - Foued Saâdaoui:
Structural self-similarity pattern in global food prices: Utilizing a segmented multifractal detrended fluctuation analysis. 74-79 - Huiqing Qi, Fang Li, Peng Chen, Shengli Tan, Xiaoliu Luo, Ting Xie:
Edge-preserving image restoration based on a weighted anisotropic diffusion model. 80-88 - Ziqiang Hu, Hao Chu, Yunzhou Zhang, Dexing Shan, You Shen:
Self-supervised assisted multi-task learning network for one-shot defect segmentation with fake defect generation. 89-96 - Cencheng Shen, Shangsi Wang, Alexandra Badea, Carey E. Priebe, Joshua T. Vogelstein:
Discovering the signal subgraph: An iterative screening approach on graphs. 97-102 - Moshe Eliasof, Eran Treister:
Global-local graph neural networks for node-classification. 103-110 - Jose Divasón, Ana Romero, Pilar Santolaria, Jesús Yániz:
Zigzag persistence for image processing: New software and applications. 111-118 - Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara:
Latent spectral regularization for continual learning. 119-125 - Alireza Esmaeilzehi, Ensieh Khazaei, Kai Wang, Navjot Kaur Kalsi, Pai Chet Ng, Huan Liu, Yuanhao Yu, Dimitrios Hatzinakos, Konstantinos N. Plataniotis:
HARWE: A multi-modal large-scale dataset for context-aware human activity recognition in smart working environments. 126-132 - Chanjong Park, Eunwoo Kim:
Self-supervised learning with automatic data augmentation for enhancing representation. 133-139 - Hao Huang, Lingjing Wang, Xiang Li, Shuaihang Yuan, Congcong Wen, Yu Hao, Yi Fang:
Learning to learn point signature for 3D shape geometry. 140-147 - Lingkai Zhu, Fei Zhou, Bozhi Liu, Orcun Goksel:
HDRfeat: A feature-rich network for high dynamic range image reconstruction. 148-154 - Yiyang Chen, Yi-Fan Li, Chuanxin Cheng, Haojiang Ying:
Neural network based cognitive approaches from face perception with human performance benchmark. 155-161 - Lakshmi Annamalai, Chetan Singh Thakur:
Beyond supervision: An unsupervised spatio-temporal point cloud noise modeling for event vision sensor. 162-168 - Pramukha R. N., Akhila P., Shashidhar G. Koolagudi:
End-to-end latent fingerprint enhancement using multi-scale Generative Adversarial Network. 169-175 - Michele Alziati, Fiore Amarù, Luca Magri, Federica Arrigoni:
Ensemble clustering via synchronized relabelling. 176-182 - Yijie Wang, Jindong Xu, Zongbao Liang, Qianpeng Chong, Xiang Cheng:
FDM: Document image seen-through removal via Fuzzy Diffusion Models. 183-189 - Liyin Qian, Kaiwen Zheng, Luqi Wang, Sheng Li:
Student State-aware knowledge tracing based on attention mechanism: A cognitive theory view. 190-196 - Rudresh Dwivedi, Pranay Kothari, Deepak Chopra, Manjot Singh, Ritesh Kumar:
An efficient ensemble explainable AI (XAI) approach for morphed face detection. 197-204 - Taejune Kim, Yun-Gyoo Lee, Inho Jeong, Soo-Youn Ham, Simon S. Woo:
Patch-wise vector quantization for unsupervised medical anomaly detection. 205-211 - Ufuk Can Biçici, Tuna Han Salih Meral, Lale Akarun:
Conditional Information Gain Trellis. 212-218 - Aldo Moscatelli, Jason Piquenot, Maxime Bérar, Pierre Héroux, Sébastien Adam:
Graph node matching for edit distance. 14-20 - Yonghyun Jeong, Doyeon Kim, Pyounggeon Kim, Youngmin Ro, Jongwon Choi:
Self-supervised scheme for generalizing GAN image detection. 219-224 - Yuan Shi, Huiyun Cao, Bin Xia, Rui Zhu, Qingmin Liao, Wenming Yang:
DSR-Diff: Depth map super-resolution with diffusion model. 225-231 - Yuanhao Yue, Laixiang Shi, Zheng Zheng, Long Chen, Zhongyuan Wang, Qin Zou:
Deep motion estimation through adversarial learning for gait recognition. 232-237 - Antonio Javier Gallego, Manuel J. Marín-Jiménez, Raquel Justo, Hélder Oliveira, Antonio Pertusa:
Editorial: Special session on IbPRIA 2023. 238 - Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva:
Decoding class dynamics in learning with noisy labels. 239-245
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