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Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer
Publications associées (44)
Aggregating Spatial and Photometric Context for Photometric Stereo
Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...
EPFL2024A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning
Ultrafast ultrasound imaging, characterized by high frame rates, generates low-quality images. Convolutional neural networks (CNNs) have demonstrated great potential to enhance image quality without compromising the frame rate. However, CNNs have been most ...
2023Understanding the mechanisms of non-thermal plasma treatments on seeds
The motivation driving plasma-seed treatment research is the renewed importance of sustainable, eco-friendly agriculture. There is a constant interest in finding alternatives to minimize resource use and environmental degradation, while ensuring healthy se ...
EPFL2022RNA Sequencing of Arabidopsis thaliana Seedlings after Non-Thermal Plasma-Seed Treatment Reveals Upregulation in Plant Stress and Defense Pathways
Ivo Furno, Alan Howling, Alexandra Waskow
Not all agricultural practices are sustainable; however, non-thermal plasma treatment of seeds may be an eco-friendly alternative to improve macroscopic plant growth parameters. Despite the numerous successful results of plasma-seed treatments reported in ...
MDPI2022Deep Image Restoration: Between Data Fidelity and Learned Priors
Image restoration reconstructs, as faithfully as possible, an original image from a potentially degraded version of it. Image degradations can be of various types, for instance haze, unwanted reflections, optical or spectral aberrations, or other physicall ...
EPFL2021Conditions for the emergence of circumnutations in plant roots
Dario Floreano, Ilya Loshchilov
The plant root system shows remarkably complex behaviors driven by environmental cues and internal dynamics, whose interplay remains largely unknown. A notable example is circumnutation growth movements, which are growth oscillations from side to side of t ...
2021On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis
Luc Thévenaz, Zhisheng Yang, Simon Adrien Zaslawski
The benefits and limitations inherent to the 2D post-processing of measurements from Brillouin optical time-domain analyzers are investigated from a fundamental point of view. In a preliminary step, the impact of curve fitting on the precision of the estim ...
2020Fully automated gridding reconstruction for non-Cartesian x-space magnetic particle imaging
Magnetic particle imaging (MPI) is a fast emerging biomedical imaging modality that exploits the nonlinear response of superparamagnetic iron oxide (SPIO) nanoparticles to image their spatial distribution. Previously, various scanning trajectories were ana ...
2019Method, system, and device for learned invariant feature transform for computer images
Pascal Fua, Vincent Lepetit, Kwang Moo Yi, Eduard Trulls Fortuny
A method for training a feature detector of an image processing device, including the steps of detecting features in the image to generate a score map, computing a center of mass on the score map to generate a location, extracting a patch from the image at ...
2018Deep Convolutional Neural Network for Ultrasound Image Enhancement
Jean-Philippe Thiran, Dimitris Perdios, Marcel Arditi, Adrien Besson, Florian Martinez, Manuel Vonlanthen
The problem of improving image quality in ultrafast ultrasound (US) imaging by means of regularized iterative algorithms has raised a vast interest in the US community. These approaches usually rely on standard image processing priors, such as wavelet spar ...
IEEE2018