activity
20142021
most citedDeep Representation Learning with Part Loss for Person Re-Identification

471 citations · 3.1k across the 59 of their papers we have counts for

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Showing 2016Show all

7 papers · 1 filter

cs.CV2016★ 30 cited

SIFT Meets CNN: A Decade Survey of Instance Retrieval

Liang Zheng, Yi Yang, Qi Tian

In the early days, content-based image retrieval (CBIR) was studied with global features. Since 2003, image retrieval based on local descriptors (de facto SIFT) has been extensivel…

cs.MM2016★ 4 cited

Coarse2Fine: Two-Layer Fusion For Image Retrieval

Gaipeng Kong, Le Dong, Wenpu Dong +2

This paper addresses the problem of large-scale image retrieval. We propose a two-layer fusion method which takes advantage of global and local cues and ranks database images from…

cs.CV2016★ 227 cited

Deep Attributes Driven Multi-Camera Person Re-identification

Chi Su, Shiliang Zhang, Junliang Xing +2

The visual appearance of a person is easily affected by many factors like pose variations, viewpoint changes and camera parameter differences. This makes person Re-Identification (…

cs.CV2016★ 7 cited

Multidimensional Scaling on Multiple Input Distance Matrices

Song Bai, Xiang Bai, Longin Jan Latecki +1

Multidimensional Scaling (MDS) is a classic technique that seeks vectorial representations for data points, given the pairwise distances between them. However, in recent years, dat…

cs.CV2016★ 33 cited

Person Re-identification in the Wild

Liang Zheng, Hengheng Zhang, Shaoyan Sun +3

We present a novel large-scale dataset and comprehensive baselines for end-to-end pedestrian detection and person recognition in raw video frames. Our baselines address three issue…

cs.CV2016★ 129 cited

Good Practice in CNN Feature Transfer

Liang Zheng, Yali Zhao, Shengjin Wang +2

The objective of this paper is the effective transfer of the Convolutional Neural Network (CNN) feature in image search and classification. Systematically, we study three facts in…

cs.CV2016★ 4 cited

Geometric Hypergraph Learning for Visual Tracking

Dawei Du, Honggang Qi, Longyin Wen +3

Graph based representation is widely used in visual tracking field by finding correct correspondences between target parts in consecutive frames. However, most graph based trackers…