Search Results for author: Wan-Lei Zhao

Found 20 papers, 7 papers with code

Graph-based Approximate NN Search: A Revisit

no code implementations2 Apr 2022 Hui Wang, Yong Wang, Wan-Lei Zhao

For the graph construction, a two-stage graph diversification scheme is proposed, which makes a good trade-off between the efficiency and reachability for the search procedure that builds upon it.

graph construction Information Retrieval +1

Online Deep Metric Learning via Mutual Distillation

no code implementations10 Mar 2022 Gao-Dong Liu, Wan-Lei Zhao, Jie Zhao

Existing solutions either retrain the model from scratch or require the replay of old samples during the training.

Metric Learning

Anomaly Detection on IT Operation Series via Online Matrix Profile

no code implementations27 Aug 2021 Shi-Ying Lan, Run-Qing Chen, Wan-Lei Zhao

Anomaly detection on time series is a fundamental task in monitoring the Key Performance Indicators (KPIs) of IT systems.

Anomaly Detection Time Series +1

Towards Accurate Localization by Instance Search

no code implementations11 Jul 2021 Yi-Geng Hong, Hui-Chu Xiao, Wan-Lei Zhao

In this paper, a self-paced learning framework is proposed to achieve accurate object localization on the rank list returned by instance search.

Few-Shot Object Detection Instance Search +3

k-sums: another side of k-means

1 code implementation19 May 2020 Wan-Lei Zhao, Run-Qing Chen, Hui Ye, Chong-Wah Ngo

This optimization procedure converges faster to a better local minimum over k-means and many of its variants.

Clustering Stochastic Optimization

Dynamic Sampling for Deep Metric Learning

1 code implementation24 Apr 2020 Chang-Hui Liang, Wan-Lei Zhao, Run-Qing Chen

In this paper, a dynamic sampling strategy is proposed to organize the training pairs in an easy-to-hard order to feed into the network.

Metric Learning Person Re-Identification

Deeply Activated Salient Region for Instance Search

no code implementations1 Feb 2020 Hui-Chu Xiao, Wan-Lei Zhao, Jie Lin, Chong-Wah Ngo

Due to the lack of proper mechanism in locating instances and deriving feature representation, instance search is generally only effective for retrieving instances of known object categories.

Image Retrieval Instance Search

On the Merge of k-NN Graph

1 code implementation2 Aug 2019 Wan-Lei Zhao, Hui Wang, Peng-Cheng Lin, Chong-Wah Ngo

Unfortunately, a closely related issue of how to merge two existing k-NN graphs has been overlooked.

graph construction Information Retrieval +1

Graph based Nearest Neighbor Search: Promises and Failures

no code implementations3 Apr 2019 Peng-Cheng Lin, Wan-Lei Zhao

Recently, graph based nearest neighbor search gets more and more popular on large-scale retrieval tasks.

Retrieval

Instance Search via Instance Level Segmentation and Feature Representation

1 code implementation10 Jun 2018 Yu Zhan, Wan-Lei Zhao

In addition, the proposed enhancement on the network structure also shows superior performance on the instance segmentation task.

Instance Search Instance Segmentation +2

Clustering via Boundary Erosion

1 code implementation12 Apr 2018 Cheng-Hao Deng, Wan-Lei Zhao

In order to detect clusters in arbitrary shapes, a novel and generic solution based on boundary erosion is proposed.

Clustering

Approximate k-NN Graph Construction: a Generic Online Approach

no code implementations9 Apr 2018 Wan-Lei Zhao, Hui Wang, Chong-Wah Ngo

On the one hand, the approximate k-nearest neighbor graph construction is treated as a search task.

graph construction Information Retrieval +1

Fast k-means based on KNN Graph

no code implementations4 May 2017 Cheng-Hao Deng, Wan-Lei Zhao

In the k-means iteration, each data sample is only compared to clusters that its nearest neighbors reside.

Clustering

Object Discovery via Cohesion Measurement

no code implementations28 Apr 2017 Guanjun Guo, Hanzi Wang, Wan-Lei Zhao, Yan Yan, Xuelong. Li

Based on the new Cohesion Measurement, a novel object discovery method is proposed to discover objects latent in an image by utilizing the eigenvectors of the affinity matrix.

Clustering Image Segmentation +5

Scalable Nearest Neighbor Search based on kNN Graph

no code implementations30 Jan 2017 Wan-Lei Zhao, Jie Yang, Cheng-Hao Deng

In this paper, a scalable solution based on hill-climbing strategy with the support of k-nearest neighbor graph (kNN) is presented.

graph construction Quantization

Boost K-Means

no code implementations8 Oct 2016 Wan-Lei Zhao, Cheng-Hao Deng, Chong-Wah Ngo

The performance of k-means has been enhanced from different perspectives over the years.

Clustering Image Clustering +1

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