24 citations · 26 across the 7 of their papers we have counts for
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cs.CV2020
R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection
Ruddy Théodose, Dieumet Denis, Thierry Chateau +2
Current neural networks-based object detection approaches processing LiDAR point clouds are generally trained from one kind of LiDAR sensors. However, their performances decrease w…
cs.NE2020
Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm
Anthony Berthelier, Yongzhe Yan, Thierry Chateau +3
While deep neural networks (DNNs) have proven to be efficient for numerous tasks, they come at a high memory and computation cost, thus making them impractical on resource-limited…