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04/05/2023
Knowledge Combination to Learn Rotated Detection Without Rotated Annotation
Rotated bounding boxes drastically reduce output ambiguity of elongated ...
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02/22/2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
We introduce Retrieval Augmented Classification (RAC), a generic approac...
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12/10/2019
Learning to generate new indoor scenes
Deep generative models have been used in recent years to learn coherent ...
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12/10/2019
NeuRoRA: Neural Robust Rotation Averaging
Multiple rotation averaging is an essential task for structure from moti...
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09/26/2019
Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints
Planar markers are useful in robotics and computer vision for mapping an...
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06/07/2019
Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions
Semantic segmentation and instance level segmentation made substantial p...
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01/08/2019
Morphological Networks for Image De-raining
Mathematical morphological methods have successfully been applied to fil...
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08/10/2018
Weakly supervised learning of indoor geometry by dual warping
A major element of depth perception and 3D understanding is the ability ...
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03/22/2018
Maximum Consensus Parameter Estimation by Reweighted ℓ_1 Methods
Robust parameter estimation in computer vision is frequently accomplishe...
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03/06/2018
Learning monocular visual odometry with dense 3D mapping from dense 3D flow
This paper introduces a fully deep learning approach to monocular SLAM, ...
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12/09/2017
SPP-Net: Deep Absolute Pose Regression with Synthetic Views
Image based localization is one of the important problems in computer vi...
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12/08/2017
Minimal Solvers for Monocular Rolling Shutter Compensation under Ackermann Motion
Modern automotive vehicles are often equipped with a budget commercial r...
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09/30/2017