591 citations · 1.7k across the 21 of their papers we have counts for
6 papers · 1 filter
Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification
Jingjing Qian, Wei Jiang, Hao Luo +1
Vehicle re-identification (Re-ID) has been attracting increasing interest in the field of computer vision due to the growing utilization of surveillance cameras in public security.…
Optimizing Through Learned Errors for Accurate Sports Field Registration
Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles +3
We propose an optimization-based framework to register sports field templates onto broadcast videos. For accurate registration we go beyond the prevalent feed-forward paradigm. Ins…
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
Hao Luo, Wei Jiang, Youzhi Gu +4
This study explores a simple but strong baseline for person re-identification (ReID). Person ReID with deep neural networks has progressed and achieved high performance in recent y…
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation
Wei Jiang, Yan Tang
The prevalent approaches of Chinese word segmentation task almost rely on the Bi-LSTM neural network. However, the methods based the Bi-LSTM have some inherent drawbacks: hard to p…
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Hao Luo, Youzhi Gu, Xingyu Liao +2
This paper explores a simple and efficient baseline for person re-identification (ReID). Person re-identification (ReID) with deep neural networks has made progress and achieved hi…
STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification
Hao Luo, Xing Fan, Chi Zhang +1
Partial person re-identification (ReID) is a challenging task because only partial information of person images is available for matching target persons. Few studies, especially on…