Search Results - "Anton, Milan"
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1
Multi-Target Tracking by Discrete-Continuous Energy Minimization
Published in IEEE transactions on pattern analysis and machine intelligence (01-10-2016)“…The task of tracking multiple targets is often addressed with the so-called tracking-by-detection paradigm, where the first step is to obtain a set of target…”
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RefineNet: Multi-Path Refinement Networks for Dense Prediction
Published in IEEE transactions on pattern analysis and machine intelligence (01-05-2020)“…Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense…”
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3
RGB-D object detection and semantic segmentation for autonomous manipulation in clutter
Published in The International journal of robotics research (01-04-2018)“…Autonomous robotic manipulation in clutter is challenging. A large variety of objects must be perceived in complex scenes, where they are partially occluded…”
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MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking
Published in International journal of computer vision (01-04-2021)“…Standardized benchmarks have been crucial in pushing the performance of computer vision algorithms, especially since the advent of deep learning. Although…”
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5
Multiple object tracking: A literature review
Published in Artificial intelligence (01-04-2021)“…Multiple Object Tracking (MOT) has gained increasing attention due to its academic and commercial potential. Although different approaches have been proposed…”
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PoseTrack: Joint Multi-person Pose Estimation and Tracking
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-07-2017)“…In this work, we introduce the challenging problem of joint multi-person pose estimation and tracking of an unknown number of persons in unconstrained videos…”
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PoseTrack: A Benchmark for Human Pose Estimation and Tracking
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01-06-2018)“…Existing systems for video-based pose estimation and tracking struggle to perform well on realistic videos with multiple people and often fail to output…”
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8
Joint Probabilistic Data Association Revisited
Published in 2015 IEEE International Conference on Computer Vision (ICCV) (01-12-2015)“…In this paper, we revisit the joint probabilistic data association (JPDA) technique and propose a novel solution based on recent developments in finding the…”
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9
Learn to Predict Sets Using Feed-Forward Neural Networks
Published in IEEE transactions on pattern analysis and machine intelligence (01-12-2022)“…This paper addresses the task of set prediction using deep feed-forward neural networks. A set is a collection of elements which is invariant under permutation…”
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10
Learning People Detectors for Tracking in Crowded Scenes
Published in 2013 IEEE International Conference on Computer Vision (01-12-2013)“…People tracking in crowded real-world scenes is challenging due to frequent and long-term occlusions. Recent tracking methods obtain the image evidence from…”
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11
Joint tracking and segmentation of multiple targets
Published in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2015)“…Tracking-by-detection has proven to be the most successful strategy to address the task of tracking multiple targets in unconstrained scenarios [e.g. 40, 53,…”
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Conference Proceeding -
12
Implementation and Evaluation of a Gait Training Assistant for the Use of Crutches: Usability Study
Published in JMIR human factors (16-08-2024)“…Surgical procedures on the lower extremities often require weight-bearing on crutches as part of the rehabilitation process. Orthopedic elective procedures…”
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13
Comparison of the scientific performance in hip and knee arthroplasty between the leading continents
Published in Frontiers in surgery (17-11-2023)“…Background Scientific progress in the field of knee and hip arthroplasty has enabled the preservation of mobility and quality of life in the case of patients…”
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14
COVID-19: a catalyst for the digitization of surgical teaching at a German University Hospital
Published in BMC medical education (22-04-2022)“…The summer semester 2020, had to be restructured due to the SARS-CoV-2 pandemic and the associated contact restrictions. Here, for the first time, the…”
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The role of miR-409-3p in regulation of HPV16/18-E6 mRNA in human cervical high-grade squamous intraepithelial lesions
Published in Antiviral research (01-03-2019)“…Cervical cancer is one of the most common malignancies in women. MicroRNAs (miRNAs) are involved in a variety of fundamental cellular processes, including…”
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Electrochemical DNA biosensor coupled to LAMP reaction for early diagnostics of cervical precancerous lesions
Published in Biosensors and bioelectronics. X (01-12-2022)“…Electrochemical (EC) biosensors are potentially useful tools for detection of DNA and RNA cancer biomarkers. Gold screen-printed electrodes (AuSPEs) are…”
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Subgroup analysis of scientific performance in the field of arthroplasty
Published in Frontiers in surgery (12-06-2023)“…Arthroplasty is the final treatment option for maintaining mobility and quality of life in many primary degenerative and (post-) traumatic joint diseases…”
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Expression and Functional Characterization of miR-34c in Cervical Cancer
Published in Klinicka onkologie : casopis Ceske a Slovenske onkologicke spolecnosti (2018)“…Cervical cancer is the fourth most common cancer in women and is usually associated with human papillomavirus infection. Viral infections are usually…”
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Continuous Energy Minimization for Multitarget Tracking
Published in IEEE transactions on pattern analysis and machine intelligence (01-01-2014)“…Many recent advances in multiple target tracking aim at finding a (nearly) optimal set of trajectories within a temporal window. To handle the large space of…”
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20
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-07-2017)“…Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense…”
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Conference Proceeding