Search Results for author: Chong Liu

Found 10 papers, 3 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

Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning

no code implementations6 Nov 2020 Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang

The Private Aggregation of Teacher Ensembles (PATE) framework is one of the most promising recent approaches in differentially private learning.

Active Learning

Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification

no code implementations27 Jul 2020 Changsheng Li, Chong Liu, Lixin Duan, Peng Gao, Kai Zheng

In this paper, we present a novel deep metric learning method to tackle the multi-label image classification problem.

Classification General Classification +2

Unity Style Transfer for Person Re-Identification

no code implementations CVPR 2020 Chong Liu, Xiaojun Chang, Yi-Dong Shen

To solve this problem, we propose a UnityStyle adaption method, which can smooth the style disparities within the same camera and across different cameras.

Person Re-Identification Style Transfer +1

Supermartingale deflators in the absence of a numéraire

no code implementations16 Jan 2020 Philipp Harms, Chong Liu, Ariel Neufeld

In this paper we study arbitrage theory of financial markets in the absence of a num\'eraire both in discrete and continuous time.

Doubly Robust Crowdsourcing

no code implementations8 Jun 2019 Chong Liu, Yu-Xiang Wang

Synthetic and real-world experiments show that by combining the doubly robust approach with adaptive worker/item selection, we often need as low as 0. 1 labels per data point to achieve nearly the same accuracy as in the ideal world where all workers label all data points.

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