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ORCIDImage and Vision Computing, Volume 162
Volume 162, 2025
- Junxiong Zhang, Jin Peng, Kaiyun Wang:
Athlete posture estimation and analysis based on embodied artificial intelligence. 105598 - Xing Liu, Hao Tang:
BCDPose: Diffusion-based 3D Human Pose Estimation with bone-chain prior knowledge. 105636 - Zhilong Ou, Hongxing Wang, Jiawei Tan, Jiaxin Li, Ziyi Zhao, Zhangbin Qian:
Label refinement for change detection in remote sensing. 105639 - Chunsing Lo, Hao Zhang, Andy J. Ma:
Invariant prompting with classifier rectification for continual learning. 105641 - Qiyue Sun, Yang Yang, Haoxuan Xu, Zezhou Li, Yunxia Liu, Hongjun Wang:
MG-KG: Unsupervised video anomaly detection based on motion guidance and knowledge graph. 105644 - Yingcheng Lin, Yuxiao Wang, Rui Ding, Haijun Liu, Xichuan Zhou:
Distribution-modulated binary neural network for image classification. 105646 - Yujie Wu, Hengliang Tan, Jiao Du, Shuo Yang, Guofeng Yan:
Deep Hybrid Manifold Network with joint metric learning for image set classification. 105647 - Dahuin Jung:
Harnessing consistency for improved test-time adaptation. 105650 - Minchen Yang, Ziyi Yang, Nur Intan Raihana Ruhaiyem:
MAFUNet: Mamba with adaptive fusion UNet for medical image segmentation. 105655 - Tichao Wang, Fusheng Hao, Qieshi Zhang, Jun Cheng:
Progressive background-foreground difference enhancement for few-shot 3D point cloud semantic segmentation. 105656 - Haotian Lei, Xiangyu Liu, Yan Zhou, Guo Niu, Chang'an Yi, Yuexia Zhou, Xiaofeng Liang, Fuhe Liu:
MMFEIR: Multi-attention Mutual Feature Enhance and Instance Reconstruction for category-level 6D object pose estimation. 105657 - Serena Lembo, Paola Barra, Luigi Di Biasi, Thierry Bouwmans, Genoveffa Tortora:
AI4RDD: Artificial Intelligence and Rare Disease Diagnosis: A proposal to improve the anamnesis process. 105658 - Qiqi Kou, Jiapeng Chen, Hailong Zhang, Tianshu Song, He Jiang, Deqiang Cheng, Liangliang Chen:
DMNet: Image dehazing via Dual-Domain Modulation. 105659 - Davide Caffagni, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Augmenting and mixing Transformers with synthetic data for image captioning. 105661 - Wei Gao, Li Jin, Youssef Akoudad, Yang Yang:
APS-NeuS: Adaptive planar and skip-sampling for 3D object surface reconstruction in high-specular scenes. 105665 - Zeynep Hilal Kilimci, Mustafa Yalcin, Ayhan Kucukmanisa, Amit Kumar Mishra:
Advancing heart disease diagnosis with vision-based transformer architectures applied to ECG imagery. 105666 - Marcello Di Giammarco, Antonella Santone, Mario Cesarelli, Fabio Martinelli, Francesco Mercaldo:
Explainable retinal disease classification and localization through Convolutional Neural Networks. 105667 - Alessandro Sebastian Podda, Riccardo Balia, Marco Manolo Manca, Jacopo Martellucci, Livio Pompianu:
A deep learning strategy for the 3D segmentation of colorectal tumors from ultrasound imaging. 105668 - Liangyu Zhou, Xiaoyan Luo, Rui Xue:
Modal-aware contrastive learning for hyperspectral and LiDAR classification. 105669 - Rahim Khan, Nada Alzaben, Yousef Ibrahim Daradkeh, Xianxun Zhu, Inam Ullah:
Pyramidal attention with progressive multi-stage iterative feature refinement for salient object segmentation. 105670 - Yue Huang, Pan Wang, Yumei Zheng, Bochuan Zheng:
Lightweight multi-scale global attention enhancement network for image super-resolution. 105671 - Amirreza Fateh, Mohammad Reza Mohammadi, Mohammad Reza Jahed-Motlagh:
MSDNet: Multi-scale decoder for few-shot semantic segmentation via transformer-guided prototyping. 105672 - Hussein Hasan, Miguel Ángel García, Hatem A. Rashwan, Domenec Puig:
CoHAtNet: An integrated convolutional-transformer architecture with hybrid self-attention for end-to-end camera localization. 105674 - Zhongxuan Zhang, Bi Zeng, Xinyu Ni, Yimin Du:
BTMTrack: Robust RGB-T tracking via dual-template bridging and temporal-modal candidate elimination. 105676 - Huiyu Luo:
Combining spatio-temporal attention and multi-level feature fusion for video saliency prediction. 105678 - Zunair Safdar, Jinfang Sheng, Muhammad Usman Saeed, Muhammad Ramzan, A. Al-Zubaidi:
Empowering cardiovascular diagnostics with SET-MobileNet: A lightweight and accurate deep learning based classification approach. 105684
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