Search Results for author: Hao Luo

Found 24 papers, 12 papers with code

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

1 code implementation23 Nov 2021 Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin

We first investigate self-supervised learning (SSL) methods with Vision Transformer (ViT) pretrained on unlabelled person images (the LUPerson dataset), and empirically find it significantly surpasses ImageNet supervised pre-training models on ReID tasks.

 Ranked #1 on Unsupervised Person Re-Identification on Market-1501 (using extra training data)

Self-Supervised Learning Unsupervised Domain Adaptation +1

Scaled ReLU Matters for Training Vision Transformers

no code implementations8 Sep 2021 Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin

In this paper, we further investigate this problem and extend the above conclusion: only early convolutions do not help for stable training, but the scaled ReLU operation in the \textit{convolutional stem} (\textit{conv-stem}) matters.

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

Accelerated differential inclusion for convex optimization

no code implementations11 Mar 2021 Hao Luo

This work introduces a second-order differential inclusion for unconstrained convex optimization.

Optimization and Control 37M15, 34E10, 90C25

A primal-dual flow for affine constrained convex optimization

no code implementations11 Mar 2021 Hao Luo

We introduce a novel primal-dual flow for affine constrained convex optimization problem.

Optimization and Control 37M99, 37N40, 65K05, 90C25

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

Counterfactual-based minority oversampling for imbalanced classification

no code implementations21 Aug 2020 Hao Luo, Li Liu

A key challenge of oversampling in imbalanced classification is that the generation of new minority samples often neglects the usage of majority classes, resulting in most new minority sampling spreading the whole minority space.

General Classification imbalanced classification

Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification

no code implementations29 Feb 2020 Xing Fan, Hao Luo, Chi Zhang, Wei Jiang

Another challenge of RGB-infrared ReID is that the intra-person (images from the same person) discrepancy is often larger than the inter-person (images from different persons) discrepancy, so a dual-subspace pairing strategy is proposed to alleviate this problem.

Cross-Modality Person Re-identification Image Generation +1

Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion

1 code implementation22 Jan 2020 Wen-Chin Huang, Hao Luo, Hsin-Te Hwang, Chen-Chou Lo, Yu-Huai Peng, Yu Tsao, Hsin-Min Wang

In this paper, we extend the CDVAE-VC framework by incorporating the concept of adversarial learning, in order to further increase the degree of disentanglement, thereby improving the quality and similarity of converted speech.

Voice Conversion

Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification

no code implementations12 Oct 2019 Jingjing Qian, Wei Jiang, Hao Luo, Hongyan Yu

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.

Vehicle Re-Identification

Object Detection in Video with Spatial-temporal Context Aggregation

no code implementations11 Jul 2019 Hao Luo, Lichao Huang, Han Shen, Yuan Li, Chang Huang, Xinggang Wang

Without any bells and whistles, our method obtains 80. 3\% mAP on the ImageNet VID dataset, which is superior over the previous state-of-the-arts.

Video Object Detection

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

7 code implementations17 Mar 2019 Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, Wei Jiang

In the literature, some effective training tricks are briefly appeared in several papers or source codes.

Person Re-Identification

STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification

no code implementations17 Mar 2019 Hao Luo, Xing Fan, Chi Zhang, Wei Jiang

Competition (or confrontation) is observed between the STN module and the ReID module, and two-stage training is applied to acquire a strong STNReID for partial ReID.

Person Re-Identification

A Novel Self-Intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation

no code implementations24 Jan 2019 Zaiqiang Wu, Wei Jiang, Hao Luo, Lin Cheng

To calculate the partial derivatives with respect to the coordinates of the vertices, we employed detection rays to divide vertices of statistical body shape models into different groups depending on whether the vertex is in the region of self-intersection.

3D Pose Estimation 3D Reconstruction

SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification

no code implementations16 Oct 2018 Xing Fan, Hao Luo, Xuan Zhang, Lingxiao He, Chi Zhang, Wei Jiang

Holistic person re-identification (ReID) has received extensive study in the past few years and achieves impressive progress.

Person Re-Identification

SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification

2 code implementations2 Jul 2018 Xing Fan, Wei Jiang, Hao Luo, Mengjuan Fei

In this paper, we use a modified softmax function, termed Sphere Softmax, to solve the classification problem and learn a hypersphere manifold embedding simultaneously.

Person Re-Identification Re-Ranking

AlignedReID: Surpassing Human-Level Performance in Person Re-Identification

6 code implementations22 Nov 2017 Xuan Zhang, Hao Luo, Xing Fan, Weilai Xiang, Yixiao Sun, Qiqi Xiao, Wei Jiang, Chi Zhang, Jian Sun

In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features.

Person Re-Identification

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