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ORCIDPattern Recognition Letters, Volume 186
Volume 186, 2024
- Chan Sim, Gyeonghwan Kim
:
Cross-attention based dual-similarity network for few-shot learning. 1-6 - Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Polynomial kernel learning for interpolation kernel machines with application to graph classification. 7-13 - Zihao Lin, Jinrong Li, Gang Dai, Tianshui Chen, Shuangping Huang, Jianmin Lin:
Contrastive representation enhancement and learning for handwritten mathematical expression recognition. 14-20 - Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks:
A method for evaluating deep generative models of images for hallucinations in high-order spatial context. 23-29 - Iason-Ioannis Panagos, Giorgos Sfikas, Christophoros Nikou:
Visual speech recognition using compact hypercomplex neural networks. 1-7 - Adjorn van Engelenhoven, Nicola Strisciuglio, Estefanía Talavera:
CAST: Clustering self-Attention using Surrogate Tokens for efficient transformers. 30-36 - Irene Amerini, Victor Sanchez, Luca Maiano:
Editorial for pattern recognition letters special issue on Advances in Disinformation Detection and Media Forensics. 21-22 - Weisheng Li, Yuhao Fang, Lanbing Lv, Shunping Chen:
SiamMAF: A multipath and feature-enhanced thermal infrared tracker. 37-46 - Hanqing Guo, Canlun Zheng, Shiyu Zhao:
Motion-guided small MAV detection in complex and non-planar scenes. 98-105 - Haiju Fan, Xiaona Qin, Shuang Chen, Hubert P. H. Shum, Ming Li:
One-index vector quantization based adversarial attack on image classification. 47-56 - Takuto Sugiyama, Soh Yoshida, Mitsuji Muneyasu:
DRGNN: Disentangled representation graph neural network for diverse category-level recommendations. 78-84 - Cheol-Hwan Yoo, Jang-Hee Yoo, Moon-Ki Back, Woo-Jin Wang, Yong-Goo Shin:
A unified framework to stereotyped behavior detection for screening Autism Spectrum Disorder. 156-163 - Waqar Ali, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo:
Hierarchical Glocal Attention Pooling for Graph Classification. 71-77 - Yibo Lou, Wenjie Zhang, Xiaoning Song, Yang Hua, Xiao-Jun Wu:
EDS: Exploring deeper into semantics for video captioning. 133-140 - Shihui Zhang, Zhigang Huang, Sheng Zhan, Ping Li, Zhiguo Cui, Feiyu Li:
Innovative multi-stage matching for counting anything. 141-147 - Zhijie Wang, Masanori Suganuma, Takayuki Okatani:
Rethinking unsupervised domain adaptation for semantic segmentation. 119-125 - Jiaqi Fan, Enming Zhang, Ying Wei, Yuefeng Wang, Jiakun Xia, Junwei Liu, Xinghong Liu, Shuailei Ma:
DDOWOD: DiffusionDet for open-world object detection. 170-177 - Min Zhang, Yiming Wang, Hongyu Chen, Taihao Li, Shupeng Liu, Xianfeng Gu, Xiaoyin Xu:
Design of a differentiable L-1 norm for pattern recognition and machine learning. 126-132 - Min Zhang, Shupeng Liu, Taihao Li, Huai Chen, Xiaoyin Xu:
Use estimated signal and noise to adjust step size for image restoration. 57-63 - Víctor Romero Bautista, Leopoldo Altamirano Robles, Raquel Díaz-Hernández, Saúl Zapotecas Martínez, Nohemí Sánchez-Medel:
Evaluation of visual SLAM algorithms in unstructured planetary-like and agricultural environments. 106-112 - Mohammad Junayed Hasan, Kazi Rafat, Fuad Rahman, Nabeel Mohammed, Shafin Rahman:
DeepMarkerNet: Leveraging supervision from the Duchenne Marker for spontaneous smile recognition. 148-155 - Fengling Lv, Pinxin Qian, Yang Lu, Hanzi Wang:
Personalized Federated Learning on long-tailed data via knowledge distillation and generated features. 178-183 - Guannan Leng, Yu-Jie Xiong, Chunping Qiu, Congzhou Guo:
Discrete diffusion models with Refined Language-Image Pre-trained representations for remote sensing image captioning. 164-169 - Xinzhi Liu, Jun Yu, Toru Kurihara, Congzhong Wu, Haiyan Zhang, Shu Zhan:
A complex neural network model by Hilbert Transform. 113-118 - Kai Zhao, Tao Wang, Ruixin Zhang, Wei Shen:
Adaptive feature alignment for adversarial training. 184-190 - Simon Kristoffersson Lind, Ziliang Xiong, Per-Erik Forssén, Volker Krüger:
Uncertainty quantification metrics for deep regression. 91-97 - David Torpey, Richard Klein:
DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning. 64-70 - Yiliang Zhang, Yang Lu, Hanzi Wang:
Label-noise learning via uncertainty-aware neighborhood sample selection. 191-197 - Quan Zhou, Yucuan Liang, Zhenqi Zhang, Wenming Cao:
Attribute disentanglement and re-entanglement for generalized zero-shot learning. 1-7 - Anirban Dutta Choudhury, Ananda S. Chowdhury:
Explainable hypergraphs for gait based Parkinson classification. 198-204 - Xiangzhu Meng, Wei Wei, Qiang Liu, Yu Wang, Min Li, Liang Wang:
CvFormer: Cross-view transFormers with pre-training for fMRI analysis of human brain. 85-90 - Indrajeet Kumar Sinha, Shekhar Verma, Krishna Pratap Singh:
FAM: Adaptive federated meta-learning for MRI data. 205-212 - Bingbing Zhang, Ying Zhang, Jianxin Zhang, Qiule Sun, Rong Wang, Qiang Zhang:
Visual-guided hierarchical iterative fusion for multi-modal video action recognition. 213-220 - Beomjo Kim, Kyung-Ah Sohn:
Text-free diffusion inpainting using reference images for enhanced visual fidelity. 221-228 - Jongmin Yu, Hyeontaek Oh, Younkwan Lee, Jinhong Yang:
Denoising diffusion model with adversarial learning for unsupervised anomaly detection on brain MRI images. 229-235 - Deng Li, Jianguang Zhang, Kunhong Wu, Yucheng Shi, Yahong Han:
Pseudo-label refinement via hierarchical contrastive learning for source-free unsupervised domain adaptation. 236-242 - Vasileios Moustakidis, Nikolaos Passalis, Anastasios Tefas:
Online probabilistic knowledge distillation on cryptocurrency trading using Deep Reinforcement Learning. 243-249 - Jinfeng Li, Meiling Feng, Chengyi Xia:
DBCvT: Double Branch Convolutional Transformer for Medical Image Classification. 250-257 - Ting-Ruen Wei, Yuan Wang, Yoshitaka Inoue, Hsin-Tai Wu, Yi Fang:
Table Transformers for imputing textual attributes. 258-264 - Alexander Kolpakov, Michael Werman:
Robust affine point matching via quadratic assignment on Grassmannians. 265-271 - Francesco Giuliari, Gianluca Scarpellini, Stefano Fiorini, Stuart James, Pietro Morerio, Yiming Wang, Alessio Del Bue:
Positional diffusion: Graph-based diffusion models for set ordering. 272-278 - Jiadi Dong, Tianwei Qian, Yuxian Jiang, Lei Bi, Jinman Kim, Lisheng Wang, Xun Xu:
ClarityDiffuseNet: Enhancing fundus image quality under black shadows with diffusion model-based research. 279-285 - Nadeem Iqbal Kajla, Malik Muhammad Saad Missen, Mickaël Coustaty, Hafiz Muhammad Sanaullah Badar, Maruf Pasha, Faiza Belbachir:
A histogram-based approach to calculate graph similarity using graph neural networks. 286-291 - Junghyun Seo, Sungjun Wang, Hyeonjae Jeon, Taesoo Kim, Yongsik Jin, Soon Kwon, Jeseok Kim, Yongseob Lim:
LuminanceGAN: Controlling the brightness of generated images for various night conditions. 292-299 - Nujud Aloshban, Anna Esposito, Alessandro Vinciarelli, Tanaya Guha:
On the effects of obfuscating speaker attributes in privacy-aware depression detection. 300-305 - Mingxuan Chen, Shiqi Li, Xujun Wei, Jiacheng Song:
MMIFR: Multi-modal industry focused data repository. 306-313 - Nan Yang, Cheuk Hang Leung, Xing Yan:
A novel HMM distance measure with state alignment. 314-321 - Liping Zhu, Yixuan Yang, Kai Liu, Silin Wu, Bingyao Wang, Xianxiang Chang:
Regional dynamic point cloud completion network. 322-329 - Ling Zhou, Weidong Zhang, Yuchao Zheng, Jianping Wang, Wenyi Zhao:
Local Reference Feature Transfer (LRFT): A simple pre-processing step for image enhancement. 330-336 - Ahmed Abdelkawy, Aly A. Farag, Islam Alkabbany, Asem M. Ali, Chris Foreman, Thomas Tretter, Nicholas Hindy:
Measuring student behavioral engagement using histogram of actions. 337-344
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