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07/11/2023
Class Instance Balanced Learning for Long-Tailed Classification
The long-tailed image classification task remains important in the devel...
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04/17/2023
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation
We introduce ProPanDL, a family of networks capable of uncertainty-aware...
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06/01/2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection
The estimation of uncertainty in robotic vision, such as 3D object detec...
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02/19/2022
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks
We propose a network architecture capable of reliably estimating uncerta...
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10/11/2021
UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection
Relying on monocular image data for precise 3D object detection remains ...
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07/29/2021
Bayesian Embeddings for Few-Shot Open World Recognition
As autonomous decision-making agents move from narrow operating environm...
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11/20/2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Capturing uncertainty in object detection is indispensable for safe auto...
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01/27/2020
Canadian Adverse Driving Conditions Dataset
The Canadian Adverse Driving Conditions (CADC) dataset was collected wit...
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09/17/2019
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data
Inter-vehicle communication for autonomous vehicles (AVs) stands to prov...
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05/01/2019
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception
We introduce the Precise Synthetic Image and LiDAR (PreSIL) dataset for ...
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07/16/2018
Unlimited Road-scene Synthetic Annotation (URSA) Dataset
In training deep neural networks for semantic segmentation, the main lim...
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12/06/2017