research
∙
12/22/2021
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
Learnable keypoint detectors and descriptors are beginning to outperform...
share
research
∙
11/30/2021
TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
Due to the difficulty of obtaining ground-truth labels, learning from vi...
research
∙
03/22/2021
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
Depth information is essential for on-board perception in autonomous dri...
research
∙
01/14/2020
Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention
Acquiring information about the road lane structure is a crucial step fo...
research
∙
06/07/2019
Multimodal End-to-End Autonomous Driving
Autonomous vehicles (AVs) are key for the intelligent mobility of the fu...
research
∙
04/04/2018
Learnable Exposure Fusion for Dynamic Scenes
In this paper, we focus on Exposure Fusion (EF) [ExposFusi2] for dynamic...
research
∙
03/21/2018
Monocular Depth Estimation by Learning from Heterogeneous Datasets
Depth estimation provides essential information to perform autonomous dr...
research
∙
07/22/2011
Symmetry Breaking in Neuroevolution: A Technical Report
Artificial Neural Networks (ANN) comprise important symmetry properties,...
research
∙
09/08/2010