Wei Chen

30 papers A* 4A 2B 3Misc 1Journal 19
YearRankTypeTitle / Venue / Authors
2024 J jnl
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification.
CoRR
Qi Huang, Wei Chen, Thomas Bäck, Niki van Stein
2023 J jnl
Deep Learning for Instance Retrieval: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew
2023 J jnl
Deep Learning for Video-Text Retrieval: a Review.
CoRR
Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu
2023 J jnl
Deep learning for video-text retrieval: a review.
Int. J. Multim. Inf. Retr.
Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu
2023 J jnl
Lifelong Fine-Grained Image Retrieval.
IEEE Trans. Multim.
Wei Chen, Haoyang Xu, Nan Pu, Yu Liu, Mingrui Lao, Weiping Wang, Li Liu, Michael S. Lew
2022 J jnl
Feature Estimations Based Correlation Distillation for Incremental Image Retrieval.
IEEE Trans. Multim.
Wei Chen, Yu Liu, Nan Pu, Weiping Wang, Li Liu, Michael S. Lew
2022 A* conf
Meta Reconciliation Normalization for Lifelong Person Re-Identification.
ACM Multimedia
Nan Pu, Yu Liu, Wei Chen, Erwin M. Bakker, Michael S. Lew
2022 Misc conf
VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining.
ICASSP
Mingrui Lao, Yanming Guo, Wei Chen, Nan Pu, Michael S. Lew
2021 J jnl
Deep Image Retrieval: A Survey.
CoRR
Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew
2021 — —
Exploring deep learning for intelligent image retrieval.
Wei Chen
2021 A* conf
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering.
ACM Multimedia
Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew
2021 J jnl
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval.
CoRR
Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2021 J jnl
Integrating information theory and adversarial learning for cross-modal retrieval.
Pattern Recognit.
Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2021 A* conf
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation.
CVPR
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2021 J jnl
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation.
CoRR
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2021 J jnl
Multi-stage hybrid embedding fusion network for visual question answering.
Neurocomputing
Mingrui Lao, Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew
2021 J jnl
New Ideas and Trends in Deep Multimodal Content Understanding: A Review.
Neurocomputing
Wei Chen, Weiping Wang, Li Liu, Michael S. Lew
2021 J jnl
PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data.
CoRR
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
2021 J jnl
Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks.
CoRR
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew
2020 J jnl
A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision.
Int. J. Multim. Inf. Retr.
Theodoros Georgiou, Yu Liu, Wei Chen, Michael S. Lew
2020 B conf
Comparison of deep learning and hand crafted features for mining simulation data.
ICPR
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
2020 A* conf
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification.
ACM Multimedia
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2020 J jnl
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification.
CoRR
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2020 J jnl
New Ideas and Trends in Deep Multimodal Content Understanding: A Review.
CoRR
Wei Chen, Weiping Wang, Li Liu, Michael S. Lew
2020 B conf
Norm Loss: An efficient yet effective regularization method for deep neural networks.
ICPR
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew
2020 A conf
On the Exploration of Incremental Learning for Fine-grained Image Retrieval.
BMVC
Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew
2020 J jnl
On the Exploration of Incremental Learning for Fine-grained Image Retrieval.
CoRR
Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew
2019 A conf
Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval.
ICME
Wei Chen, Nan Pu, Yu Liu, Erwin M. Bakker, Michael S. Lew
2019 J jnl
SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer.
IEEE Trans. Multim.
Yu Liu, Wei Chen, Li Liu, Michael S. Lew
2018 B conf
An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation.
ICPR
Yu Liu, Yanming Guo, Wei Chen, Michael S. Lew