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Study on defect detection of metal castings based on supervised enhancement and attention distillation Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-23 Haixia Pan, Han Zhao, Xingyun Wei, Dongdong Zhang, Biao Dong, Jiahua Lan
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OmniGlasses: an optical aid for stereo vision CNNs to enable omnidirectional image processing Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-23 Julian B. Seuffert, Ana C. Perez Grassi, Hamza Ahmed, Roman Seidel, Gangolf Hirtz
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ET-PointPillars: improved PointPillars for 3D object detection based on optimized voxel downsampling Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-21 Yiyi Liu, Zhengyi Yang, JianLin Tong, Jiajia Yang, Jiongcheng Peng, Lihang Zhang, Wangxin Cheng
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PSRUNet: a recurrent neural network for spatiotemporal sequence forecasting based on parallel simple recurrent unit Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-20 Wei Tian, Fan Luo, Kailing Shen
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PTDS CenterTrack: pedestrian tracking in dense scenes with re-identification and feature enhancement Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-15 Jiazheng Wen, Huanyu Liu, Junbao Li
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BoostTrack: boosting the similarity measure and detection confidence for improved multiple object tracking Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-12 Vukasin D. Stanojevic, Branimir T. Todorovic
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AP-TransNet: a polarized transformer based aerial human action recognition framework Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-10 Chhavi Dhiman, Anunay Varshney, Ved Vyapak
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DisRot: boosting the generalization capability of few-shot learning via knowledge distillation and self-supervised learning Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-09 Chenyu Ma, Jinfang Jia, Jianqiang Huang, Li Wu, Xiaoying Wang
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Lunar ground segmentation using a modified U-net neural network Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-09 Georgios Petrakis, Panagiotis Partsinevelos
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Tensor-guided learning for image denoising using anisotropic PDEs Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-08 Fakhr-eddine Limami, Aissam Hadri, Lekbir Afraites, Amine Laghrib
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The improvement of ground truth annotation in public datasets for human detection Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-08 Sotheany Nou, Joong-Sun Lee, Nagaaki Ohyama, Takashi Obi
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Keyframe-based RGB-D dense visual SLAM fused semantic cues in dynamic scenes Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-07 Wugen Zhou, Xiaodong Peng, Yun Li, Mingrui Fan, Bo Liu
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Multi-person 3D pose estimation from unlabelled data Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-06 Daniel Rodriguez-Criado, Pilar Bachiller-Burgos, George Vogiatzis, Luis J. Manso
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USIR-Net: sand-dust image restoration based on unsupervised learning Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-04-01 Yuan Ding, Kaijun Wu
In sand-dust weather, the influence of sand-dust particles on imaging equipment often results in images with color deviation, blurring, and low contrast, among other issues. These problems making many traditional image restoration methods unable to accurately estimate the semantic information of the images and consequently resulting in poor restoration of clear images. Most current image restoration
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YOLOMH: you only look once for multi-task driving perception with high efficiency Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-29 Liu Fang, Sun Bowen, Miao Jianxi, Su Weixing
Aiming at the requirements of high accuracy, lightweight and real-time performance of the panoptic driving perception system, this paper proposes an efficient multi-task network (YOLOMH). The network uses a shared encoder and three independent decoding heads to simultaneously complete the three major panoptic driving perception tasks of traffic object detection, road drivable area segmentation and
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Ssman: self-supervised masked adaptive network for 3D human pose estimation Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-27
Abstract The modern deep learning-based models for 3D human pose estimation from monocular images always lack the adaption ability between occlusion and non-occlusion scenarios, which might restrict the performance of current methods when faced with various scales of occluded conditions. In an attempt to tackle this problem, we propose a novel network called self-supervised masked adaptive network
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Kernel based local matching network for video object segmentation Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-25 Guoqiang Wang, Lan Li, Min Zhu, Rui Zhao, Xiang Zhang
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AFMCT: adaptive fusion module based on cross-modal transformer block for 3D object detection Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-23 Bingli Zhang, Yixin Wang, Chengbiao Zhang, Junzhao Jiang, Zehao Pan, Jin Cheng, Yangyang Zhang, Xinyu Wang, Chenglei Yang, Yanhui Wang
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Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-23 David Bojanić, Kristijan Bartol, Josep Forest, Tomislav Petković, Tomislav Pribanić
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Hyperspectral image dynamic range reconstruction using deep neural network-based denoising methods Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-22 Loran Cheplanov, Shai Avidan, David J. Bonfil, Iftach Klapp
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Point cloud registration with quantile assignment Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-19 Ecenur Oğuz, Yalım Doğan, Uğur Güdükbay, Oya Karaşan, Mustafa Pınar
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An image quality assessment method based on edge extraction and singular value for blurriness Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-19 Lei Zhou, Chuanlin Liu, Amit Yadav, Sami Azam, Asif Karim
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Temporal teacher with masked transformers for semi-supervised action proposal generation Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-15 Selen Pehlivan, Jorma Laaksonen
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Adversarial robustness improvement for deep neural networks Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-14 Charis Eleftheriadis, Andreas Symeonidis, Panagiotis Katsaros
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FESAR: SAR ship detection model based on local spatial relationship capture and fused convolutional enhancement Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-08 Chongchong Liu, Chunman Yan
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An adaptive interpolation and 3D reconstruction algorithm for underwater images Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-07 Zhijie Tang, Congqi Xu, Siyu Yan
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Self-supervised Siamese keypoint inference network for human pose estimation and tracking Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-05
Abstract Human pose estimation and tracking are important tasks to help understand human behavior. Currently, human pose estimation and tracking face the challenges of missed detection due to sparse annotation of video datasets and difficulty in associating partially occluded and unoccluded cases of the same person. To address these challenges, we propose a self-supervised learning-based method, which
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That’s BAD: blind anomaly detection by implicit local feature clustering Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-03-02 Jie Zhang, Masanori Suganuma, Takayuki Okatani
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A pixel and channel enhanced up-sampling module for biomedical image segmentation Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-02-22 Xuan Zhang, Guoping Xu, Xinglong Wu, Wentao Liao, Xuesong Leng, Xiaxia Wang, Xinwei He, Chang Li
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A gradient fusion-based image data augmentation method for reflective workpieces detection under small size datasets Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-02-21 Baori Zhang, Haolang Cai, Lingxiang Wen
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Target–distractor memory joint tracking algorithm via Credit Allocation Network Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-02-09 Huanlong Zhang, Panyun Wang, Zhiwu Chen, Jie Zhang, Linwei Li
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End-to-end optimized image compression with the frequency-oriented transform Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-02-07 Yuefeng Zhang, Kai Lin
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Interaction semantic segmentation network via progressive supervised learning Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-02-05
Abstract Semantic segmentation requires both low-level details and high-level semantics, without losing too much detail and ensuring the speed of inference. Most existing segmentation approaches leverage low- and high-level features from pre-trained models. We propose an interaction semantic segmentation network via Progressive Supervised Learning (ISSNet). Unlike a simple fusion of two sets of features
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A review of adaptable conventional image processing pipelines and deep learning on limited datasets Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-01-31 Friedrich Rieken Münke, Jan Schützke, Felix Berens, Markus Reischl
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STARNet: spatio-temporal aware recurrent network for efficient video object detection on embedded devices Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-01-31 Mohammad Hajizadeh, Mohammad Sabokrou, Adel Rahmani
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Regional filtering distillation for object detection Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-01-31
Abstract Knowledge distillation is a common and effective method in model compression, which trains a compact student model to mimic the capability of a large teacher model to get superior generalization. Previous works on knowledge distillation are underperforming for challenging tasks such as object detection, compared to the general application of unsophisticated classification tasks. In this paper
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SGBGAN: minority class image generation for class-imbalanced datasets Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-01-29 Qian Wan, Wenhui Guo, Yanjiang Wang
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Tackling confusion among actions for action segmentation with adaptive margin and energy-driven refinement Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-01-27 Zhichao Ma, Kan Li
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Obs-tackle: an obstacle detection system to assist navigation of visually impaired using smartphones Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-01-19 U. Vijetha, V. Geetha
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Optimization model based on attention mechanism for few-shot image classification Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-01-19 Ruizhi Liao, Junhai Zhai, Feng Zhang
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Multi-view spectral clustering based on constrained Laplacian rank Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-01-12 Jinmei Song, Baokai Liu, Yao Yu, Kaiwu Zhang, Shiqiang Du
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High-accuracy 3D locators tracking in real time using monocular vision Mach. Vis. Appl. (IF 3.3) Pub Date : 2024-01-11 C. Elmo Kulanesan, P. Vacher, L. Charleux, E. Roux
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Local region-learning modules for point cloud classification Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-12-21 Kaya Turgut, Helin Dutagaci
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A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-12-19 Lili Fan, Guifu Lu, Ganyi Tang, Yong Wang
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Cancelable face recognition using phase retrieval and complex principal component analysis network Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-12-17 Zhuhong Shao, Leding Li, Zuowei Zhang, Bicao Li, Xilin Liu, Yuanyuan Shang, Bin Chen
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Biomimetic oculomotor control with spiking neural networks Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-12-18 Taasin Saquib, Demetri Terzopoulos
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DetailPoint: detailed feature learning on point clouds with attention mechanism Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-12-18 Ying Li, Jincheng Bai, Huankun Sheng
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Few-shot object detection via data augmentation and distribution calibration Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-12-08 Songhao Zhu, Kai Zhang
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Pixel representations, sampling, and label correction for semantic part detection Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-12-06 Jiao-Chuan Huang, You-Lin Lin, Wen-Chieh Fang
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Spatial-temporal graph-guided global attention network for video-based person re-identification Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-12-03 Xiaobao Li, Wen Wang, Qingyong Li, Jiang Zhang
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Visual complexity of urban streetscapes: human vs computer vision Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-12-02 Pietro Florio, Thomas Leduc, Yannick Sutter, Roland Brémond
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Normalized margin loss for action unit detection Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-12-03 Andrei Racoviteanu, Corneliu Florea, Laura Florea, Constantin Vertan
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Learning to explore by reinforcement over high-level options Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-11-30 Juncheng Liu, Brendan McCane, Steven Mills
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Csf: global–local shading orders for intrinsic image decomposition Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-11-27 Handan Zhang, Tie Liu, Yuanliu Liu, Zejian Yuan
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A stereo vision SLAM with moving vehicles tracking in outdoor environment Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-11-28 Chuyuan Hong, Meiling Zhong, Zhaoqian Jia, Changjiang You, Zhiguo Wang
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IoU-aware feature fusion R-CNN for dense object detection Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-11-18 Jixuan Hong, Xueqin He, Zhaoli Deng, Chenhui Yang
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A dual progressive strategy for long-tailed visual recognition Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-11-06 Hong Liang, Guoqing Cao, Mingwen Shao, Qian Zhang
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Automatic label assignment object detection mehtod on only one feature map Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-11-07 Tingsong Ma, Zengxi Huang, Nijing Yang, Changyu Zhu, Ping Deng
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LTM: efficient learning with triangular topology constraint for feature matching with heavy outliers Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-11-01 Chentao Shen, Zaixing He, Xinyue Zhao, Wenfeng Cui, Huarong Shen
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Position Puzzle Network and Augmentation: localizing human keypoints beyond the bounding box Mach. Vis. Appl. (IF 3.3) Pub Date : 2023-10-27 Soonchan Park, Jinah Park