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Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2969917
Abstract: This letter presents a novel, compute-efficient and training-free approach based on Histogram-of-Oriented-Gradients (HOG) descriptor for achieving state-of-the-art performance-per-compute-unit in Visual Place Recognition (VPR). The inspiration for this approach (namely CoHOG) is based on the convolutional…
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Keywords:
place recognition;
place;
training free;
efficient training ... See more keywords
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Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3606790
Abstract: We introduce Select2Plan (S2P), a novel training-free framework for high-level robot planning that leverages off-the-shelf Vision-Language Models (VLMs) for autonomous navigation. Unlike most learning-based approaches that require extensive task-specific training and large-scale data collection, S2P…
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Keywords:
training free;
navigation;
memory retrieval;
select2plan ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3547337
Abstract: Transition videos play a crucial role in media production, enhancing the flow and coherence of visual narratives. Traditional methods like morphing often lack artistic appeal and require specialized skills, limiting their effectiveness. Recent advances in…
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Keywords:
free transition;
training free;
transition;
video generation ... See more keywords
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Published in 2022 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2022.3147721
Abstract: Existing research work has identified a new class of attacks that can eavesdrop on the keystrokes in a non-invasive way without infecting the target computer to install malware. The common idea is that pressing a…
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Keywords:
wireless training;
training free;
free keystroke;
defense ... See more keywords
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Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3069436
Abstract: Energy consumption is an important issue for resource-constrained wireless neural recording applications with limited data bandwidth. Compressed sensing (CS) is a promising framework for addressing this challenge because it can compress data in an energy-efficient…
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Keywords:
neural action;
deep generative;
training free;
action potentials ... See more keywords
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Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3255639
Abstract: objective: Early diagnosis of infant cerebral palsy (CP) is very important for infant health. In this paper, we present a novel training-free method to quantify infant spontaneous movements for predicting CP. Methods: Unlike other classification…
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Keywords:
training free;
infant spontaneous;
method;
spontaneous movement ... See more keywords
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Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2024.3378781
Abstract: Transformers have shown remarkable performance, however, their architecture design is a time-consuming process that demands expertise and trial-and-error. Thus, it is worthwhile to investigate efficient methods for automatically searching high-performance Transformers via Transformer Architecture Search…
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Keywords:
training free;
architecture search;
search;
transformer architecture ... See more keywords
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Published in 2025 at "GYMNASIUM"
DOI: 10.29081/gsjesh.2025.26.2.8
Abstract: This study aims to analyse the scientific literature and highlight the effects of training with free weights compared to training using machines in the context of applying intermittent fasting as a method of manipulating body composition. Our…
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Keywords:
review;
training free;
intermittent fasting;
effects training ... See more keywords