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20162022
most citedPerson Re-identification: Past, Present and Future

1k citations · 7k across the 61 of their papers we have counts for

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Showing 2020Show all

15 papers · 1 filter

cs.CV2020★ 25 cited

Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

Xuanmeng Zhang, Minyue Jiang, Zhedong Zheng +3

The re-ranking approach leverages high-confidence retrieved samples to refine retrieval results, which have been widely adopted as a post-processing tool for image retrieval tasks.…

cs.CV2020★ 67 cited

Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

Guoliang Kang, Yunchao Wei, Yi Yang +2

Domain adaptive semantic segmentation aims to train a model performing satisfactory pixel-level predictions on the target with only out-of-domain (source) annotations. The conventi…

cs.CV2020★ 8 cited

Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration

Zongxin Yang, Yunchao Wei, Yi Yang

This paper investigates the principles of embedding learning to tackle the challenging semi-supervised video object segmentation. Unlike previous practices that focus on exploring…

eess.IV2020★ 18 cited

DONet: Dual Objective Networks for Skin Lesion Segmentation

Yaxiong Wang, Yunchao Wei, Xueming Qian +2

Skin lesion segmentation is a crucial step in the computer-aided diagnosis of dermoscopic images. In the last few years, deep learning based semantic segmentation methods have sign…

cs.CV2020★ 12 cited

Inter-Image Communication for Weakly Supervised Localization

Xiaolin Zhang, Yunchao Wei, Yi Yang

Weakly supervised localization aims at finding target object regions using only image-level supervision. However, localization maps extracted from classification networks are often…

cs.CV2020★ 301 cited

Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization

Tingyu Wang, Zhedong Zheng, Chenggang Yan +4

Cross-view geo-localization is to spot images of the same geographic target from different platforms, e.g., drone-view cameras and satellites. It is challenging in the large visual…