An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation. - Yu Liu 012; Yanming Guo; Wei Chen 072; Michael S. Lew (ICPR, 2018)

Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval. - Wei Chen 072; Nan Pu; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (ICME, 2019)

SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer. - Yu Liu 012; Wei Chen 072; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2019)

On the Exploration of Incremental Learning for Fine-grained Image Retrieval. - Wei Chen 072; Yu Liu 012; Weiping Wang 002; Tinne Tuytelaars; Erwin M. Bakker; Michael S. Lew (BMVC, 2020)

Norm Loss: An efficient yet effective regularization method for deep neural networks. - Theodoros Georgiou 001; Sebastian Schmitt; Thomas Bäck; Wei Chen 072; Michael S. Lew (ICPR, 2020)

Comparison of deep learning and hand crafted features for mining simulation data. - Theodoros Georgiou 001; Sebastian Schmitt; Thomas Bäck; Nan Pu; Wei Chen 072; Michael S. Lew (ICPR, 2020)

Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. - Nan Pu; Wei Chen 072; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (ACM Multimedia, 2020)

A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision. - Theodoros Georgiou 001; Yu Liu 012; Wei Chen 072; Michael S. Lew (Int. J. Multim. Inf. Retr., 2020)

Lifelong Person Re-Identification via Adaptive Knowledge Accumulation. - Nan Pu; Wei Chen 072; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (CVPR, 2021)

From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering. - Mingrui Lao; Yanming Guo; Yu Liu 012; Wei Chen 072; Nan Pu; Michael S. Lew (ACM Multimedia, 2021)

Deep Image Retrieval: A Survey. - Wei Chen 072; Yu Liu 012; Weiping Wang 002; Erwin M. Bakker; Theodoros Georgiou 001; Paul W. Fieguth; Li Liu 002; Michael S. Lew (CoRR, 2021)

PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data. - Theodoros Georgiou 001; Sebastian Schmitt; Thomas Bäck; Nan Pu; Wei Chen 072; Michael S. Lew (CoRR, 2021)

Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks. - Theodoros Georgiou 001; Sebastian Schmitt; Thomas Bäck; Wei Chen 072; Michael S. Lew (CoRR, 2021)

New Ideas and Trends in Deep Multimodal Content Understanding: A Review. - Wei Chen 072; Weiping Wang 002; Li Liu 002; Michael S. Lew (Neurocomputing, 2021)

Multi-stage hybrid embedding fusion network for visual question answering. - Mingrui Lao; Yanming Guo; Nan Pu; Wei Chen 072; Yu Liu 012; Michael S. Lew (Neurocomputing, 2021)

Integrating information theory and adversarial learning for cross-modal retrieval. - Wei Chen 072; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (Pattern Recognit., 2021)

VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining. - Mingrui Lao; Yanming Guo; Wei Chen 072; Nan Pu; Michael S. Lew (ICASSP, 2022)

Meta Reconciliation Normalization for Lifelong Person Re-Identification. - Nan Pu; Yu Liu 012; Wei Chen 072; Erwin M. Bakker; Michael S. Lew (ACM Multimedia, 2022)

Feature Estimations Based Correlation Distillation for Incremental Image Retrieval. - Wei Chen 072; Yu Liu 012; Nan Pu; Weiping Wang 002; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2022)

Lifelong Fine-Grained Image Retrieval. - Wei Chen 072; Haoyang Xu; Nan Pu; Yu Liu 012; Mingrui Lao; Weiping Wang 002; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2023)

Deep learning for video-text retrieval: a review. - Cunjuan Zhu; Qi Jia 001; Wei Chen 072; Yanming Guo; Yu Liu 012 (Int. J. Multim. Inf. Retr., 2023)

Deep Learning for Instance Retrieval: A Survey. - Wei Chen 072; Yu Liu 012; Weiping Wang 002; Erwin M. Bakker; Theodoros Georgiou 001; Paul W. Fieguth; Li Liu 002; Michael S. Lew (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification. - Qi Huang; Wei Chen 072; Thomas Bäck; Niki van Stein (CoRR, 2024)