Wesley De Neve

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 59

Top Venues

Publications

Hyun Jung Lee, Utku Ozbulak, Homin Park, Stephen Depuydt, Wesley De Neve, Joris Vankerschaver
Assessing the reliability of point mutation as data augmentation for deep learning with genomic data. BMC Bioinform. 25 (1) (2024)
Esla Timothy Anzaku, Hyesoo Hong, Jin-Woo Park, Wonjun Yang, Kangmin Kim, Jongbum Won, Deshika Vinoshani Kumari Herath, Arnout Van Messem, Wesley De Neve
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement. CoRR (2024)
Esla Timothy Anzaku, Hyesoo Hong, Jin-Woo Park, Wonjun Yang, Kangmin Kim, Jongbum Won, Deshika Vinoshani Kumari Herath, Arnout Van Messem, Wesley De Neve
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement. IHCI (1) (2023)
Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. CoRR (2023)
Khoa Tuan Nguyen, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Joris Vankerschaver, Wesley De Neve
Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos Using NeRFs. MLMI@MICCAI (1) (2023)
Ho-min Park, Jongbum Won, Yunseol Park, Esla Timothy Anzaku, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve, Hyunjin Shim
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins. BMC Bioinform. 24 (1) (2023)
Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. Trans. Mach. Learn. Res. 2023 (2023)
Khoa Tuan Nguyen, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Joris Vankerschaver, Wesley De Neve
Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos using NeRFs. CoRR (2023)
Ho-min Park, Ganghyun Kim, Arnout Van Messem, Wesley De Neve
MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery. MuSe@ACM Multimedia (2023)
Esla Timothy Anzaku, Haohan Wang, Arnout Van Messem, Wesley De Neve
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets. CoRR (2022)
Utku Ozbulak, Manvel Gasparyan, Shodhan Rao, Wesley De Neve, Arnout Van Messem
Exact Feature Collisions in Neural Networks. CoRR (2022)
Ho-min Park, Ilho Yun, Ajit Kumar, Ankit Kumar Singh, Bong Jun Choi, Dhananjay Singh, Wesley De Neve
Towards Multimodal Prediction of Time-continuous Emotion using Pose Feature Engineering and a Transformer Encoder. MuSe @ ACM Multimedia (2022)
Xiaoyong Pan, Jasper Zuallaert, Xi Wang, Hong-Bin Shen, Elda Posada Campos, Denys O. Marushchak, Wesley De Neve
ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity. Bioinform. 36 (21) (2021)
Hanul Kang, Ho-min Park, Yuju Ahn, Arnout Van Messem, Wesley De Neve
Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. BMVC (2021)
Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. CoRR (2021)
Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. CoRR (2021)
Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. CoRR (2021)
Ajit Kumar, Bong Jun Choi, Sandeep Kumar Pandey, Sanghyeon Park, SeongIk Choi, Hanumant Singh Shekhawat, Wesley De Neve, Mukesh Saini, S. R. M. Prasanna, Dhananjay Singh
Exploring Multimodal Features and Fusion for Time-Continuous Prediction of Emotional Valence and Arousal. ICHI (2021)
Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Comput. Vis. Image Underst. 202 (2021)
Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, Tom Dhaene, Wesley De Neve
Indoor human activity recognition using high-dimensional sensors and deep neural networks. Neural Comput. Appl. 32 (16) (2020)
Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
Norms of Adversarial Examples While Maintaining Model-to-model Transferability. CoRR (2020)
Taewoo Jung, Esla Timothy Anzaku, Utku Özbulak, Stefan Magez, Arnout Van Messem, Wesley De Neve
Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning. IHCI (2) (2020)
Ji Yeon Baek, Maria Krishna de Guzman, Ho-min Park, Sanghyeon Park, Boyeon Shin, Tanja Cirkovic Velickovic, Arnout Van Messem, Wesley De Neve
Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams. ICPR Workshops (6) (2020)
Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem
Perturbation Analysis of Gradient-based Adversarial Attacks. CoRR (2020)
Mijung Kim, Ho-min Park, Jae Yoon Kim, Seong Hwan Kim, Sofie Hoeke, Wesley De Neve
MRI-based Diagnosis of Rotator Cuff Tears using Deep Learning and Weighted Linear Combinations. MLHC (2020)
Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem
Perturbation analysis of gradient-based adversarial attacks. Pattern Recognit. Lett. 135 (2020)
Ho-min Park, Byungkon Kang, Arnout Van Messem, Wesley De Neve
3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics. ICPR Workshops (4) (2020)
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. CoRR (2019)
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. MICCAI (2) (2019)
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. IJCNN (2019)
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. CoRR (2019)
Hajar Ghaem Sigarchian, Sara Logghe, Ruben Verborgh, Wesley De Neve, Frank Salliau, Erik Mannens, Rik Van de Walle, Dimitri Schuurman
Hybrid e-TextBooks as comprehensive interactive learning environments. Interact. Learn. Environ. 26 (4) (2018)
Tom Paridaens, Glenn Van Wallendael, Wesley De Neve, Peter Lambert
AQUa: an adaptive framework for compression of sequencing quality scores with random access functionality. Bioinform. 34 (3) (2018)
Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? CoRR (2018)
Azarakhsh Jalalvand, Kris Demuynck, Wesley De Neve, Jean-Pierre Martens
On the application of reservoir computing networks for noisy image recognition. Neurocomputing 277 (2018)
Mijung Kim, Ho-min Park, Jasper Zuallaert, Olivier Janssens, Sofie Van Hoecke, Wesley De Neve
Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning. BIBM (2018)
Utku Ozbulak, Wesley De Neve, Arnout Van Messem
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. CoRR (2018)
Mijung Kim, Olivier Janssens, Ho-min Park, Jasper Zuallaert, Sofie Van Hoecke, Wesley De Neve
Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning. CoRR (2018)
Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, André Bourdoux, Wesley De Neve, Tom Dhaene
Indoor Person Identification Using a Low-Power FMCW Radar. IEEE Trans. Geosci. Remote. Sens. 56 (7) (2018)
Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? EMNLP (2018)
Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve
activation functions in Quasi-Recurrent Neural Networks. Pattern Recognit. Lett. 116 (2018)
Jasper Zuallaert, Fréderic Godin, Mijung Kim, Arne Soete, Yvan Saeys, Wesley De Neve
SpliceRover: interpretable convolutional neural networks for improved splice site prediction. Bioinform. 34 (24) (2018)
Jasper Zuallaert, Mijung Kim, Arne Soete, Yvan Saeys, Wesley De Neve
TISRover: ConvNets learn biologically relevant features for effective translation initiation site prediction. Int. J. Data Min. Bioinform. 20 (3) (2018)
Jasper Zuallaert, Mijung Kim, Yvan Saeys, Wesley De Neve
Interpretable convolutional neural networks for effective translation initiation site prediction. BIBM (2017)
Fréderic Godin, Joni Dambre, Wesley De Neve
Improving Language Modeling using Densely Connected Recurrent Neural Networks. Rep4NLP@ACL (2017)
Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve
DReLUs: Dual Rectified Linear Units. CoRR (2017)
Jasper Zuallaert, Mijung Kim, Yvan Saeys, Wesley De Neve
Interpretable Convolutional Neural Networks for Effective Translation Initiation Site Prediction. CoRR (2017)
Jeong-Jik Seo, Hyungil Kim, Wesley De Neve, Yong Man Ro
Effective and efficient human action recognition using dynamic frame skipping and trajectory rejection. Image Vis. Comput. 58 (2017)
Mijung Kim, Jasper Zuallaert, Wesley De Neve
Few-shot Learning Using a Small-Sized Dataset of High-Resolution FUNDUS Images for Glaucoma Diagnosis. MMHealth@MM (2017)
Tom Paridaens, Glenn Van Wallendael, Wesley De Neve, Peter Lambert
AFRESh: an adaptive framework for compression of reads and assembled sequences with random access functionality. Bioinform. 33 (10) (2017)
Fréderic Godin, Joni Dambre, Wesley De Neve
Improving Language Modeling using Densely Connected Recurrent Neural Networks. CoRR (2017)
Evelien D'heer, Baptist Vandersmissen, Wesley De Neve, Pieter Verdegem, Rik Van de Walle
What are we missing? An empirical exploration in the structural biases of hashtag-based sampling on Twitter. First Monday 22 (2) (2017)
Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle, Jean-Pierre Martens
Towards using Reservoir Computing Networks for noise-robust image recognition. IJCNN (2016)
Baptist Vandersmissen, Lucas Sterckx, Thomas Demeester, Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle
An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks. ICMR (2016)
Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, Rik Van de Walle
A Distance-Based Approach for Semantic Dissimilarity in Knowledge Graphs. ICSC (2016)
Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, Rik Van de Walle
Normalized Semantic Web Distance. ESWC (2016)
Ben De Meester, Ruben Verborgh, Pieter Pauwels, Wesley De Neve, Erik Mannens, Rik Van de Walle
Towards robust and reliable multimedia analysis through semantic integration of services. Multim. Tools Appl. 75 (22) (2016)
Tom Paridaens, Jens Panneel, Wesley De Neve, Peter Lambert, Rik Van de Walle
Leveraging CABAC for No-Reference Compression of Genomic Data with Random Access Support. DCC (2016)
Fréderic Godin, Baptist Vandersmissen, Wesley De Neve, Rik Van de Walle
Multimedia Lab $@$ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations. NUT@IJCNLP (2015)
Ruben Verborgh, Miel Vander Sande, Pieter Heyvaert, Rik Van de Walle, Tom De Nies, Erik Mannens, Wesley De Neve, Joachim Van Herwegen
Using EPUB 3 and the Open Web Platform for Enhanced Presentation and Machine-Understandable Metadata for Digital. ELPUB (2015)
Tom De Nies, Jasper Verplanken, Ruben Verborgh, Wesley De Neve, Erik Mannens, Rik Van de Walle
Named-Entity-based Linking and Exploration of News Using an Adapted Jaccard Metric. NoISE@ESWC (2015)
Viktor Slavkovikj, Steven Verstockt, Wesley De Neve, Sofie Van Hoecke, Rik Van de Walle
Hyperspectral Image Classification with Convolutional Neural Networks. ACM Multimedia (2015)
Hajar Ghaem Sigarchian, Ben De Meester, Frank Salliau, Wesley De Neve, Sara Logghe, Ruben Verborgh, Erik Mannens, Rik Van de Walle, Dimitri Schuurman
Hybrid Books for Interactive Digital Storytelling: Connecting Story Entities and Emotions to Smart Environments. ICIDS (2015)
Jeong-Jik Seo, Jisoo Son, Hyungil Kim, Wesley De Neve, Yong Man Ro
Efficient and effective human action recognition in video through motion boundary description with a compact set of trajectories. FG (2015)
Tom De Nies, Christian Beecks, Wesley De Neve, Thomas Seidl, Erik Mannens, Rik Van de Walle
Towards Named-Entity-based Similarity Measures: Challenges and Opportunities. ESAIR (2014)
Viktor Slavkovikj, Steven Verstockt, Wesley De Neve, Sofie Van Hoecke, Rik Van de Walle
Image-Based Road Type Classification. ICPR (2014)
Fréderic Godin, Tom De Nies, Christian Beecks, Laurens De Vocht, Wesley De Neve, Erik Mannens, Thomas Seidl, Rik Van de Walle
The Normalized Freebase Distance. ESWC (Satellite Events) (2014)
Baptist Vandersmissen, Fréderic Godin, Abhineshwar Tomar, Wesley De Neve, Rik Van de Walle
The Rise of Mobile Social Video: An In-depth Analysis of Vine. SoMuS@ICMR (2014)
Tom Paridaens, Yves Van Stappen, Wesley De Neve, Peter Lambert, Rik Van de Walle
Towards block-based compression of genomic data with random access functionality. GlobalSIP (2014)
Jongho Lee, Hyun-seok Min, Jeong-Jik Seo, Wesley De Neve, Yong Man Ro
Sub-sampled dictionaries for coarse-to-fine sparse representation-based human action recognition. ICME (2014)
Ben De Meester, Hajar Ghaem Sigarchian, Tom De Nies, Anastasia Dimou, Wesley De Neve, Erik Mannens, Rik Van de Walle
Creating Discoverable Learning Content Using a User-Friendly Authoring Environment. LILE@ISWC (2014)
Baptist Vandersmissen, Abhineshwar Tomar, Fréderic Godin, Wesley De Neve, Rik Van de Walle
Ghent University-iMinds at MediaEval 2014 Diverse Images: Adaptive Clustering with Deep Features. MediaEval (2014)
Sihyoung Lee, Wesley De Neve, Yong Man Ro
Visually weighted neighbor voting for image tag relevance learning. Multim. Tools Appl. 72 (2) (2014)
Hajar Ghaem Sigarchian, Ben De Meester, Tom De Nies, Ruben Verborgh, Wesley De Neve, Erik Mannens, Rik Van de Walle
EPUB3 for Integrated and Customizable Representation of a Scientific Publication and its Associated Resources. LISC@ISWC (2014)
Abhineshwar Tomar, Fréderic Godin, Baptist Vandersmissen, Wesley De Neve, Rik Van de Walle
Towards Twitter hashtag recommendation using distributed word representations and a deep feed forward neural network. ICACCI (2014)
Ben De Meester, Tom De Nies, Hajar Ghaem Sigarchian, Miel Vander Sande, Jelle van Campen, Bram Van Impe, Wesley De Neve, Erik Mannens, Rik Van de Walle
A digital-first authoring environment for enriched e-books using EPUB 3. Inf. Serv. Use 34 (3-4) (2014)
Fréderic Godin, Pedro Debevere, Erik Mannens, Wesley De Neve, Rik Van de Walle
Leveraging Existing Tools for Named Entity Recognition in Microposts. #MSM (2013)
Hyun-seok Min, Seung-Ho Lee, Wesley De Neve, Yong Man Ro
Improved License Plate Recognition for Low-Resolution CCTV Forensics by Integrating Sparse Representation-Based Super-Resolution. IWDW (2013)
Hyun-seok Min, Wesley De Neve, Yong Man Ro
Sparse Representation-Based Human Action Recognition Using an Action Region-Aware Dictionary. ISM (2013)
Viktor Slavkovikj, Pieterjan De Potter, Steven Verstockt, Wesley De Neve, Sofie Van Hoecke, Rik Van de Walle
Visitor-art interaction by motion path detection. DSP (2013)
Fréderic Godin, Wesley De Neve, Rik Van de Walle
Towards fusion of collective knowledge and audio-visual content features for annotating broadcast video. ICMR (2013)
Tom De Nies, Gerald Haesendonck, Fréderic Godin, Wesley De Neve, Erik Mannens, Rik Van de Walle
Towards automatic assessment of the social media impact of news content. WWW (Companion Volume) (2013)
Tom De Nies, Wesley De Neve, Erik Mannens, Rik Van de Walle
Ghent University-iMinds at MediaEval 2013: An Unsupervised Named Entity-based Similarity Measure for Search and Hyperlinking. MediaEval (2013)
Baptist Vandersmissen, Abhineshwar Tomar, Fréderic Godin, Wesley De Neve, Rik Van de Walle
Ghent University-iMinds at MediaEval 2013 Diverse Images: Relevance-Based Hierarchical Clustering. MediaEval (2013)
Fréderic Godin, Viktor Slavkovikj, Wesley De Neve, Benjamin Schrauwen, Rik Van de Walle
Using topic models for Twitter hashtag recommendation. WWW (Companion Volume) (2013)
Steven Verstockt, Pieterjan De Potter, Wesley De Neve, Peter Lambert, Rik Van de Walle
VITEQ: A generic framework for no-reference quality evaluation of video testimonials. QoMEX (2012)
Hyun-seok Min, Semin Kim, Wesley De Neve, Yong Man Ro
Video Copy Detection Using Inclined Video Tomography and Bag-of-Visual-Words. ICME (2012)
Hyun-seok Min, Jae Young Choi, Wesley De Neve, Yong Man Ro
Near-Duplicate Video Clip Detection Using Model-Free Semantic Concept Detection and Adaptive Semantic Distance Measurement. IEEE Trans. Circuits Syst. Video Technol. 22 (8) (2012)
Tom De Nies, Pedro Debevere, Davy Van Deursen, Wesley De Neve, Erik Mannens, Rik Van de Walle
Ghent University-IBBT at MediaEval 2012 Search and Hyperlinking: Semantic Similarity using Named Entities. MediaEval (2012)
Bart Pieters, Charles-Frederik Hollemeersch, Jan De Cock, Wesley De Neve, Peter Lambert, Rik Van de Walle
Parallel deblocking filtering in H.264/AVC using multiple CPUs and GPUs. ACM Multimedia (2012)
Sihyoung Lee, Wesley De Neve, Yong Man Ro
Towards data-driven estimation of image tag relevance using visually similar and dissimilar folksonomy images. SAM@MM (2012)
Wonyong Eom, Sihyoung Lee, Wesley De Neve, Yong Man Ro
Improving image tag recommendation using favorite image context. ICIP (2011)
Hyun-seok Min, Jae Young Choi, Wesley De Neve, Yong Man Ro
Leveraging an image folksonomy and the Signature Quadratic Form Distance for semantic-based detection of near-duplicate video clips. ICME (2011)
Hosik Sohn, Wesley De Neve, Yong Man Ro
Privacy Protection in Video Surveillance Systems: Analysis of Subband-Adaptive Scrambling in JPEG XR. IEEE Trans. Circuits Syst. Video Technol. 21 (2) (2011)
Hyun-seok Min, Jae Young Choi, Wesley De Neve, Yong Man Ro
Towards a better understanding of model-free semantic concept detection for annotation and near-duplicate video clip detection. ICIP (2011)
Hyun-seok Min, Jae Young Choi, Wesley De Neve, Yong Man Ro
Bimodal fusion of low-level visual features and high-level semantic features for near-duplicate video clip detection. Signal Process. Image Commun. 26 (10) (2011)
Hosik Sohn, Dohyoung Lee, Wesley De Neve, Konstantinos N. Plataniotis, Yong Man Ro
Contribution of Non-scrambled Chroma Information in Privacy-Protected Face Images to Privacy Leakage. IWDW (2011)
Jae Young Choi, Wesley De Neve, Konstantinos N. Plataniotis, Yong Man Ro
Collaborative Face Recognition for Improved Face Annotation in Personal Photo Collections Shared on Online Social Networks. IEEE Trans. Multim. 13 (1) (2011)
Bart Pieters, Charles-Frederik Hollemeersch, Jan De Cock, Peter Lambert, Wesley De Neve, Rik Van de Walle
Parallel Deblocking Filtering in MPEG-4 AVC/H.264 on Massively Parallel Architectures. IEEE Trans. Circuits Syst. Video Technol. 21 (1) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wesley De Neve