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07/27/2023
Learning Depth Estimation for Transparent and Mirror Surfaces
Inferring the depth of transparent or mirror (ToM) surfaces represents a...
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04/06/2023
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation
3D semantic segmentation is a critical task in many real-world applicati...
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02/10/2023
Deep Learning on Implicit Neural Representations of Shapes
Implicit Neural Representations (INRs) have emerged in the last few year...
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01/26/2023
Learning Good Features to Transfer Across Tasks and Domains
Availability of labelled data is the major obstacle to the deployment of...
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01/19/2023
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces
Estimating depth from images nowadays yields outstanding results, both i...
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10/15/2022
Self-Distillation for Unsupervised 3D Domain Adaptation
Point cloud classification is a popular task in 3D vision. However, prev...
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09/01/2022
Cross-Spectral Neural Radiance Fields
We propose X-NeRF, a novel method to learn a Cross-Spectral scene repres...
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06/14/2022
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation
We address the problem of registering synchronized color (RGB) and multi...
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06/09/2022
Open Challenges in Deep Stereo: the Booster Dataset
We present a novel high-resolution and challenging stereo dataset framin...
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10/28/2021
Neural Disparity Refinement for Arbitrary Resolution Stereo
We introduce a novel architecture for neural disparity refinement aimed ...
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10/21/2021
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation
Unsupervised Domain Adaptation (UDA) for point cloud classification is a...
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10/13/2021
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation
Although recent semantic segmentation methods have made remarkable progr...
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10/06/2021
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries
Although deep neural networks have achieved remarkable results for the t...
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02/05/2021
Unsupervised Novel View Synthesis from a Single Image
Novel view synthesis from a single image aims at generating novel views ...
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03/31/2020
Distilled Semantics for Comprehensive Scene Understanding from Videos
Whole understanding of the surroundings is paramount to autonomous syste...
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10/11/2019
Shooting Labels: 3D Semantic Labeling by Virtual Reality
Availability of a few, large-size, annotated datasets, like ImageNet, Pa...
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04/09/2019
Learning Across Tasks and Domains
Recent works have proven that many relevant visual tasks are closely rel...
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10/13/2018
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation
Performance achievable by modern deep learning approaches are directly r...
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10/09/2018