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04/22/2021
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
We introduce a novel approach to unsupervised and semi-supervised domain...
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08/15/2020
Object Detection with a Unified Label Space from Multiple Datasets
Given multiple datasets with different label spaces, the goal of this wo...
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07/30/2020
Domain Adaptive Semantic Segmentation Using Weak Labels
Learning semantic segmentation models requires a huge amount of pixel-wi...
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07/02/2020
Understanding Road Layout from Videos as a Whole
In this paper, we address the problem of inferring the layout of complex...
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01/16/2019
Domain Adaptation for Structured Output via Discriminative Representations
Predicting structured outputs such as semantic segmentation relies on ex...
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01/16/2019
Domain Adaptation for Structured Output via Discriminative Patch Representations
Predicting structured outputs such as semantic segmentation relies on ex...
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12/14/2018
A Parametric Top-View Representation of Complex Road Scenes
In this paper, we address the problem of inferring the layout of complex...
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10/05/2018
Learning To Simulate
Simulation is a useful tool in situations where training data for machin...
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03/28/2018
Learning to Look around Objects for Top-View Representations of Outdoor Scenes
Given a single RGB image of a complex outdoor road scene in the perspect...
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03/28/2018
Memory Warps for Learning Long-Term Online Video Representations
This paper proposes a novel memory-based online video representation tha...
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02/28/2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Convolutional neural network-based approaches for semantic segmentation ...
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06/26/2017