research
∙
09/04/2023
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
Fine-grained and instance-level recognition methods are commonly trained...
share
research
∙
02/26/2022
Edge Augmentation for Large-Scale Sketch Recognition without Sketches
This work addresses scaling up the sketch classification task into a lar...
research
∙
02/09/2022
Object-Guided Day-Night Visual Localization in Urban Scenes
We introduce Object-Guided Localization (OGuL) based on a novel method o...
research
∙
02/08/2022
Results and findings of the 2021 Image Similarity Challenge
The 2021 Image Similarity Challenge introduced a dataset to serve as a n...
research
∙
06/17/2021
The 2021 Image Similarity Dataset and Challenge
This paper introduces a new benchmark for large-scale image similarity d...
research
∙
07/26/2020
Learning and aggregating deep local descriptors for instance-level recognition
We propose an efficient method to learn deep local descriptors for insta...
research
∙
11/04/2019
Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations
This paper introduces minimal solvers that jointly solve for affine-rect...
research
∙
10/01/2019
Graph convolutional networks for learning with few clean and many noisy labels
In this work we consider the problem of learning a classifier from noisy...
research
∙
08/24/2019
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower
Access to online visual search engines implies sharing of private user c...
research
∙
08/23/2019
No Fear of the Dark: Image Retrieval under Varying Illumination Conditions
Image retrieval under varying illumination conditions, such as day and n...
research
∙
07/25/2019
Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales
This paper introduces the first minimal solvers that jointly estimate le...
research
∙
07/08/2019
Linking Art through Human Poses
We address the discovery of composition transfer in artworks based on th...
research
∙
05/15/2019
Local Features and Visual Words Emerge in Activations
We propose a novel method of deep spatial matching (DSM) for image retri...
research
∙
04/15/2019
Explicit Spatial Encoding for Deep Local Descriptors
We propose a kernelized deep local-patch descriptor based on efficient m...
research
∙
04/09/2019
Label Propagation for Deep Semi-supervised Learning
Semi-supervised learning is becoming increasingly important because it c...
research
∙
11/27/2018
Understanding and Improving Kernel Local Descriptors
We propose a multiple-kernel local-patch descriptor based on efficient m...
research
∙
07/25/2018
Local Orthogonal-Group Testing
This work addresses approximate nearest neighbor search applied in the d...
research
∙
07/23/2018
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking
State of the art image retrieval performance is achieved with CNN featur...
research
∙
07/16/2018
Rectification from Radially-Distorted Scales
This paper introduces the first minimal solvers that jointly estimate le...
research
∙
03/29/2018
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
In this paper we address issues with image retrieval benchmarking on sta...
research
∙
03/29/2018
Mining on Manifolds: Metric Learning without Labels
In this work we present a novel unsupervised framework for hard training...
research
∙
11/30/2017
Radially-Distorted Conjugate Translations
This paper introduces the first minimal solvers that jointly solve for a...
research
∙
11/26/2017
Coplanar Repeats by Energy Minimization
This paper proposes an automated method to detect, group and rectify arb...
research
∙
11/03/2017
Fine-tuning CNN Image Retrieval with No Human Annotation
Image descriptors based on activations of Convolutional Neural Networks ...
research
∙
09/14/2017
Unsupervised deep object discovery for instance recognition
Severe background clutter is challenging in many computer vision tasks, ...
research
∙
09/11/2017
Generic Sketch-Based Retrieval Learned without Drawing a Single Sketch
We cast the sketch-based retrieval as edge-map matching. A shared convol...
research
∙
07/25/2017
Multiple-Kernel Local-Patch Descriptor
We propose a multiple-kernel local-patch descriptor based on efficient m...
research
∙
03/20/2017
Fast Spectral Ranking for Similarity Search
Despite the success of deep learning on representing images for particul...
research
∙
11/16/2016
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
Query expansion is a popular method to improve the quality of image retr...
research
∙
08/24/2016
In the Saddle: Chasing Fast and Repeatable Features
A novel similarity-covariant feature detector that extracts points whose...
research
∙
07/12/2016
Camera Elevation Estimation from a Single Mountain Landscape Photograph
This work addresses the problem of camera elevation estimation from a si...
research
∙
04/08/2016
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
Convolutional Neural Networks (CNNs) achieve state-of-the-art performanc...
research
∙
04/13/2015