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20172025
most citedPose Invariant Embedding for Deep Person Re-identification

178 citations · 179 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV20251 cited

Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data

Chao Liang, Linchao Zhu, Zongxin Yang +2

We focus on the challenging problem of learning an unbiased classifier from a large number of potentially relevant but noisily labeled web images given only a few clean labeled ima…

cs.CV2020

Tasks Integrated Networks: Joint Detection and Retrieval for Image Search

Lei Zhang, Zhenwei He, Yi Yang +2

The traditional object retrieval task aims to learn a discriminative feature representation with intra-similarity and inter-dissimilarity, which supposes that the objects in an ima…

cs.CV2020

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer

Tong Liu, Zhaowei Chen, Yi Yang +2

Nowadays, deep learning techniques are widely used for lane detection, but application in low-light conditions remains a challenge until this day. Although multi-task learning and…

cs.CV2017

Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval

Yuting Hu, Liang Zheng, Yi Yang +1

This paper contributes a new large-scale dataset for weakly supervised cross-media retrieval, named Twitter100k. Current datasets, such as Wikipedia, NUS Wide and Flickr30k, have t…

cs.CV2017178 cited

Pose Invariant Embedding for Deep Person Re-identification

Liang Zheng, Yujia Huang, Huchuan Lu +1

Pedestrian misalignment, which mainly arises from detector errors and pose variations, is a critical problem for a robust person re-identification (re-ID) system. With bad alignmen…