Search Results for author: Yubin Kuang

Found 5 papers, 0 papers with code

Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion

no code implementations CVPR 2014 Yubin Kuang, Jan E. Solem, Fredrik Kahl, Kalle Astrom

In this paper, we study the problems of estimating relative pose between two cameras in the presence of radial distortion.

Partial Symmetry in Polynomial Systems and its Applications in Computer Vision

no code implementations CVPR 2014 Yubin Kuang, Yinqiang Zheng, Kalle Astrom

Algorithms for solving systems of polynomial equations are key components for solving geometry problems in computer vision.

The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale

no code implementations ECCV 2020 Christian Ertler, Jerneja Mislej, Tobias Ollmann, Lorenzo Porzi, Gerhard Neuhold, Yubin Kuang

In this paper, we introduce a traffic sign benchmark dataset of 100K street-level images around the world that encapsulates diverse scenes, wide coverage of geographical locations, and varying weather and lighting conditions and covers more than 300 manually annotated traffic sign classes.

Autonomous Driving Classification +3

CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization

no code implementations ICCV 2021 Ara Jafarzadeh, Manuel Lopez Antequera, Pau Gargallo, Yubin Kuang, Carl Toft, Fredrik Kahl, Torsten Sattler

Visual localization is the problem of estimating the position and orientation from which a given image (or a sequence of images) is taken in a known scene.

Benchmarking Self-Driving Cars +1

Mapillary Planet-Scale Depth Dataset

no code implementations ECCV 2020 Manuel López Antequera, Pau Gargallo, Markus Hofinger, Samuel Rota Bulò, Yubin Kuang, Peter Kontschieder

Learning-based methods produce remarkable results on single image depth tasks when trained on well-established benchmarks, however, there is a large gap from these benchmarks to real-world performance that is usually obscured by the common practice of fine-tuning on the target dataset.

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