research
∙
04/19/2022
Shape-Aware Monocular 3D Object Detection
The detection of 3D objects through a single perspective camera is a cha...
share
research
∙
04/02/2022
Graph-based Approximate NN Search: A Revisit
Nearest neighbor search plays a fundamental role in many disciplines suc...
research
∙
03/10/2022
Online Deep Metric Learning via Mutual Distillation
Deep metric learning aims to transform input data into an embedding spac...
research
∙
08/27/2021
Anomaly Detection on IT Operation Series via Online Matrix Profile
Anomaly detection on time series is a fundamental task in monitoring the...
research
∙
07/11/2021
Towards Accurate Localization by Instance Search
Visual object localization is the key step in a series of object detecti...
research
∙
03/29/2021
Large-Scale Approximate k-NN Graph Construction on GPU
k-nearest neighbor graph is a key data structure in many disciplines suc...
research
∙
05/19/2020
k-sums: another side of k-means
In this paper, the decades-old clustering method k-means is revisited. T...
research
∙
04/24/2020
Dynamic Sampling for Deep Metric Learning
Deep metric learning maps visually similar images onto nearby locations ...
research
∙
02/01/2020
Deeply Activated Salient Region for Instance Search
Due to the lack of suitable feature representation, effective solution t...
research
∙
10/09/2019
Sequential VAE-LSTM for Anomaly Detection on Time Series
In order to support stable web-based applications and services, anomalie...
research
∙
08/02/2019
On the Merge of k-NN Graph
K-nearest neighbor graph is the fundamental data structure in many disci...
research
∙
04/03/2019
Graph based Nearest Neighbor Search: Promises and Failures
Recently, graph based nearest neighbor search gets more and more popular...
research
∙
04/03/2019
A Comparative Study on Hierarchical Navigable Small World Graphs
Hierarchical navigable small world (HNSW) graphs get more and more popul...
research
∙
06/10/2018
Instance Search via Instance Level Segmentation and Feature Representation
Instance search is an interesting task as well as a challenging issue du...
research
∙
04/12/2018
Clustering via Boundary Erosion
Clustering analysis identifies samples as groups based on either their m...
research
∙
04/09/2018
k-NN Graph Construction: a Generic Online Approach
Nearest neighbor search and k-nearest neighbor graph construction are tw...
research
∙
05/04/2017
Fast k-means based on KNN Graph
In the era of big data, k-means clustering has been widely adopted as a ...
research
∙
01/30/2017
Scalable Nearest Neighbor Search based on kNN Graph
Nearest neighbor search is known as a challenging issue that has been st...
research
∙
10/08/2016