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07/05/2023
Unbalanced Optimal Transport: A Unified Framework for Object Detection
During training, supervised object detection tries to correctly match th...
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10/28/2022
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM
3D object tracking is a critical task in autonomous driving systems. It ...
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10/12/2021
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty
Since the rise of deep learning, many computer vision tasks have seen si...
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10/01/2021
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation
Monocular 3D object detection has recently shown promising results, howe...
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09/16/2021
Context-aware Padding for Semantic Segmentation
Zero padding is widely used in convolutional neural networks to prevent ...
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05/25/2020
Learning To Classify Images Without Labels
Is it possible to automatically classify images without the use of groun...
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04/28/2020
Revisiting Multi-Task Learning in the Deep Learning Era
Despite the recent progress in deep learning, most approaches still go f...
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06/26/2019
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
Current state-of-the-art instance segmentation methods are not suited fo...
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02/01/2019
End-to-end Lane Detection through Differentiable Least-Squares Fitting
Lane detection is typically tackled with a two-step pipeline in which a ...
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02/15/2018
Towards End-to-End Lane Detection: an Instance Segmentation Approach
Modern cars are incorporating an increasing number of driver assist feat...
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08/08/2017
