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Michael S. Lew
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- affiliation: Leiden University, LIACS Media Lab, The Netherlands
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2020 – today
- 2025
- [j62]Song Wu
, Shihao Shan, Guoqiang Xiao
, Michael S. Lew, Xinbo Gao
:
Implicit Modality Knowledge Alignment and Uncertainty Estimation for visible-infrared person re-identification. Expert Syst. Appl. 259: 125291 (2025) - 2024
- [j61]Shan Liu, Guoqiang Xiao, Michael S. Lew, Xinbo Gao
, Song Wu:
Core-attributes enhanced generative adversarial networks for robust image enhancement. Eng. Appl. Artif. Intell. 131: 107799 (2024) - [j60]Song Wu, Shihao Shan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao
:
Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible-infrared Person Re-identification. Eng. Appl. Artif. Intell. 133: 107990 (2024) - [j59]Song Wu, Xiang Yuan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao
:
Deep cross-modal hashing with multi-task latent space learning. Eng. Appl. Artif. Intell. 136: 108944 (2024) - [j58]Manlu He, Erwin M. Bakker, Michael S. Lew:
DPD (DePression Detection) Net: a deep neural network for multimodal depression detection. Health Inf. Sci. Syst. 12(1): 53 (2024) - [c105]Cunjuan Zhu, Dongdong Cui, Qi Jia, Weimin Wang, Yu Liu, Michael S. Lew:
Sketch-Based 3D Shape Retrieval With Multi-View Fusion Transformer. ICASSP 2024: 3005-3009 - [c104]Yijin Liu, Guoqiang Xiao, Michael S. Lew, Song Wu:
Multi-Scale Fusion of Gated Neighborhood Attention Transformers for Single Image Deraining. ICASSP 2024: 3130-3134 - [c103]Lu Kang, Guoqiang Xiao, Michael S. Lew, Song Wu:
Arbitrary Style Transfer Based on Content Integrity and Style Consistency Enhancement. ICASSP 2024: 3135-3139 - [c102]Weiwei Zhou
, Guoqiang Xiao
, Michael S. Lew
, Song Wu
:
Causal Inference-based Few-Shot Class-Incremental Learning. ICMR 2024: 478-487 - [c101]Yitong Xing
, Guoqiang Xiao
, Michael S. Lew
, Song Wu
:
Lifelong Visible-Infrared Person Re-Identification via a Tri-Token Transformer with a Query-Key Mechanism. ICMR 2024: 988-997 - 2023
- [j57]Kai He
, Nan Pu, Mingrui Lao, Erwin M. Bakker, Michael S. Lew:
Dual selective knowledge transfer for few-shot classification. Appl. Intell. 53(22): 27779-27789 (2023) - [j56]Kai He, Nan Pu, Mingrui Lao, Michael S. Lew:
Few-shot and meta-learning methods for image understanding: a survey. Int. J. Multim. Inf. Retr. 12(2): 14 (2023) - [j55]Wei Chen
, Yu Liu
, Weiping Wang
, Erwin M. Bakker
, Theodoros Georgiou
, Paul W. Fieguth
, Li Liu
, Michael S. Lew:
Deep Learning for Instance Retrieval: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7270-7292 (2023) - [j54]Nan Pu
, Zhun Zhong
, Nicu Sebe
, Michael S. Lew:
A Memorizing and Generalizing Framework for Lifelong Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13567-13585 (2023) - [j53]Wei Chen
, Haoyang Xu
, Nan Pu
, Yu Liu
, Mingrui Lao, Weiping Wang
, Li Liu
, Michael S. Lew:
Lifelong Fine-Grained Image Retrieval. IEEE Trans. Multim. 25: 7533-7544 (2023) - [c100]Mingrui Lao, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, Michael S. Lew:
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering. AAAI 2023: 12995-13003 - [c99]Mingrui Lao
, Nan Pu
, Yu Liu
, Zhun Zhong
, Erwin M. Bakker
, Nicu Sebe
, Michael S. Lew
:
Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation. ACM Multimedia 2023: 4747-4758 - [c98]Mingrui Lao
, Nan Pu
, Zhun Zhong
, Nicu Sebe
, Michael S. Lew
:
FedVQA: Personalized Federated Visual Question Answering over Heterogeneous Scenes. ACM Multimedia 2023: 7796-7807 - 2022
- [j52]Wei Chen
, Yu Liu
, Nan Pu
, Weiping Wang
, Li Liu
, Michael S. Lew:
Feature Estimations Based Correlation Distillation for Incremental Image Retrieval. IEEE Trans. Multim. 24: 1844-1856 (2022) - [c97]Mingrui Lao, Yanming Guo, Wei Chen, Nan Pu, Michael S. Lew:
VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining. ICASSP 2022: 4833-4837 - [c96]Yichao Li, Mohamed S. Elmahdy, Michael S. Lew, Marius Staring
:
Transformation-consistent semi-supervised learning for prostate CT radiotherapy. Computer-Aided Diagnosis 2022 - [c95]Nan Pu
, Yu Liu, Wei Chen, Erwin M. Bakker, Michael S. Lew:
Meta Reconciliation Normalization for Lifelong Person Re-Identification. ACM Multimedia 2022: 541-549 - 2021
- [j51]Michael S. Lew:
Editorial for the ICMR 2020 special issue. Int. J. Multim. Inf. Retr. 10(2): 69-70 (2021) - [j50]Michael S. Lew:
Editorial: web of science and scopus impact in IJMIR. Int. J. Multim. Inf. Retr. 10(3): 141 (2021) - [j49]Mingrui Lao, Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew:
Multi-stage hybrid embedding fusion network for visual question answering. Neurocomputing 423: 541-550 (2021) - [j48]Wei Chen, Weiping Wang, Li Liu, Michael S. Lew:
New Ideas and Trends in Deep Multimodal Content Understanding: A Review. Neurocomputing 426: 195-215 (2021) - [j47]Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Integrating information theory and adversarial learning for cross-modal retrieval. Pattern Recognit. 117: 107983 (2021) - [c94]Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation. CVPR 2021: 7901-7910 - [c93]Mingrui Lao, Yanming Guo, Yu Liu, Michael S. Lew:
A Language Prior Based Focal Loss for Visual Question Answering. ICME 2021: 1-6 - [c92]Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew:
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering. ACM Multimedia 2021: 3370-3379 - [i15]Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew:
Deep Image Retrieval: A Survey. CoRR abs/2101.11282 (2021) - [i14]Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew:
PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data. CoRR abs/2103.06552 (2021) - [i13]Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew:
Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks. CoRR abs/2103.06583 (2021) - [i12]Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation. CoRR abs/2103.12462 (2021) - [i11]Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval. CoRR abs/2104.04991 (2021) - 2020
- [j46]Ard Oerlemans, Yanming Guo, Michael S. Lew, Tat-Seng Chua:
Special issue on deep learning in image and video retrieval. Int. J. Multim. Inf. Retr. 9(2): 61-62 (2020) - [j45]Theodoros Georgiou, Yu Liu, Wei Chen, Michael S. Lew:
A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision. Int. J. Multim. Inf. Retr. 9(3): 135-170 (2020) - [j44]Michael S. Lew:
State of the journal. Int. J. Multim. Inf. Retr. 9(4): 229 (2020) - [c91]Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew:
On the Exploration of Incremental Learning for Fine-grained Image Retrieval. BMVC 2020 - [c90]Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck
, Nan Pu
, Wei Chen, Michael S. Lew:
Comparison of deep learning and hand crafted features for mining simulation data. ICPR 2020: 3396-3403 - [c89]Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck
, Wei Chen, Michael S. Lew:
Norm Loss: An efficient yet effective regularization method for deep neural networks. ICPR 2020: 8812-8818 - [c88]Nan Pu
, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. ACM Multimedia 2020: 2149-2158 - [i10]Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. CoRR abs/2008.02520 (2020) - [i9]Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew:
On the Exploration of Incremental Learning for Fine-grained Image Retrieval. CoRR abs/2010.08020 (2020) - [i8]Wei Chen, Weiping Wang, Li Liu, Michael S. Lew:
New Ideas and Trends in Deep Multimodal Content Understanding: A Review. CoRR abs/2010.08189 (2020)
2010 – 2019
- 2019
- [j43]Michael S. Lew:
State of the journal. Int. J. Multim. Inf. Retr. 8(4): 193 (2019) - [j42]Yu Liu
, Yanming Guo, Li Liu, Erwin M. Bakker, Michael S. Lew:
CycleMatch: A cycle-consistent embedding network for image-text matching. Pattern Recognit. 93: 365-379 (2019) - [j41]Yu Liu
, Wei Chen, Li Liu
, Michael S. Lew
:
SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer. IEEE Trans. Multim. 21(9): 2209-2222 (2019) - [c87]Umut Özaydin, Theodoros Georgiou, Michael S. Lew:
A Comparison of CNN and Classic Features for Image Retrieval. CBMI 2019: 1-4 - [c86]Wei Chen, Nan Pu
, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval. ICME 2019: 43-48 - [c85]Nan Pu
, T. K. Georgiou, Erwin M. Bakker, Michael S. Lew:
Learning a Domain-Invariant Embedding for Unsupervised Person Re-identification. IJCNN 2019: 1-8 - [i7]Umut Özaydin, Theodoros Georgiou, Michael S. Lew:
A Comparison of CNN and Classic Features for Image Retrieval. CoRR abs/1908.09300 (2019) - 2018
- [j40]Michael S. Lew:
Editorial for the ICMR 2017 special issue. Int. J. Multim. Inf. Retr. 7(1): 1-2 (2018) - [j39]Yanming Guo, Yu Liu, Theodoros Georgiou, Michael S. Lew:
A review of semantic segmentation using deep neural networks. Int. J. Multim. Inf. Retr. 7(2): 87-93 (2018) - [j38]Yanming Guo
, Yu Liu, Erwin M. Bakker, Yuanhao Guo, Michael S. Lew:
CNN-RNN: a large-scale hierarchical image classification framework. Multim. Tools Appl. 77(8): 10251-10271 (2018) - [j37]Yu Liu
, Yanming Guo, Theodoros Georgiou, Michael S. Lew:
Fusion that matters: convolutional fusion networks for visual recognition. Multim. Tools Appl. 77(22): 29407-29434 (2018) - [j36]Yu Liu
, Li Liu, Yanming Guo, Michael S. Lew:
Learning visual and textual representations for multimodal matching and classification. Pattern Recognit. 84: 51-67 (2018) - [j35]Yanming Guo
, Yu Liu, Songyang Lao, Erwin M. Bakker, Liang Bai, Michael S. Lew
:
Bag of Surrogate Parts Feature for Visual Recognition. IEEE Trans. Multim. 20(6): 1525-1536 (2018) - [c84]Yanming Guo, Yu Liu, Maaike H. T. de Boer, Li Liu, Michael S. Lew:
A Dual Prediction Network for Image Captioning. ICME 2018: 1-6 - [c83]Yu Liu, Yanming Guo, Wei Chen, Michael S. Lew:
An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation. ICPR 2018: 219-224 - [c82]Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck
, Michael S. Lew:
Learning Fluid Flows. IJCNN 2018: 1-8 - [e14]Kiyoharu Aizawa, Michael S. Lew, Shin'ichi Satoh:
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, ICMR 2018, Yokohama, Japan, June 11-14, 2018. ACM 2018 [contents] - 2017
- [j34]Michael S. Lew:
ACM International Conference on Multimedia Retrieval (ICMR): current standing and impact. Int. J. Multim. Inf. Retr. 6(3): 189-191 (2017) - [j33]Song Wu
, Ard Oerlemans, Erwin M. Bakker, Michael S. Lew:
Deep binary codes for large scale image retrieval. Neurocomputing 257: 5-15 (2017) - [j32]Song Wu, Ard Oerlemans, Erwin M. Bakker, Michael S. Lew:
A comprehensive evaluation of local detectors and descriptors. Signal Process. Image Commun. 59: 150-167 (2017) - [c81]Yu Liu, Yanming Guo, Erwin M. Bakker, Michael S. Lew:
Learning a Recurrent Residual Fusion Network for Multimodal Matching. ICCV 2017: 4127-4136 - [c80]Yu Liu, Michael S. Lew:
Improving the discrimination between foreground and background for semantic segmentation. ICIP 2017: 1272-1276 - [c79]Yu Liu, Yanming Guo, Michael S. Lew:
On the Exploration of Convolutional Fusion Networks for Visual Recognition. MMM (1) 2017: 277-289 - [c78]Yu Liu, Yanming Guo, Michael S. Lew:
What Convnets Make for Image Captioning? MMM (1) 2017: 416-428 - 2016
- [j31]Michael S. Lew:
Special issue on visual information retrieval. Int. J. Multim. Inf. Retr. 5(1): 1-2 (2016) - [j30]Michael S. Lew:
State of the journal. Int. J. Multim. Inf. Retr. 5(2): 71-72 (2016) - [j29]Michael S. Lew:
Top multimedia information retrieval papers. Int. J. Multim. Inf. Retr. 5(3): 133-134 (2016) - [j28]Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu, Michael S. Lew:
Deep learning for visual understanding: A review. Neurocomputing 187: 27-48 (2016) - [c77]Yanming Guo, Michael S. Lew:
Bag of Surrogate Parts: one inherent feature of deep CNNs. BMVC 2016 - [c76]Yu Liu, Michael S. Lew:
Learning Relaxed Deep Supervision for Better Edge Detection. CVPR 2016: 231-240 - [c75]Lambert Schomaker, Andreas Weber, Michiel Thijssen, Maarten Heerlien, Aske Plaat, Siegfried Nijssen, Fons J. Verbeek, Michael S. Lew, Eulalia Gasso Miracle, Katy Wolstencroft, Ernest Suyver, Bart Verheij, Marco A. Wiering, René Dekker, Joost N. Kok, Lissa Roberts, H. Jaap van den Herik:
Making Sense of Illustrated Handwritten Archives. DH 2016: 674-676 - [c74]Song Wu, Michael S. Lew:
Image Correspondences Matching Using Multiple Features Fusion. ECCV Workshops (3) 2016: 737-746 - [c73]Song Wu, Michael S. Lew:
Comparison of Information Loss Architectures in CNNs. PCM (2) 2016: 346-354 - [i6]Yu Liu, Yanming Guo, Michael S. Lew:
On the Exploration of Convolutional Fusion Networks for Visual Recognition. CoRR abs/1611.05503 (2016) - 2015
- [j27]Michael S. Lew:
Special issue on video retrieval. Int. J. Multim. Inf. Retr. 4(1): 1-2 (2015) - [j26]Shih-Fu Chang, Thomas S. Huang, Michael S. Lew, Bart Thomee:
Special issue on concept detection with big data. Int. J. Multim. Inf. Retr. 4(2): 73-74 (2015) - [c72]Yu Liu, Yanming Guo, Song Wu, Michael S. Lew:
DeepIndex for Accurate and Efficient Image Retrieval. ICMR 2015: 43-50 - [c71]Yanming Guo, Songyang Lao, Yu Liu, Liang Bai, Shi Liu, Michael S. Lew:
Convolutional Neural Networks Features: Principal Pyramidal Convolution. PCM (1) 2015: 245-253 - 2014
- [j25]Michael S. Lew:
Multimedia information retrieval: best papers and expanding frontiers. Int. J. Multim. Inf. Retr. 3(2): 67-68 (2014) - [j24]Michael S. Lew:
ACM ICMR 2014 best papers in image retrieval. Int. J. Multim. Inf. Retr. 3(4): 207-208 (2014) - [c70]Song Wu, Michael S. Lew:
Salient features for visual word based image copy detection. ICMR 2014: 475 - [c69]Qi Zhang, Simon Zaaijer, Song Wu, Michael S. Lew:
3D Image Browsing: The Planets. ICMR 2014: 511 - [c68]Song Wu, Michael S. Lew:
RIFF: Retina-inspired Invariant Fast Feature Descriptor. ACM Multimedia 2014: 1129-1132 - [c67]Yanming Guo, Liang Bai, Songyang Lao, Song Wu, Michael S. Lew:
A Comparison between Artificial Neural Network and Cascade-Correlation Neural Network in Concept Classification. PCM 2014: 248-253 - 2013
- [j23]Bart Thomee, Mark J. Huiskes, Michael S. Lew:
Special issue on visual concept detection in the MIRFLICKR/ImageCLEF benchmark. Comput. Vis. Image Underst. 117(5): 451-452 (2013) - [j22]Michael S. Lew:
Best papers in multimedia information retrieval. Int. J. Multim. Inf. Retr. 2(2): 71-72 (2013) - [j21]Michael S. Lew:
International ranking of the ACM International Conference on Multimedia Retrieval (ICMR). Int. J. Multim. Inf. Retr. 2(4): 227-228 (2013) - [j20]Erik R. Gast, Ard Oerlemans, Michael S. Lew:
Very large scale nearest neighbor search: ideas, strategies and challenges. Int. J. Multim. Inf. Retr. 2(4): 229-241 (2013) - [c66]Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Michael S. Lew:
An evaluation of content-based duplicate image detection methods for web search. ICME 2013: 1-6 - [c65]Song Wu, Michael S. Lew:
Evaluation of salient point methods. ACM Multimedia 2013: 685-688 - 2012
- [j19]Michael S. Lew:
Multimedia information retrieval in the twenty-first century. Int. J. Multim. Inf. Retr. 1(1): 1-2 (2012) - [j18]Bart Thomee, Michael S. Lew:
Interactive search in image retrieval: a survey. Int. J. Multim. Inf. Retr. 1(2): 71-86 (2012) - [j17]Zhenyang Li, Michael S. Lew:
Cost-sensitive learning in social image tagging: review, new ideas and evaluation. Int. J. Multim. Inf. Retr. 1(4): 205-222 (2012) - [c64]Qi Zhang, Michael S. Lew:
The Leiden Augmented Reality System (LARS). ECCV Workshops (3) 2012: 639-642 - 2011
- [c63]Ard Oerlemans, Michael S. Lew:
RetrievalLab: a programming tool for content based retrieval. ICMR 2011: 71 - [e13]Guoping Qiu
, Kin-Man Lam, Hitoshi Kiya, Xiangyang Xue, C.-C. Jay Kuo
, Michael S. Lew:
Advances in Multimedia Information Processing - PCM 2010 - 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 2010, Proceedings, Part II. Lecture Notes in Computer Science 6298, Springer 2011, ISBN 978-3-642-15695-3 [contents] - [i5]Ruoyun Gao, Michael S. Lew, Ling Shao:
Dynamic Feature Description in Human Action Recognition. CoRR abs/1101.0234 (2011) - [i4]Thomas Steenbergen, Michael S. Lew:
Analysis of Using Browser-native Technology to Build Rich Internet Applications for Image Manipulation. CoRR abs/1101.0235 (2011) - [i3]Erik R. Gast, Michael S. Lew:
A Framework for Real-Time Face and Facial Feature Tracking using Optical Flow Pre-estimation and Template Tracking. CoRR abs/1101.0237 (2011) - [i2]Xiaojing Chen, Michael S. Lew:
Binary and nonbinary description of hypointensity in human brain MR images. CoRR abs/1101.0242 (2011) - [i1]Liang Wang, Nies Huijsmans, Michael S. Lew, Dan Tsymbala:
Across Browsers SVG Implementation. CoRR abs/1101.0243 (2011) - 2010
- [c62]Mark J. Huiskes, Bart Thomee, Michael S. Lew:
New trends and ideas in visual concept detection: the MIR flickr retrieval evaluation initiative. Multimedia Information Retrieval 2010: 527-536 - [c61]Ard Oerlemans, Michael S. Lew:
Minimum explanation complexity for MOD based visual concept detection. Multimedia Information Retrieval 2010: 567-576 - [c60]Bart Thomee, Erwin M. Bakker, Michael S. Lew:
TOP-SURF: a visual words toolkit. ACM Multimedia 2010: 1473-1476 - [e12]Guoping Qiu
, Kin-Man Lam, Hitoshi Kiya, Xiangyang Xue, C.-C. Jay Kuo
, Michael S. Lew:
Advances in Multimedia Information Processing - PCM 2010 - 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 21-24, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6297, Springer 2010, ISBN 978-3-642-15701-1 [contents]
2000 – 2009
- 2009
- [c59]Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Michael S. Lew:
Deep exploration for experiential image retrieval. ACM Multimedia 2009: 673-676 - 2008
- [j16]Nicu Sebe, Qi Tian, Michael S. Lew, Thomas S. Huang:
Similarity Matching in Computer Vision and Multimedia. Comput. Vis. Image Underst. 110(3): 309-311 (2008) - [c58]Mark J. Huiskes, Michael S. Lew:
Performance evaluation of relevance feedback methods. CIVR 2008: 239-248 - [c57]Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Michael S. Lew:
Using an artificial imagination for texture retrieval. ICPR 2008: 1-4 - [c56]Mark J. Huiskes, Michael S. Lew:
The MIR flickr retrieval evaluation. Multimedia Information Retrieval 2008: 39-43 - [c55]Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Michael S. Lew:
Large scale image copy detection evaluation. Multimedia Information Retrieval 2008: 59-66