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08/29/2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Since real-world training datasets cannot properly sample the long tail ...
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08/18/2023
Robust Monocular Depth Estimation under Challenging Conditions
While state-of-the-art monocular depth estimation approaches achieve imp...
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09/12/2022
Holistic Segmentation
As panoptic segmentation provides a prediction for every pixel in input,...
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12/09/2021
3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection
As 3D object detection on point clouds relies on the geometrical relatio...
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10/04/2021
CertainNet: Sampling-free Uncertainty Estimation for Object Detection
Estimating the uncertainty of a neural network plays a fundamental role ...
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08/10/2021
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes
While self-supervised monocular depth estimation in driving scenarios ha...
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10/28/2020
Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds
Panoptic segmentation has recently unified semantic and instance segment...
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11/18/2019
Signal Clustering with Class-independent Segmentation
Radar signals have been dramatically increasing in complexity, limiting ...
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04/05/2019
