(* stands for the corresponding author or project leader)
Wen Qian, Hao Luo*, Silong Peng, et al. Unstructured Feature Decoupling for Vehicle Re-Identification. ECCV2022.
Qiang Zhou, Chaohui Yu, Hao Luo, et al. MimCo: Masked Image Modeling Pre-training with Contrastive Teacher. ACMMM2022.
Shuting He, Hao Luo*, Pichao Wang, et al. Transreid: Transformer-based object re-identification. ICCV2021. [pdf] [code]
Jianyang Gu, Weihua Chen, Hao Luo, et al. Multi-View Evolutionary Training for Unsupervised Domain Adaptive Person Re-Identification[J]. IEEE Transactions on Information Forensics and Security, 2022, 17: 344-356.
Xiao Pan, Hao Luo, Jiang W, et al. SFGN: Representing the sequence with one super frame for video person re-identification[J]. Knowledge-Based Systems, 2022, 249: 108884.
Hao Luo, Pichao Wang, Yi Xu, et al. Self-Supervised Pre-Training for Transformer-Based Person Re-Identification. [pdf] [code]
Pichao Wang, Xue Wang, Hao Luo, et al. Scaled relu matters for training vision transformers.AAAI2022. [pdf]
Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, Wei Jiang. Bag of Tricks and A Strong Baseline for Deep Person Re-identification. (CVPR2019 Workshop, Oral)
Hao Luo, Wei Jiang, Youzhi Gu, Fuxu Liu, Xingyu Liao, Shenqi Lai, and Jianyang Gu. A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification. IEEE Transactions on Multimedia.
Hao Luo, Wei Jiang, Xuan Zhang, et al. AlignedReID++: Dynamically Matching Local Information for Person Re-Identification. (Pattern Recognition)
Hao Luo, Xing Fan, Chi Zhang, Wei Jiang. STNReID: Deep Convolutional Networks with Spatial Transformer Networks for Partial Person Re-Identification. IEEE Transactions on Multimedia.
Hao Luo, Zhengping Luo, Chao Xu, Wei Jiang. Optical plasma boundary reconstruction based onleast squares for EAST Tokamak[J]. Frontiers of Information Technology & Electronic Engineering, 2018. DOI:10.1631/FITEE.1700041
Hao Luo, Wei Jiang, Xing Fan, Sipeng Zhang. A Survey on Deep Learning Based Person Re-Identification[J]. ACTA AUTOMATICA SINICA, 2018. [pdf]
Xing Fan, Wei Jiang, Hao Luo, et al. SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification. Journal of Visual Communication and Image Representation (2019).
Jingjing Qian, Wei Jiang, Hao Luo*, Hongyan Yu. Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification. Measurement Science and Technology.
Jianyang Gu, Wei Jiang, Hao Luo*, et al. An efficient global representation constrained by Angular Triplet loss for vehicle re-identification. Pattern Analysis and Applications, 2020: 1-13.
Zaiqiang Wu, Wei Jiang, Hao Luo, Lin Cheng. A Novel Self-intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation. (Applied Science, 2019. DOI:10.3390/app9030400) [pdf] [BibTeX]
Xing Fan, Wei Jiang, Hao Luo, Weijie Mao, Hongyan Yu. Instance Hard Triplet Loss for both Cross-camera and In-video Person Re-identification. Applied Science.
Xing Fan, Wei Jiang, Hao Luo, Weijie Mao. Modality-transfer generative adversarial network and dual-level unified latent representation for visible thermal Person re-identification. The Visual Computer.
Haonan Xie, Wei Jiang, Hao Luo*, Hongyan Yu. Model Compression via Pruning and Knowledge Distillation for Person Re-identification. Journal of Ambient Intelligence and Humanized Computing. [pdf]
Shuting He, Hao Luo*, Weihua Chen, et al. Multi-Domain Learning and Identity Mining for Vehicle Re-Identification. CVPR2020 Workshop. [pdf] [code]
Jianyang Gu, Hao Luo*, Weihua Chen, et al. 1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification. ECCV2020 Workshops. [pdf]
Xing Fan, Hao Luo, Xuan Zhang, et al. SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification[C]//Asian Conference on Computer Vision. Springer, Cham, 2018.
Xing Fan, Hao Luo, Chi Zhang, Wei Jiang. Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification.
Xing Fan, Hao Luo, Chi Zhang, Wei Jiang, Yaser Sheikh. Beyond Part-based Convolution: Multi-scale Pooling and Random Stripe-shuffling for Person Re-identification. Neurocomputing.
Xuan Zhang , Hao Luo(Equal first authors), Xing Fan, et al. Alignedreid: Surpassing human-level performance in person re-identification[J]. arXiv preprint arXiv:1711.08184, 2017.
Qiqi Xiao, Hao Luo, Chi Zhang. Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification[J]. arXiv preprint arXiv:1710.00478, 2017.