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20172021
most citedGraph based Nearest Neighbor Search: Promises and Failures

10 citations · 22 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2021

Towards Accurate Localization by Instance Search

Yi-Geng Hong, Hui-Chu Xiao, Wan-Lei Zhao

Visual object localization is the key step in a series of object detection tasks. In the literature, high localization accuracy is achieved with the mainstream strongly supervised…

cs.CV2020

Dynamic Sampling for Deep Metric Learning

Chang-Hui Liang, Wan-Lei Zhao, Run-Qing Chen

Deep metric learning maps visually similar images onto nearby locations and visually dissimilar images apart from each other in an embedding manifold. The learning process is mainl…

cs.CV2020

Deeply Activated Salient Region for Instance Search

Hui-Chu Xiao, Wan-Lei Zhao, Jie Lin +1

The performance of instance search depends heavily on the ability to locate and describe a wide variety of object instances in a video/image collection. Due to the lack of proper m…

cs.CV2018

Instance Search via Instance Level Segmentation and Feature Representation

Yu Zhan, Wan-Lei Zhao

Instance search is an interesting task as well as a challenging issue due to the lack of effective feature representation. In this paper, an instance level feature representation b…

cs.CV2018

Clustering via Boundary Erosion

Cheng-Hao Deng, Wan-Lei Zhao

Clustering analysis identifies samples as groups based on either their mutual closeness or homogeneity. In order to detect clusters in arbitrary shapes, a novel and generic solutio…

cs.CV20176 cited

Scalable Nearest Neighbor Search based on kNN Graph

Wan-Lei Zhao, Jie Yang, Cheng-Hao Deng

Nearest neighbor search is known as a challenging issue that has been studied for several decades. Recently, this issue becomes more and more imminent in viewing that the big data…