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04/06/2023
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
Learning models on one labeled dataset that generalize well on another d...
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12/06/2022
PØDA: Prompt-driven Zero-shot Domain Adaptation
Domain adaptation has been vastly investigated in computer vision but st...
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06/17/2022
Cross-task Attention Mechanism for Dense Multi-task Learning
Multi-task learning has recently become a promising solution for a compr...
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04/25/2022
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
Unsupervised Domain Adaptation (UDA) is a transfer learning task which a...
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12/06/2021
CSG0: Continual Urban Scene Generation with Zero Forgetting
With the rapid advances in generative adversarial networks (GANs), the v...
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08/16/2021
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
In this work, we address the task of unsupervised domain adaptation (UDA...
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06/03/2021
Semantic Palette: Guiding Scene Generation with Class Proportions
Despite the recent progress of generative adversarial networks (GANs) at...
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01/18/2021
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
Domain adaptation is an important task to enable learning when labels ar...
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12/11/2020
Confidence Estimation via Auxiliary Models
Reliably quantifying the confidence of deep neural classifiers is a chal...
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07/10/2020
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users
Advanced perception and path planning are at the core for any self-drivi...
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06/15/2020
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
While fully-supervised deep learning yields good models for urban scene ...
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04/02/2020
BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation
In this work, we define and address "Boundless Unsupervised Domain Adapt...
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11/28/2019
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
Unsupervised Domain Adaptation (UDA) is crucial to tackle the lack of an...
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06/03/2019
Zero-Shot Semantic Segmentation
Semantic segmentation models are limited in their ability to scale to la...
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04/03/2019
DADA: Depth-aware Domain Adaptation in Semantic Segmentation
Unsupervised domain adaptation (UDA) is important for applications where...
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12/06/2018
Tube-CNN: Modeling temporal evolution of appearance for object detection in video
Object detection in video is crucial for many applications. Compared to ...
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11/30/2018
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Semantic segmentation is a key problem for many computer vision tasks. W...
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03/28/2018