- 2024
- Yu Bi, Zhenxue Chen, Chengyun Liu, Tian Liang, Fei Zheng:
Supervised contrastive learning with multi-scale interaction and integrity learning for salient object detection. Mach. Vis. Appl. 35(4): 74 (2024) - Jonathan Boisclair, Ali Akrem Amamou, Sousso Kelouwani, M. Zeshan Alam, Hedi Oueslati, Lotfi Zeghmi, Kodjo Agbossou:
A tree-based approach for visible and thermal sensor fusion in winter autonomous driving. Mach. Vis. Appl. 35(4): 60 (2024) - David Bojanic, Kristijan Bartol, Josep Forest, Tomislav Petkovic, Tomislav Pribanic:
Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark. Mach. Vis. Appl. 35(3): 41 (2024) - Duy Cuong Bui, Ngan Linh Nguyen, Anh Hiep Hoang, Myungsik Yoo:
CAMTrack: a combined appearance-motion method for multiple-object tracking. Mach. Vis. Appl. 35(4): 62 (2024) - Han Chen, Yongxiong Wang:
Chfnet: a coarse-to-fine hierarchical refinement model for monocular depth estimation. Mach. Vis. Appl. 35(4): 78 (2024) - Loran Cheplanov, Shai Avidan, David J. Bonfil, Iftach Klapp:
Hyperspectral image dynamic range reconstruction using deep neural network-based denoising methods. Mach. Vis. Appl. 35(3): 39 (2024) - Chhavi Dhiman, Anunay Varshney, Ved Vyapak:
AP-TransNet: a polarized transformer based aerial human action recognition framework. Mach. Vis. Appl. 35(3): 52 (2024) - Yuan Ding, Kaijun Wu:
USIR-Net: sand-dust image restoration based on unsupervised learning. Mach. Vis. Appl. 35(3): 45 (2024) - Charis Eleftheriadis, Andreas L. Symeonidis, Panagiotis Katsaros:
Adversarial robustness improvement for deep neural networks. Mach. Vis. Appl. 35(3): 35 (2024) - Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang:
A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering. Mach. Vis. Appl. 35(1): 15 (2024) - Liu Fang, Bowen Sun, Jianxi Miao, Weixing Su:
YOLOMH: you only look once for multi-task driving perception with high efficiency. Mach. Vis. Appl. 35(3): 44 (2024) - Pietro Florio, Thomas Leduc, Yannick Sutter, Roland Brémond:
Visual complexity of urban streetscapes: human vs computer vision. Mach. Vis. Appl. 35(1): 7 (2024) - Mohammad Hajizadeh, Mohammad Sabokrou, Adel Rahmani:
STARNet: spatio-temporal aware recurrent network for efficient video object detection on embedded devices. Mach. Vis. Appl. 35(2): 23 (2024) - Xu Han, Haozhe Cheng, Pengcheng Shi, Jihua Zhu:
Trusted 3D self-supervised representation learning with cross-modal settings. Mach. Vis. Appl. 35(4): 77 (2024) - Jixuan Hong, Xueqin He, Zhaoli Deng, Chenhui Yang:
IoU-aware feature fusion R-CNN for dense object detection. Mach. Vis. Appl. 35(1): 3 (2024) - Chuyuan Hong, Meiling Zhong, Zhaoqian Jia, Changjiang You, Zhiguo Wang:
A stereo vision SLAM with moving vehicles tracking in outdoor environment. Mach. Vis. Appl. 35(1): 5 (2024) - Jiao-Chuan Huang, You-Lin Lin, Wen-Chieh Fang:
Pixel representations, sampling, and label correction for semantic part detection. Mach. Vis. Appl. 35(1): 10 (2024) - Anish Monsley Kirupakaran, Rabul Hussain Laskar:
Scale-adaptive gesture computing: detection, tracking and recognition in controlled complex environments. Mach. Vis. Appl. 35(4): 75 (2024) - Jan Küchler, Daniel Kröll, Sebastian Schoenen, Andreas Witte:
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling. Mach. Vis. Appl. 35(4): 66 (2024) - C. Elmo Kulanesan, P. Vacher, Laure L. Charleux, Emmanuel Roux:
High-accuracy 3D locators tracking in real time using monocular vision. Mach. Vis. Appl. 35(2): 17 (2024) - Ying Li, Jincheng Bai, Huankun Sheng:
DetailPoint: detailed feature learning on point clouds with attention mechanism. Mach. Vis. Appl. 35(1): 13 (2024) - Xiaobao Li, Wen Wang, Qingyong Li, Jiang Zhang:
Spatial-temporal graph-guided global attention network for video-based person re-identification. Mach. Vis. Appl. 35(1): 8 (2024) - Hong Liang, Guoqing Cao, Mingwen Shao, Qian Zhang:
A dual progressive strategy for long-tailed visual recognition. Mach. Vis. Appl. 35(1): 1 (2024) - Ruizhi Liao, Junhai Zhai, Feng Zhang:
Optimization model based on attention mechanism for few-shot image classification. Mach. Vis. Appl. 35(2): 19 (2024) - Fakhr-eddine Limami, Aissam Hadri, Lekbir Afraites, Amine Laghrib:
Tensor-guided learning for image denoising using anisotropic PDEs. Mach. Vis. Appl. 35(3): 48 (2024) - Juncheng Liu, Brendan McCane, Steven Mills:
Learning to explore by reinforcement over high-level options. Mach. Vis. Appl. 35(1): 6 (2024) - Jishi Liu, Huanyu Wang, Junnian Wang, Dalin He, Ruihan Xu, Xiongfeng Tang:
Thermal infrared action recognition with two-stream shift Graph Convolutional Network. Mach. Vis. Appl. 35(4): 65 (2024) - Chongchong Liu, Chunman Yan:
FESAR: SAR ship detection model based on local spatial relationship capture and fused convolutional enhancement. Mach. Vis. Appl. 35(2): 34 (2024) - Yiyi Liu, Zhengyi Yang, JianLin Tong, Jiajia Yang, Jiongcheng Peng, Lihang Zhang, Wangxin Cheng:
ET-PointPillars: improved PointPillars for 3D object detection based on optimized voxel downsampling. Mach. Vis. Appl. 35(3): 56 (2024) - Tingsong Ma, Zengxi Huang, Nijing Yang, Changyu Zhu, Ping Deng:
Automatic label assignment object detection mehtod on only one feature map. Mach. Vis. Appl. 35(1): 2 (2024)