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Found 14 papers, 5 papers with code
Retail store customer behavior analysis system: Design and Implementation
Understanding customer behavior in retail stores plays a crucial role in improving customer satisfaction by adding personalized value to services.
F2SD: A dataset for end-to-end group detection algorithms
To address this, we develop a new, large-scale dataset of simulated images for F-formation detection, called F-formation Simulation Dataset (F2SD).
3D Pipe Network Reconstruction Based on Structure from Motion with Incremental Conic Shape Detection and Cylindrical Constraint
Pipe inspection is a critical task for many industries and infrastructure of a city.
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization
The pose with the largest geometric consistency with the query image, e. g., in the form of an inlier count, is then selected in a second stage.
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
In this work we address the problem of finding reliable pixel-level correspondences under difficult imaging conditions.
Ranked #8 on
Image Matching
on IMC PhotoTourism
Neighbourhood Consensus Networks
Second, we demonstrate that the model can be trained effectively from weak supervision in the form of matching and non-matching image pairs without the need for costly manual annotation of point to point correspondences.
Ranked #2 on
Semantic correspondence
on PF-PASCAL
(PCK (weak) metric)
Joint optimization for compressive video sensing and reconstruction under hardware constraints
Compressive video sensing is the process of encoding multiple sub-frames into a single frame with controlled sensor exposures and reconstructing the sub-frames from the single compressed frame.
Structure-from-Motion using Dense CNN Features with Keypoint Relocalization
Then, we demonstrate on the Aachen Day-Night dataset that the proposed SfM using dense CNN features with the keypoint relocalization outperforms a state-of-the-art SfM (COLMAP using RootSIFT) by a large margin.
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map.
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds.
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?
3D structure-based methods employ 3D models of the scene to estimate the full 6DOF pose of a camera very accurately.
NetVLAD: CNN architecture for weakly supervised place recognition
We tackle the problem of large scale visual place recognition, where the task is to quickly and accurately recognize the location of a given query photograph.
Ranked #3 on
Visual Place Recognition
on Mid-Atlantic Ridge
24/7 Place Recognition by View Synthesis
We address the problem of large-scale visual place recognition for situations where the scene undergoes a major change in appearance, for example, due to illumination (day/night), change of seasons, aging, or structural modifications over time such as buildings built or destroyed.
Visual Place Recognition with Repetitive Structures
Even more importantly, they violate the feature independence assumed in the bag-of-visual-words representation which often leads to over-counting evidence and significant degradation of retrieval performance.
