Search Results for author: Yuqi Zhang

Found 16 papers, 7 papers with code

Graph Convolution for Re-ranking in Person Re-identification

no code implementations5 Jul 2021 Yuqi Zhang, Qian Qi, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin

In this work, we propose a graph-based re-ranking method to improve learned features while still keeping Euclidean distance as the similarity metric.

Person Re-Identification Re-Ranking

An Empirical Study of Vehicle Re-Identification on the AI City Challenge

1 code implementation20 May 2021 Hao Luo, Weihua Chen, Xianzhe Xu, Jianyang Gu, Yuqi Zhang, Chong Liu, Yiqi Jiang, Shuting He, Fan Wang, Hao Li

We mainly focus on four points, i. e. training data, unsupervised domain-adaptive (UDA) training, post-processing, model ensembling in this challenge.

Re-Ranking Vehicle Re-Identification

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones

1 code implementation14 May 2021 Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen

Multi-Target Multi-Camera Tracking has a wide range of applications and is the basis for many advanced inferences and predictions.

Vehicle Re-Identification

Bilingual Terminology Extraction from Non-Parallel E-Commerce Corpora

no code implementations15 Apr 2021 Hao Jia, Shuqin Gu, Yangbin Shi, Xiangyu Duan, Zhongkai Hu, Yuqi Zhang, Weihua Luo

Bilingual terminologies are important resources for natural language processing (NLP) applications.

Translation

1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking

1 code implementation20 Jan 2021 Fei Du, Bo Xu, Jiasheng Tang, Yuqi Zhang, Fan Wang, Hao Li

We extend the classical tracking-by-detection paradigm to this tracking-any-object task.

 Ranked #1 on Multi-Object Tracking on TAO (using extra training data)

Multi-Object Tracking

1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification

1 code implementation25 Dec 2020 Jianyang Gu, Hao Luo, Weihua Chen, Yiqi Jiang, Yuqi Zhang, Shuting He, Fan Wang, Hao Li, Wei Jiang

Considering the large gap between the source domain and target domain, we focused on solving two biases that influenced the performance on domain adaptive pedestrian Re-ID and proposed a two-stage training procedure.

Domain Adaptation

3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation

no code implementations15 Sep 2020 Yuanpeng Liu, Jun Zhou, Yuqi Zhang, Chao Ding, Jun Wang

To address the problem, a novel 3DPVNet is presented in this work, which utilizes 3D local patches to vote for the object 6D poses.

6D Pose Estimation

From Trailers to Storylines: An Efficient Way to Learn from Movies

1 code implementation14 Jun 2018 Qingqiu Huang, Yuanjun Xiong, Yu Xiong, Yuqi Zhang, Dahua Lin

Experiments on this dataset showed that the proposed method can substantially reduce the training time while obtaining highly effective features and coherent temporal structures.

Cannot find the paper you are looking for? You can Submit a new open access paper.