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Object Detection
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Object Detection
Deep Learning in Ultrasound localization Microscopy: Applications and perspectives
Ultrasound Localization Microscopy (ULM) is a novel super-resolution imaging technique that can image the vasculature in vivo at depth …
Brice Rauby
,
Paul Xing
,
Maxime Gasse
,
Jean Provost
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (IEEE TUFFC), 2025.
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Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and …
Brice Rauby
,
Paul Xing
,
Jonathan Porée
,
Maxime Gasse
,
Jean Provost
IEEE Transactions on Image Processing (IEEE TIP), 2025.
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Citation
Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and …
Brice Rauby
,
Paul Xing
,
Jonathan Porée
,
Maxime Gasse
,
Jean Provost
ArXiv, 2024.
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Citation
Code
A Planning based Neural-Symbolic Approach for Embodied Instruction Following
The ALFRED environment features embodied instruction following tasks in simulated home environments. However, end-to-end deep learning …
Xiaotian Liu
,
Hector Palacios
,
Christian Muise
Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
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A Survey of Self-Supervised and Few-Shot Object Detection
Labeling data is often expensive and time-consuming, especially for tasks such as object detection and instance segmentation, which …
Gabriel Huang
,
Issam H. Laradji
,
David Vazquez
,
Simon Lacoste-Julien
,
Pau Rodriguez
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.
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Logo Detection with no Priors
In recent years, top referred methods on object detection like R-CNN have implemented this task as a combination of proposal region …
Diego Velazquez
,
Josep M. Gonfaus
,
Pau Rodriguez
,
F. Xavier Roca
,
Seiichi Ozawa
,
Jordi Gonzalez
The Multidisciplinary Open Access Journal (IEEE Access), 2021.
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