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Few-shot Classification Guided by Generalization Error Bound

Recently, transfer learning has generated promising performance in few-shot classification by pre-training a backbone network on base …

Fan Liu, Sai Yang, Delong Chen, Huaxi Huang, Jun Zhou

Few-shot Classification Guided by Generalization Error Bound

MEP-3M: A Large-scale Multi-modal E-Commerce Products Dataset

We construct a large-scale Multi-modal E-commerce Products classification dataset MEP-3M, which consists of over 3 million products and 599 fine-grained product categories. Previsouly, the conference version of this paper won IJCAI 2021 LTDL Best Dataset Paper award.

Fan Liu, Delong Chen (joint first author), Xiaoyu Du, et al. “MEP-3M: A Large-scale Multi-modal E-Commerce Products Dataset”. In Pattern Recognition (2023).

Fan Liu, Delong Chen, Xiaoyu Du, Ruizhuo Gao, Feng Xu

A Review of Driver Fatigue Detection and Its Advances on the Use of RGB-D Camera and Deep Learning

In this review, we summarize the latest research findings and analyze the developmental trends of driver fatigue detection. We present the work on integration of RGB-D camera and deep learning, where Generative Adversarial Networks and multi-channel schemes are utilized to enhance the performance. [DOI]

Fan Liu, Delong Chen, Jun Zhou, Feng Xu

Deep Learning Based Single Sample Per Person Face Recognition: A Survey

We present a comprehensive survey on Single Sample Per Person (SSPP) Face Recognition. [DOI]

Fan Liu, Delong Chen, Fei Wang, Zewen Li, Feng Xu

Let AI Perform Better Next Time — A Systematic Review of Medical Imaging-based Automated Diagnosis of COVID-19: 2020-2022

This paper extended our previous review paper and present a systematic survey of Medical Imaging-based Automated Diagnosis of COVID-19. A total of 179 proposed models are involved [DOI].

Fan Liu, Delong Chen, Xiaocong Zhou, Wenwen Dai, Feng Xu

Self-Supervised Music Motion Synchronization Learning for Music-Driven Conducting Motion Generation

This paper proposed the first deep-learning based music-driven conducting motion generation method, and presented a large-scale music motion dataset ConductorMotion100 with unprecedented 100 hours length. The associated demo paper won the Best Demo Award in IEEE ICME 2021. My graduation thesis at HHU on this project was awarded as “First Class of Outstanding Graduation Thesis of Jiangsu Province” (江苏省优秀本科毕业论文一等奖).

Fan Liu, Delong Chen (corresponding author), et al. “Self-Supervised Music Motion Synchronization Learning for Music-Driven Conducting Motion Generation”. In Journal of Computer Science Technology, JCST (2022).

Fan Liu, Delong Chen, Ruizhi Zhou, Sai Yang, Feng Xu

Self-Supervised Music Motion Synchronization Learning for Music-Driven Conducting Motion Generation