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Publications and preprints

2021

[20] Guangrun Wang, Keze Wang, Guangcong Wang, Philip Torr and Liang Lin. Solving Inefficiency of Self-supervised Representation Learning. ICCV 2021 (oral).
[19] Wenqi Liang, Guangcong Wang, Jianhuang Lai, and Xiaohua Xie. Homogeneous-to-Heterogeneous: Unsupervised Learning for RGB-Infrared Person Re-Identification, TIP (accepted), 2021.
[18] Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang, Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. TNNLS (accepted), 2021.
[17] Peijia Chen, Jianhuang Lai, Guangcong Wang, and Xiaohua Xie. Confidence-Guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection, ICME 2021 (oral).

2020

[16] Guangcong Wang, Jianhuang Lai, Wenqi Liang and Guangrun Wang. Smoothing Adversarial Domain Attack and p-Memory Reconsolidation for Cross-Domain Person Re-Identification,CVPR, 2020.
[15] Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, and Liang Lin Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark [J]. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS, accepted), 2020.
[14] Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin, Grammatically Recognizing Images with Tree Convolution [C]. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), San Diego, CA, USA, August 4-8, 2020. ACM, 2020.

2019

[13] Guangcong Wang, Jianhuang Lai, Peigen Huang and Xiaohua Xie. Spatial-Temporal Person Re-identification. AAAI, 2019 (16.2% accepted rate, I ranked 1st in the Market-1501 and DukeMTMC-reID leaderboards for months). paper, code, bibtex.
[12] Guangcong Wang, Jianhuang Lai, Guangrun Wang, Wenqi Liang, Function Feature Learning of Neural Networks, 2019.
[11] Rongcong Chen, Liang Lin, Guangrun Wang, Guangcong Wang, Jiqi Zhang, Image Recognition Model and Method with Network Structure Self-Adjusting [Patent]. Published number: 111062465A, 2020.04.24
[10] Guangcong Wang, Jianhuang Lai, Wenqi Liang, and Guangrun Wang. Learnable Parameter Similarity, arxiv, 2019, paper, code, bibtex.
[9] Wenqi Liang, Guangcong Wang, and Jianhuang Lai. Asymmetric Cross-domain Transfer Learning of Person Re-identification Based on the Many-to-Many Generative Adversarial Network, ACTA AUTOMATICA SINICA, 2019.
[8] Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, and Liang Lin. Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark, arxiv, 2019. paper, dataset, bibtex.
[7] Guangcong Wang, Jianhuang Lai, Zhenyu Xie and Xiaohua Xie. Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification, arxiv, 2019. paper, code, bibtex.

2018

[6] Guangcong Wang, Jianhuang Lai and Xiaohua Xie. P2SNet: Can an Image Match a Video for Person Re-identification in an End-to-end Way? T-CSVT, 2018. paper, bibtex
[5] Jiaxuan Zhuo, Zeyu Chen, Jianhuang Lai and Guangcong Wang. Occluded Person Re-identification. ICME, 2018. paper, dataset, bibtex.
[4] Jianhuang Lai, Peigen Huang, Guangcong Wang, Xiaohua Xie. Two stream based Spatial-Temporal Person Re-identification [Patent]. Published number: CN109325471A, 2018.10.31
[3] Wenqi Liang, Guangcong Wang, Jianhuang Lai, and Junyong Zhu. M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification. arxiv, 2018. paper, bibtex.

2017

[2] Guangcong Wang, Xiaohua Xie, Jianhuang Lai and Jiaxuan Zhuo. Deep Growing Learning. ICCV, 2017. paper, code, bibtex
[1] Jianhuang Lai, Xiao wang, Guangcong Wang, Multiple Object Tracking based Deep Learning and Conditional Random Field [Patent]. Published number: CN107122735A, 2017.09.01