Mbiaya, Franck Anaël Vrain, Christel Ros, Frédéric Dao, Thi-Bich-Hanh Lucas, Yves
Deep learning applied to raw data has demonstrated outstanding image classification performance, mainly when abundant data is available. However, performance significantly degrades when a substantial volume of data is unavailable. Furthermore, deep architectures struggle to achieve satisfactory performance levels when distinguishing between distinc...
Moullet, Etienne Carpentier, Justin Azevedo Coste, Christine Bailly, François
This study describes and evaluates i-GRIP, a novel movement intention estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upper limb impairments. Operating within a collaborative grasping control paradigm, the users naturally move their hand towards an object they wish to grasp and i-GRIP identif...
Published in
Scientific reports
The quantification of centipede populations is one of the key measures in achieving intelligent management of edible centipedes and promoting the upgrade of the rural centipede industry chain. However, current centipede counting techniques still face several challenges, including low detection accuracy, large model size, and difficulty in deploymen...
Moullet, Etienne Carpentier, Justin Azevedo Coste, Christine Bailly, François
This study introduces i-GRIP, an innovative movement goal estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upperlimb impairments. The algorithm operates within a collaborative control paradigm, eliminating the need for specific user actions apart from naturally moving their hand toward a desir...
Zhang, Hanwei Torres, Felipe Sicre, Ronan Avrithis, Yannis Ayache, Stephane
Methods based on class activation maps (CAM) provide a simple mechanism to interpret predictions of convolutional neural networks by using linear combinations of feature maps as saliency maps. By contrast, masking-based methods optimize a saliency map directly in the image space or learn it by training another network on additional data. In this wo...
Surendran, Vidullan Wagner, Alan R
Published in
Autonomous robots
Recognising intent in collaborative human robot tasks can improve team performance and human perception of robots. Intent can differ from the observed outcome in the presence of mistakes which are likely in physically dynamic tasks. We created a dataset of 1227 throws of a ball at a target from 10 participants and observed that 47% of throws were m...
Pinheiro, Isabel Moreira, Germano Magalhães, Sandro Valente, António Cunha, Mário Dos Santos, Filipe Neves
Published in
Scientific reports
Pollination is critical for crop development, especially those essential for subsistence. This study addresses the pollination challenges faced by Actinidia, a dioecious plant characterized by female and male flowers on separate plants. Despite the high protein content of pollen, the absence of nectar in kiwifruit flowers poses difficulties in attr...
Ronné, Jules May, François Dubuis, Laura Robert, Thomas
Cassagne, Adrien Tajan, Romain Aumage, Olivier
This work demonstrates the combination of a computer vision chain and a DVB-S2 transceiver all in software. Results show that AFF3CT environment is able to achieve real-time video processing plus radio transmission over two USRPs B200mini and two Ryzen 7 7840U multicore CPUs.
Blot, Vincent Brunel, Nicolas J-B
Science and technology have a growing need for effective mechanisms that ensure reliable, controlled performance from black-box machine learning algorithms. These performance guarantees should ideally hold conditionally on the input—that is the performance guarantees should hold, at least approximately, no matter what the input. However, beyond sty...
