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05/31/2023
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles
When used by autonomous vehicles for trajectory planning or obstacle avo...
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02/06/2023
NA-SODINN: a deep learning algorithm for exoplanet image detection based on residual noise regimes
Supervised machine learning was recently introduced in high-contrast ima...
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12/07/2022
Adaptive Self-Training for Object Detection
Deep learning has emerged as an effective solution for solving the task ...
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09/03/2022
Error-rate in Viterbi decoding of a duobinary signal in presence of noise and distortions: theory and simulation
The Viterbi algorithm, presented in 1967, allows a maximum likelihood de...
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02/25/2022
An exploration of the performances achievable by combining unsupervised background subtraction algorithms
Background subtraction (BGS) is a common choice for performing motion de...
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10/01/2021
Survey and synthesis of state of the art in driver monitoring
Road-vehicle accidents are mostly due to human errors, and many such acc...
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09/03/2021
Ordinal Pooling
In the framework of convolutional neural networks, downsampling is often...
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05/20/2021
M4Depth: A motion-based approach for monocular depth estimation on video sequences
Getting the distance to objects is crucial for autonomous vehicles. In i...
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02/13/2020
Summarizing the performances of a background subtraction algorithm measured on several videos
There exist many background subtraction algorithms to detect motion in v...
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12/03/2019
A Context-Aware Loss Function for Action Spotting in Soccer Videos
Action spotting is an important element of general activity understandin...
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06/18/2018
