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20182024
most citedExplicit Inductive Bias for Transfer Learning with Convolutional Networks

100 citations · 157 across the 11 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras

Vincent Brebion, Julien Moreau, Franck Davoine

Event cameras capture changes of illumination in the observed scene rather than accumulating light to create images. Thus, they allow for applications under high-speed motion and c…

cs.CV2021★ 39 cited

Continuous Conditional Random Field Convolution for Point Cloud Segmentation

Fei Yang, Franck Davoine, Huan Wang +1

Point cloud segmentation is the foundation of 3D environmental perception for modern intelligent systems. To solve this problem and image segmentation, conditional random fields (C…

cs.CC2021

Efficient Möbius Transformations and their applications to Dempster-Shafer Theory: Clarification and implementation

Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui

Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, offering useful additional information, but suffers from a high computational burden. A lot of work has been d…

cs.AI2021★ 1 cited

Efficient exact computation of the conjunctive and disjunctive decompositions of D-S Theory for information fusion: Translation and extension

Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui

Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, offering useful additional information, but suffers from a high computational burden. A lot of work has been d…

cs.CV2021

Fusion of neural networks, for LIDAR-based evidential road mapping

Edouard Capellier, Franck Davoine, Veronique Cherfaoui +1

LIDAR sensors are usually used to provide autonomous vehicles with 3D representations of their environment. In ideal conditions, geometrical models could detect the road in LIDAR s…