Dynamic Filter Networks

Bert De Brabandere, Xu Jia, Tinne Tuytelaars, +1

arXiv (Cornell University)

Convolutional Neural NetworkEngineeringMachine LearningLearned FiltersNetwork Analysis +15

Semantic Instance Segmentation with a Discriminative Loss Function

Bert De Brabandere, Davy Neven, Luc Van Gool

arXiv (Cornell University)

Convolutional Neural NetworkScene AnalysisEngineeringMachine LearningMultiple Instance Learning +14

Dynamic Filter Networks

Xu Jia, Bert De Brabandere, Tinne Tuytelaars, +1

Neural Information Processing Systems

Convolutional Neural NetworkEngineeringMachine LearningLearned FiltersNetwork Analysis +15

Semantic Instance Segmentation for Autonomous Driving

Bert De Brabandere, Davy Neven, Luc Van Gool

Scene AnalysisEngineeringMachine LearningSemantic Instance SegmentationCityscapes Segmentation Benchmark +14

Energy-efficient ConvNets through approximate computing

Bert Moons, Bert De Brabandere, Luc Van Gool, +1

Towards End-to-End Lane Detection: an Instance Segmentation Approach

Davy Neven, Bert De Brabandere, Stamatios Georgoulis, +2

Fast Scene Understanding for Autonomous Driving

Davy Neven, Bert De Brabandere, Stamatios Georgoulis, +2

arXiv (Cornell University)

Artificial IntelligenceScene AnalysisMachine VisionImage AnalysisMachine Learning +13

End-to-end Lane Detection through Differentiable Least-Squares Fitting

Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, +2

Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningAdvanced Driver-assistance System +15

Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty

Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, +1

EngineeringMachine LearningField RoboticsPoint Cloud ProcessingDepth Map +17

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

Davy Neven, Bert De Brabandere, Marc Proesmans, +1

Instance MaskConvolutional Neural NetworkScene AnalysisEngineeringMachine Learning +18