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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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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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04/05/2019
Branched Multi-Task Networks: Deciding What Layers To Share
In the context of deep learning, neural networks with multiple branches ...
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03/08/2019
A Three-Player GAN: Generating Hard Samples To Improve Classification Networks
We propose a Three-Player Generative Adversarial Network to improve clas...
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02/14/2019
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
This work proposes a new method to accurately complete sparse LiDAR maps...
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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
Semantic Instance Segmentation with a Discriminative Loss Function
Semantic instance segmentation remains a challenging task. In this work ...
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08/08/2017
Fast Scene Understanding for Autonomous Driving
Most approaches for instance-aware semantic labeling traditionally focus...
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06/02/2017
Dynamic Steerable Blocks in Deep Residual Networks
Filters in convolutional networks are typically parameterized in a pixel...
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05/31/2016
Dynamic Filter Networks
In a traditional convolutional layer, the learned filters stay fixed aft...
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03/22/2016