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AIM 2020 Challenge on Rendering Realistic Bokeh
This paper reviews the second AIM realistic bokeh effect rendering chall...
11/10/2020 ∙ by Andrey Ignatov, et al. ∙
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LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching
The local reference frame (LRF) acts as a critical role in 3D local shap...
01/22/2020 ∙ by Angfan Zhu, et al. ∙
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Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence
Matching corresponding features between two images is a fundamental task...
09/03/2019 ∙ by Chen Zhao, et al. ∙
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A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching
Seeking consistent point-to-point correspondences between 3D rigid data ...
07/05/2019 ∙ by Jiaqi Yang, et al. ∙
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Learning to Fuse Local Geometric Features for 3D Rigid Data Matching
This paper presents a simple yet very effective data-driven approach to ...
04/27/2019 ∙ by Jiaqi Yang, et al. ∙
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Deep attention-based classification network for robust depth prediction
In this paper, we present our deep attention-based classification (DABC)...
07/11/2018 ∙ by Ruibo Li, et al. ∙
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Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Most existing algorithms for depth estimation from single monocular imag...
06/02/2018 ∙ by Yuanzhouhan Cao, et al. ∙
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Performance Evaluation of 3D Correspondence Grouping Algorithms
This paper presents a thorough evaluation of several widely-used 3D corr...
04/06/2018 ∙ by Jiaqi Yang, et al. ∙
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When Unsupervised Domain Adaptation Meets Tensor Representations
Domain adaption (DA) allows machine learning methods trained on data sam...
07/19/2017 ∙ by Hao Lu, et al. ∙
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