Assessment of the compression efficiency of the MPEG-4 AVC specification. - Wesley De Neve; Peter Lambert; Sam Lerouge; Rik Van de Walle (VCIP, 2004)

Generating MPEG-21 BSDL Descriptions Using Context-Related Attributes. - Davy De Schrijver; Wesley De Neve; Koen De Wolf; Rik Van de Walle (ISM, 2005)

GPU-assisted decoding of video samples represented in the YCoCg-R color space. - Wesley De Neve; Dieter Van Rijsselbergen; Charles-Frederik Hollemeersch (ACM Multimedia, 2005)

Using Bitstream Structure Descriptions for the Exploitation of Multi-layered Temporal Scalability in H.264/AVC's Base Specification. - Wesley De Neve; Davy Van Deursen; Davy De Schrijver; Koen De Wolf; Rik Van de Walle (PCM (1), 2005)

A Real-Time Content Adaptation Framework for Exploiting ROI Scalability in H.264/AVC. - Peter Lambert; Davy De Schrijver; Davy Van Deursen; Wesley De Neve; Yves Dhondt; Rik Van de Walle (ACIVS, 2006)

On an Evaluation of Transformation Languages in a Fully XML-Driven Framework for Video Content Adaptation. - Davy De Schrijver; Wesley De Neve; Davy Van Deursen; Jan De Cock; Rik Van de Walle (ICICIC (3), 2006)

Adaptive Residual Interpolation: a Tool for Efficient Spatial Scalability in Digital Video Coding. - Koen De Wolf; Davy De Schrijver; Wesley De Neve; Rik Van de Walle (IPCV, 2006)

XML-based customization along the scalability axes of H.264/AVC scalable video coding. - Davy De Schrijver; Wesley De Neve; Koen De Wolf; Stijn Notebaert; Rik Van de Walle (ISCAS, 2006)

A Real-Time XML-Based Adaptation System for Scalable Video Formats. - Davy Van Deursen; Davy De Schrijver; Wesley De Neve; Rik Van de Walle (PCM, 2006)

SNR Scalability in H.264/AVC Using Data Partitioning. - Stefaan Mys; Peter Lambert; Wesley De Neve; Piet Verhoeve; Rik Van de Walle (PCM, 2006)

Real-Time BSD-Driven Adaptation Along the Temporal Axis of H.264/AVC Bitstreams. - Wesley De Neve; Davy De Schrijver; Davy Van Deursen; Peter Lambert; Rik Van de Walle (PCM, 2006)

Using Placeholder Slices and MPEG-21 BSDL for ROI Extraction in H.264/AVC FMO-Encoded Bitstreams. - Peter Lambert; Wesley De Neve; Davy De Schrijver; Yves Dhondt; Rik Van de Walle (SIGMAP, 2006)

Flexible macroblock ordering in H.264/AVC. - Peter Lambert; Wesley De Neve; Yves Dhondt; Rik Van de Walle (J. Vis. Commun. Image Represent., 2006)

MPEG-21 bitstream syntax descriptions for scalable video codecs. - Davy De Schrijver; Chris Poppe; Sam Lerouge; Wesley De Neve; Rik Van de Walle (Multim. Syst., 2006)

BFlavor: A harmonized approach to media resource adaptation, inspired by MPEG-21 BSDL and XFlavor. - Wesley De Neve; Davy Van Deursen; Davy De Schrijver; Sam Lerouge; Koen De Wolf; Rik Van de Walle (Signal Process. Image Commun., 2006)

Rate-distortion performance of H.264/AVC compared to state-of-the-art video codecs. - Peter Lambert; Wesley De Neve; Peter De Neve; Ingrid Moerman; Piet Demeester; Rik Van de Walle (IEEE Trans. Circuits Syst. Video Technol., 2006)

Exploitation of Combined Scalability in Scalable H.264/AVC Bitstreams by Using an MPEG-21 XML-Driven Framework. - Davy De Schrijver; Wesley De Neve; Koen De Wolf; Davy Van Deursen; Rik Van de Walle (ACIVS, 2007)

Analysis of Prediction Mode Decision in Spatial Enhancement Layers in H.264/AVC SVC. - Koen De Wolf; Davy De Schrijver; Wesley De Neve; Saar De Zutter; Peter Lambert; Rik Van de Walle (CAIP, 2007)

Automatic generation of generic Bitstream Syntax Descriptions applied to H.264/AVC SVC encoded video streams. - Davy Van Deursen; Wesley De Neve; Davy De Schrijver; Rik Van de Walle (ICIAP, 2007)

XML-driven Exploitation of Combined Scalability in Scalable H.264/AVC Bitstreams. - Davy De Schrijver; Wesley De Neve; Koen De Wolf; Peter Lambert; Davy Van Deursen; Rik Van de Walle (ISCAS, 2007)

MuMiVA: A Multimedia Delivery Platform Using Format-Agnostic, XML-Driven Content Adaptation. - Davy Van Deursen; Sarah De Bruyne; Wim Van Lancker; Wesley De Neve; Davy De Schrijver; Hermann Hellwagner; Rik Van de Walle (ISM, 2007)

Temporal Video Segmentation on H.264/AVC Compressed Bitstreams. - Sarah De Bruyne; Wesley De Neve; Koen De Wolf; Davy De Schrijver; Piet Verhoeve; Rik Van de Walle (MMM (1), 2007)

Efficient context management in context-aware environments. - Saar De Zutter; Jürgen Slowack; Wesley De Neve; Rik Van de Walle (MobiMedia, 2007)

Shot Boundary Detection for H.264/AVC Bitstreams with Frames Containing Multiple Types of Slices. - Sarah De Bruyne; Wesley De Neve; Davy De Schrijver; Peter Lambert; Piet Verhoeve; Rik Van de Walle (PCM, 2007)

Predictable Processing of Multimedia Content, Using MPEG-21 Digital Item Processing. - Chris Poppe; Frederik De Keukelaere; Saar De Zutter; Sarah De Bruyne; Wesley De Neve; Rik Van de Walle (PCM, 2007)

Performance Evaluation of Adaptive Residual Interpolation, a Tool for Inter-layer Prediction in H.264/AVC Scalable Video Coding. - Koen De Wolf; Davy De Schrijver; Jan De Cock; Wesley De Neve; Rik Van de Walle (SCIA, 2007)

XML-driven Bitrate Adaptation of SVC Bitstreams. - Tom Paridaens; Davy De Schrijver; Wesley De Neve; Rik Van de Walle (WIAMIS, 2007)

Motion Compensation and Reconstruction of H.264/AVC Video Bitstreams using the GPU. - Bart Pieters; Dieter Van Rijsselbergen; Wesley De Neve; Rik Van de Walle (WIAMIS, 2007)

XML-based Exploitation of Region of Interest Scalability in Scalable Video Coding. - Davy De Schrijver; Wesley De Neve; Davy Van Deursen; Yves Dhondt; Rik Van de Walle (WIAMIS, 2007)

An optimized MPEG-21 BSDL framework for the adaptation of scalable bitstreams. - Davy De Schrijver; Wesley De Neve; Koen De Wolf; Robbie De Sutter; Rik Van de Walle (J. Vis. Commun. Image Represent., 2007)

NinSuna: A Format-Independent Multimedia Content Adaptation Platform Based on Semantic Web Technologies. - Davy Van Deursen; Wim Van Lancker; Tom Paridaens; Wesley De Neve; Erik Mannens; Rik Van de Walle (ISM, 2008)

gBFlavor: a new tool for fast and automatic generation of generic bitstream syntax descriptions. - Davy Van Deursen; Wesley De Neve; Davy De Schrijver; Rik Van de Walle (Multim. Tools Appl., 2008)

A compressed-domain approach for shot boundary detection on H.264/AVC bit streams. - Sarah De Bruyne; Davy Van Deursen; Jan De Cock; Wesley De Neve; Peter Lambert; Rik Van de Walle (Signal Process. Image Commun., 2008)

Privacy Protection in Video Surveillance Systems Using Scalable Video Coding. - Hosik Sohn; Esla Timothy Anzaku; Wesley De Neve; Yong Man Ro; Konstantinos N. Plataniotis (AVSS, 2009)

Face annotation for personal photos using collaborative face recognition in online social networks. - Jae Young Choi; Wesley De Neve; Yong Man Ro; Konstantinos N. Plataniotis (DPS, 2009)

Semantic annotation of personal video content using an image folksonomy. - Hyun-seok Min; Jae Young Choi; Wesley De Neve; Yong Man Ro; Konstantinos N. Plataniotis (ICIP, 2009)

Semantic home video categorization. - Hyun-seok Min; Young Bok Lee; Wesley De Neve; Yong Man Ro (Image Processing: Algorithms and Systems, 2009)

Near-Duplicate Video Detection Using Temporal Patterns of Semantic Concepts. - Hyun-seok Min; Jae Young Choi; Wesley De Neve; Yong Man Ro (ISM, 2009)

A Statistical and Iterative Method for Data Hiding in Palette-Based Images. - Semin Kim; Wesley De Neve; Yong Man Ro (IWDW, 2009)

Region-of-interest scrambling for scalable surveillance video using JPEG XR. - Hosik Sohn; Wesley De Neve; Yong Man Ro (ACM Multimedia, 2009)

Semantic adaptation of synchronized multimedia streams in a format-independent way. - Davy Van Deursen; Wesley De Neve; Wim Van Lancker; Rik Van de Walle (PCS, 2009)

An Objective Perceptual Quality-Based ADTE for Adapting Mobile SVC Video Content. - Cheon Seog Kim; Hosik Sohn; Wesley De Neve; Yong Man Ro (IEICE Trans. Inf. Syst., 2009)

Improved BSDL-based content adaptation for JPEG 2000 and HD Photo (JPEG XR). - Wesley De Neve; Davy Van Deursen; Wim Van Lancker; Yong Man Ro; Rik Van de Walle (Signal Process. Image Commun., 2009)

Exploiting collective knowledge in an image folksonomy for semantic-based near-duplicate video detection. - Hyun-seok Min; Wesley De Neve; Yong Man Ro (ICIP, 2010)

Image tag refinement along the 'what' dimension using tag categorization and neighbor voting. - Sihyoung Lee; Wesley De Neve; Yong Man Ro (ICME, 2010)

Towards using semantic features for near-duplicate video detection. - Hyun-seok Min; Wesley De Neve; Yong Man Ro (ICME, 2010)

Semantic Concept Detection for User-Generated Video Content Using a Refined Image Folksonomy. - Hyun-seok Min; Sihyoung Lee; Wesley De Neve; Yong Man Ro (MMM, 2010)

Format-independent and metadata-driven media resource adaptation using semantic web technologies. - Davy Van Deursen; Wim Van Lancker; Sarah De Bruyne; Wesley De Neve; Erik Mannens; Rik Van de Walle (Multim. Syst., 2010)

NinSuna: a fully integrated platform for format-independent multimedia content adaptation and delivery using Semantic Web technologies. - Davy Van Deursen; Wim Van Lancker; Wesley De Neve; Tom Paridaens; Erik Mannens; Rik Van de Walle (Multim. Tools Appl., 2010)

MAP-based image tag recommendation using a visual folksonomy. - Sihyoung Lee; Wesley De Neve; Konstantinos N. Plataniotis; Yong Man Ro (Pattern Recognit. Lett., 2010)

Tag refinement in an image folksonomy using visual similarity and tag co-occurrence statistics. - Sihyoung Lee; Wesley De Neve; Yong Man Ro (Signal Process. Image Commun., 2010)

Full-Reference Video Quality Metric for Fully Scalable and Mobile SVC Content. - Hosik Sohn; Hana Yoo; Wesley De Neve; Cheon Seog Kim; Yong Man Ro (IEEE Trans. Broadcast., 2010)

Towards an automatic face indexing system for actor-based video services in an IPTV environment. - Jae Young Choi; Wesley De Neve; Yong Man Ro (IEEE Trans. Consumer Electron., 2010)

Automatic Face Annotation in Personal Photo Collections Using Context-Based Unsupervised Clustering and Face Information Fusion. - Jae Young Choi; Wesley De Neve; Yong Man Ro; Konstantinos N. Plataniotis (IEEE Trans. Circuits Syst. Video Technol., 2010)

Improving image tag recommendation using favorite image context. - Wonyong Eom; Sihyoung Lee; Wesley De Neve; Yong Man Ro (ICIP, 2011)

Towards a better understanding of model-free semantic concept detection for annotation and near-duplicate video clip detection. - Hyun-seok Min; Jae Young Choi; Wesley De Neve; Yong Man Ro (ICIP, 2011)

Leveraging an image folksonomy and the Signature Quadratic Form Distance for semantic-based detection of near-duplicate video clips. - Hyun-seok Min; Jae Young Choi; Wesley De Neve; Yong Man Ro (ICME, 2011)

Contribution of Non-scrambled Chroma Information in Privacy-Protected Face Images to Privacy Leakage. - Hosik Sohn; Dohyoung Lee; Wesley De Neve; Konstantinos N. Plataniotis; Yong Man Ro (IWDW, 2011)

Bimodal fusion of low-level visual features and high-level semantic features for near-duplicate video clip detection. - Hyun-seok Min; Jae Young Choi; Wesley De Neve; Yong Man Ro (Signal Process. Image Commun., 2011)

Parallel Deblocking Filtering in MPEG-4 AVC/H.264 on Massively Parallel Architectures. - Bart Pieters; Charles-Frederik Hollemeersch; Jan De Cock; Peter Lambert; Wesley De Neve; Rik Van de Walle (IEEE Trans. Circuits Syst. Video Technol., 2011)

Privacy Protection in Video Surveillance Systems: Analysis of Subband-Adaptive Scrambling in JPEG XR. - Hosik Sohn; Wesley De Neve; Yong Man Ro (IEEE Trans. Circuits Syst. Video Technol., 2011)

Collaborative Face Recognition for Improved Face Annotation in Personal Photo Collections Shared on Online Social Networks. - Jae Young Choi; Wesley De Neve; Konstantinos N. Plataniotis; Yong Man Ro (IEEE Trans. Multim., 2011)

Video Copy Detection Using Inclined Video Tomography and Bag-of-Visual-Words. - Hyun-seok Min; Semin Kim; Wesley De Neve; Yong Man Ro (ICME, 2012)

Ghent University-IBBT at MediaEval 2012 Search and Hyperlinking: Semantic Similarity using Named Entities. - Tom De Nies; Pedro Debevere; Davy Van Deursen; Wesley De Neve; Erik Mannens; Rik Van de Walle (MediaEval, 2012)

Towards data-driven estimation of image tag relevance using visually similar and dissimilar folksonomy images. - Sihyoung Lee; Wesley De Neve; Yong Man Ro (SAM@MM, 2012)

Parallel deblocking filtering in H.264/AVC using multiple CPUs and GPUs. - Bart Pieters; Charles-Frederik Hollemeersch; Jan De Cock; Wesley De Neve; Peter Lambert; Rik Van de Walle (ACM Multimedia, 2012)

VITEQ: A generic framework for no-reference quality evaluation of video testimonials. - Steven Verstockt; Pieterjan De Potter; Wesley De Neve; Peter Lambert; Rik Van de Walle (QoMEX, 2012)

Near-Duplicate Video Clip Detection Using Model-Free Semantic Concept Detection and Adaptive Semantic Distance Measurement. - Hyun-seok Min; Jae Young Choi; Wesley De Neve; Yong Man Ro (IEEE Trans. Circuits Syst. Video Technol., 2012)

Visitor-art interaction by motion path detection. - Viktor Slavkovikj; Pieterjan De Potter; Steven Verstockt; Wesley De Neve; Sofie Van Hoecke; Rik Van de Walle (DSP, 2013)

Sparse Representation-Based Human Action Recognition Using an Action Region-Aware Dictionary. - Hyun-seok Min; Wesley De Neve; Yong Man Ro (ISM, 2013)

Improved License Plate Recognition for Low-Resolution CCTV Forensics by Integrating Sparse Representation-Based Super-Resolution. - Hyun-seok Min; Seung-Ho Lee; Wesley De Neve; Yong Man Ro (IWDW, 2013)

Ghent University-iMinds at MediaEval 2013: An Unsupervised Named Entity-based Similarity Measure for Search and Hyperlinking. - Tom De Nies; Wesley De Neve; Erik Mannens; Rik Van de Walle (MediaEval, 2013)

Ghent University-iMinds at MediaEval 2013 Diverse Images: Relevance-Based Hierarchical Clustering. - Baptist Vandersmissen; Abhineshwar Tomar; Fréderic Godin; Wesley De Neve; Rik Van de Walle (MediaEval, 2013)

Towards fusion of collective knowledge and audio-visual content features for annotating broadcast video. - Fréderic Godin; Wesley De Neve; Rik Van de Walle (ICMR, 2013)

Leveraging Existing Tools for Named Entity Recognition in Microposts. - Fréderic Godin; Pedro Debevere; Erik Mannens; Wesley De Neve; Rik Van de Walle (#MSM, 2013)

Using topic models for Twitter hashtag recommendation. - Fréderic Godin; Viktor Slavkovikj; Wesley De Neve; Benjamin Schrauwen; Rik Van de Walle (WWW (Companion Volume), 2013)

Towards automatic assessment of the social media impact of news content. - Tom De Nies; Gerald Haesendonck; Fréderic Godin; Wesley De Neve; Erik Mannens; Rik Van de Walle (WWW (Companion Volume), 2013)

Towards Named-Entity-based Similarity Measures: Challenges and Opportunities. - Tom De Nies; Christian Beecks; Wesley De Neve; Thomas Seidl 001; Erik Mannens; Rik Van de Walle (ESAIR, 2014)

The Normalized Freebase Distance. - Fréderic Godin; Tom De Nies; Christian Beecks; Laurens De Vocht; Wesley De Neve; Erik Mannens; Thomas Seidl 001; Rik Van de Walle (ESWC (Satellite Events), 2014)

Towards block-based compression of genomic data with random access functionality. - Tom Paridaens; Yves Van Stappen; Wesley De Neve; Peter Lambert; Rik Van de Walle (GlobalSIP, 2014)

Towards Twitter hashtag recommendation using distributed word representations and a deep feed forward neural network. - Abhineshwar Tomar; Fréderic Godin; Baptist Vandersmissen; Wesley De Neve; Rik Van de Walle (ICACCI, 2014)

Sub-sampled dictionaries for coarse-to-fine sparse representation-based human action recognition. - Jongho Lee; Hyun-seok Min; Jeong-Jik Seo; Wesley De Neve; Yong Man Ro (ICME, 2014)

Image-Based Road Type Classification. - Viktor Slavkovikj; Steven Verstockt; Wesley De Neve; Sofie Van Hoecke; Rik Van de Walle (ICPR, 2014)

Ghent University-iMinds at MediaEval 2014 Diverse Images: Adaptive Clustering with Deep Features. - Baptist Vandersmissen; Abhineshwar Tomar; Fréderic Godin; Wesley De Neve; Rik Van de Walle (MediaEval, 2014)

The Rise of Mobile Social Video: An In-depth Analysis of Vine. - Baptist Vandersmissen; Fréderic Godin; Abhineshwar Tomar; Wesley De Neve; Rik Van de Walle (SoMuS@ICMR, 2014)

Creating Discoverable Learning Content Using a User-Friendly Authoring Environment. - Ben De Meester; Hajar Ghaem Sigarchian; Tom De Nies; Anastasia Dimou; Wesley De Neve; Erik Mannens; Rik Van de Walle (LILE@ISWC, 2014)

EPUB3 for Integrated and Customizable Representation of a Scientific Publication and its Associated Resources. - Hajar Ghaem Sigarchian; Ben De Meester; Tom De Nies; Ruben Verborgh; Wesley De Neve; Erik Mannens; Rik Van de Walle (LISC@ISWC, 2014)

A digital-first authoring environment for enriched e-books using EPUB 3. - 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 (Inf. Serv. Use, 2014)

Visually weighted neighbor voting for image tag relevance learning. - Sihyoung Lee; Wesley De Neve; Yong Man Ro (Multim. Tools Appl., 2014)

Multimedia Lab $@$ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations. - Fréderic Godin; Baptist Vandersmissen; Wesley De Neve; Rik Van de Walle (NUT@IJCNLP, 2015)

Using EPUB 3 and the Open Web Platform for Enhanced Presentation and Machine-Understandable Metadata for Digital. - Ruben Verborgh; Miel Vander Sande; Pieter Heyvaert; Rik Van de Walle; Tom De Nies; Erik Mannens; Wesley De Neve; Joachim Van Herwegen (ELPUB, 2015)

Named-Entity-based Linking and Exploration of News Using an Adapted Jaccard Metric. - Tom De Nies; Jasper Verplanken; Ruben Verborgh; Wesley De Neve; Erik Mannens; Rik Van de Walle (NoISE@ESWC, 2015)

Efficient and effective human action recognition in video through motion boundary description with a compact set of trajectories. - Jeong-Jik Seo; Jisoo Son; Hyungil Kim; Wesley De Neve; Yong Man Ro (FG, 2015)

Hybrid Books for Interactive Digital Storytelling: Connecting Story Entities and Emotions to Smart Environments. - Hajar Ghaem Sigarchian; Ben De Meester; Frank Salliau; Wesley De Neve; Sara Logghe; Ruben Verborgh; Erik Mannens; Rik Van de Walle; Dimitri Schuurman (ICIDS, 2015)

Hyperspectral Image Classification with Convolutional Neural Networks. - Viktor Slavkovikj; Steven Verstockt; Wesley De Neve; Sofie Van Hoecke; Rik Van de Walle (ACM Multimedia, 2015)

Leveraging CABAC for No-Reference Compression of Genomic Data with Random Access Support. - Tom Paridaens; Jens Panneel; Wesley De Neve; Peter Lambert; Rik Van de Walle (DCC, 2016)

Normalized Semantic Web Distance. - Tom De Nies; Christian Beecks; Fréderic Godin; Wesley De Neve; Grzegorz Stepien; Dörthe Arndt; Laurens De Vocht; Ruben Verborgh; Thomas Seidl 001; Erik Mannens; Rik Van de Walle (ESWC, 2016)

Towards using Reservoir Computing Networks for noise-robust image recognition. - Azarakhsh Jalalvand; Wesley De Neve; Rik Van de Walle; Jean-Pierre Martens (IJCNN, 2016)

An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks. - Baptist Vandersmissen; Lucas Sterckx; Thomas Demeester; Azarakhsh Jalalvand; Wesley De Neve; Rik Van de Walle (ICMR, 2016)

A Distance-Based Approach for Semantic Dissimilarity in Knowledge Graphs. - Tom De Nies; Christian Beecks; Fréderic Godin; Wesley De Neve; Grzegorz Stepien; Dörthe Arndt; Laurens De Vocht; Ruben Verborgh; Thomas Seidl 001; Erik Mannens; Rik Van de Walle (ICSC, 2016)

Towards robust and reliable multimedia analysis through semantic integration of services. - Ben De Meester; Ruben Verborgh; Pieter Pauwels; Wesley De Neve; Erik Mannens; Rik Van de Walle (Multim. Tools Appl., 2016)

Interpretable convolutional neural networks for effective translation initiation site prediction. - Jasper Zuallaert; Mijung Kim; Yvan Saeys; Wesley De Neve (BIBM, 2017)

Few-shot Learning Using a Small-Sized Dataset of High-Resolution FUNDUS Images for Glaucoma Diagnosis. - Mijung Kim; Jasper Zuallaert; Wesley De Neve (MMHealth@MM, 2017)

Improving Language Modeling using Densely Connected Recurrent Neural Networks. - Fréderic Godin; Joni Dambre; Wesley De Neve (Rep4NLP@ACL, 2017)

AFRESh: an adaptive framework for compression of reads and assembled sequences with random access functionality. - Tom Paridaens; Glenn Van Wallendael; Wesley De Neve; Peter Lambert (Bioinform., 2017)

DReLUs: Dual Rectified Linear Units. - Fréderic Godin; Jonas Degrave; Joni Dambre; Wesley De Neve (CoRR, 2017)

What are we missing? An empirical exploration in the structural biases of hashtag-based sampling on Twitter. - Evelien D'heer; Baptist Vandersmissen; Wesley De Neve; Pieter Verdegem; Rik Van de Walle (First Monday, 2017)

Effective and efficient human action recognition using dynamic frame skipping and trajectory rejection. - Jeong-Jik Seo; Hyungil Kim; Wesley De Neve; Yong Man Ro (Image Vis. Comput., 2017)

Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning. - Mijung Kim; Ho-min Park; Jasper Zuallaert; Olivier Janssens; Sofie Van Hoecke; Wesley De Neve (BIBM, 2018)

Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? - Fréderic Godin; Kris Demuynck; Joni Dambre; Wesley De Neve; Thomas Demeester (EMNLP, 2018)

AQUa: an adaptive framework for compression of sequencing quality scores with random access functionality. - Tom Paridaens; Glenn Van Wallendael; Wesley De Neve; Peter Lambert (Bioinform., 2018)

SpliceRover: interpretable convolutional neural networks for improved splice site prediction. - Jasper Zuallaert; Fréderic Godin; Mijung Kim; Arne Soete; Yvan Saeys; Wesley De Neve (Bioinform., 2018)

How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. - Utku Ozbulak; Wesley De Neve; Arnout Van Messem (CoRR, 2018)

Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning. - Mijung Kim; Olivier Janssens; Ho-min Park; Jasper Zuallaert; Sofie Van Hoecke; Wesley De Neve (CoRR, 2018)

TISRover: ConvNets learn biologically relevant features for effective translation initiation site prediction. - Jasper Zuallaert; Mijung Kim; Arne Soete; Yvan Saeys; Wesley De Neve (Int. J. Data Min. Bioinform., 2018)

On the application of reservoir computing networks for noisy image recognition. - Azarakhsh Jalalvand; Kris Demuynck; Wesley De Neve; Jean-Pierre Martens (Neurocomputing, 2018)

Hybrid e-TextBooks as comprehensive interactive learning environments. - Hajar Ghaem Sigarchian; Sara Logghe; Ruben Verborgh; Wesley De Neve; Frank Salliau; Erik Mannens; Rik Van de Walle; Dimitri Schuurman (Interact. Learn. Environ., 2018)

Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks. - Fréderic Godin; Jonas Degrave; Joni Dambre; Wesley De Neve (Pattern Recognit. Lett., 2018)

Indoor Person Identification Using a Low-Power FMCW Radar. - Baptist Vandersmissen; Nicolas Knudde; Azarakhsh Jalalvand; Ivo Couckuyt; André Bourdoux; Wesley De Neve; Tom Dhaene (IEEE Trans. Geosci. Remote. Sens., 2018)

Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. - Utku Ozbulak; Arnout Van Messem; Wesley De Neve (IJCNN, 2019)

Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. - Utku Ozbulak; Arnout Van Messem; Wesley De Neve (MICCAI (2), 2019)

Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams. - Ji Yeon Baek; Maria Krishna de Guzman; Ho-min Park; Sanghyeon Park; Boyeon Shin; Tanja Cirkovic Velickovic; Arnout Van Messem; Wesley De Neve (ICPR Workshops (6), 2020)

3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics. - Ho-min Park; Byungkon Kang; Arnout Van Messem; Wesley De Neve (ICPR Workshops (4), 2020)

Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning. - Taewoo Jung; Esla Timothy Anzaku; Utku Özbulak; Stefan Magez; Arnout Van Messem; Wesley De Neve (IHCI (2), 2020)

MRI-based Diagnosis of Rotator Cuff Tears using Deep Learning and Weighted Linear Combinations. - Mijung Kim; Ho-min Park; Jae Yoon Kim; Seong Hwan Kim 002; Sofie Hoeke; Wesley De Neve (MLHC, 2020)

Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability. - Utku Ozbulak; Jonathan Peck; Wesley De Neve; Bart Goossens; Yvan Saeys; Arnout Van Messem (CoRR, 2020)

Indoor human activity recognition using high-dimensional sensors and deep neural networks. - Baptist Vandersmissen; Nicolas Knudde; Azarakhsh Jalalvand; Ivo Couckuyt; Tom Dhaene; Wesley De Neve (Neural Comput. Appl., 2020)

Perturbation analysis of gradient-based adversarial attacks. - Utku Ozbulak; Manvel Gasparyan; Wesley De Neve; Arnout Van Messem (Pattern Recognit. Lett., 2020)

Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. - Utku Ozbulak; Esla Timothy Anzaku; Wesley De Neve; Arnout Van Messem (BMVC, 2021)

Exploring Multimodal Features and Fusion for Time-Continuous Prediction of Emotional Valence and Arousal. - Ajit Kumar 001; Bong Jun Choi 001; Sandeep Kumar Pandey; Sanghyeon Park; SeongIk Choi; Hanumant Singh Shekhawat; Wesley De Neve; Mukesh Saini; S. R. M. Prasanna; Dhananjay Singh 001 (ICHI, 2021)

Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis. - Hanul Kang; Ho-min Park; Yuju Ahn; Arnout Van Messem; Wesley De Neve (Image Perception, Observer Performance, and Technology Assessment, 2021)

ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity. - Xiaoyong Pan; Jasper Zuallaert; Xi Wang; Hong-Bin Shen; Elda Posada Campos; Denys O. Marushchak; Wesley De Neve (Bioinform., 2021)

Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. - Utku Ozbulak; Maura Pintor; Arnout Van Messem; Wesley De Neve (CoRR, 2021)

Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. - Utku Ozbulak; Baptist Vandersmissen; Azarakhsh Jalalvand; Ivo Couckuyt; Arnout Van Messem; Wesley De Neve (Comput. Vis. Image Underst., 2021)

Towards Multimodal Prediction of Time-continuous Emotion using Pose Feature Engineering and a Transformer Encoder. - Ho-min Park; Ilho Yun; Ajit Kumar 001; Ankit Kumar Singh; Bong Jun Choi 001; Dhananjay Singh 001; Wesley De Neve (MuSe @ ACM Multimedia, 2022)

Exact Feature Collisions in Neural Networks. - Utku Ozbulak; Manvel Gasparyan; Shodhan Rao; Wesley De Neve; Arnout Van Messem (CoRR, 2022)

A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets. - Esla Timothy Anzaku; Haohan Wang; Arnout Van Messem; Wesley De Neve (CoRR, 2022)

Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement. - Esla Timothy Anzaku; Hyesoo Hong; Jin-Woo Park; Wonjun Yang; Kangmin Kim; Jongbum Won; Deshika Vinoshani Kumari Herath; Arnout Van Messem; Wesley De Neve (IHCI (1), 2023)

Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos Using NeRFs. - Khoa Tuan Nguyen; Francesca Tozzi; Nikdokht Rashidian; Wouter Willaert; Joris Vankerschaver; Wesley De Neve (MLMI@MICCAI (1), 2023)

MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery. - Ho-min Park; Ganghyun Kim; Arnout Van Messem; Wesley De Neve (MuSe@ACM Multimedia, 2023)

Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. - Utku Ozbulak; Hyun Jung Lee; Beril Boga; Esla Timothy Anzaku; Ho-min Park; Arnout Van Messem; Wesley De Neve; Joris Vankerschaver (Trans. Mach. Learn. Res., 2023)

CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins. - Ho-min Park; Jongbum Won; Yunseol Park; Esla Timothy Anzaku; Joris Vankerschaver; Arnout Van Messem; Wesley De Neve; Hyunjin Shim (BMC Bioinform., 2023)

Grasshopper Optimization Algorithm (GOA): A Novel Algorithm or A Variant of PSO? - Negin Harandi; Arnout Van Messem; Wesley De Neve; Joris Vankerschaver (ANTS, 2024)

A Reference-Based Approach for Tumor Size Estimation in Monocular Laparoscopic Videos. - Seyed Amir Mousavi; Francesca Tozzi; Homin Park; Esla Timothy Anzaku; Matthias Van Liefferinge; Nikdokht Rashidian; Wouter Willaert; Wesley De Neve (CMMCA@MICCAI, 2024)

RAMM: A Residual Attention Multimodal Model for Humor Detection. - Ankit Kumar Singh; Ganghyun Kim; Jaeheon Kim; Ho-min Park; Bong Jun Choi 001; Wesley De Neve (IHCI (2), 2024)

Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? - Utku Ozbulak; Esla Timothy Anzaku; Solha Kang; Wesley De Neve; Joris Vankerschaver (IJCNN, 2024)

Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals. - Michaela Cohrs; Shiwoo Koak; Yejin Lee 015; Yu Jin Sung; Wesley De Neve; Hristo L. Svilenov; Utku Ozbulak (MOVI@MICCAI, 2024)

Exploring Patient Data Requirements in Training Effective AI Models for MRI-Based Breast Cancer Classification. - Solha Kang; Wesley De Neve; François Rameau; Utku Ozbulak (Deep-Breath@MICCAI, 2024)

Exploring Multimodal Approaches and Fusion Methods for CEO Social Attribute Prediction in 2024 MuSe-Perception. - Ankit Kumar Singh; Ganghyun Kim; Jaeheon Kim; Ho-min Park; Bong Jun Choi 001; Wesley De Neve (MuSe@ACM Multimedia, 2024)

Re-assessing ImageNet: How aligned is its single-label assumption with its multi-label nature? - Esla Timothy Anzaku; Seyed Amir Mousavi; Arnout Van Messem; Wesley De Neve (CoRR, 2024)

Assessing the reliability of point mutation as data augmentation for deep learning with genomic data. - Hyun Jung Lee; Utku Ozbulak; Homin Park; Stephen Depuydt; Wesley De Neve; Joris Vankerschaver (BMC Bioinform., 2024)

Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability. - Khoa Tuan Nguyen; Homin Park; Gaeun Oh; Joris Vankerschaver; Wesley De Neve (ISBI, 2025)

Balancing Redundancy and Diversity: An In-Depth Analysis of Active Learning for Laparoscopic Video Segmentation. - Seyed Amir Mousavi; Esla Timothy Anzaku; Utku Ozbulak; Robbe De Muynck; Francesca Tozzi; Nikdokht Rashidian; Wouter Willaert; Wesley De Neve (DEMI@MICCAI, 2025)

Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations. - Khoa Tuan Nguyen; Francesca Tozzi; Wouter Willaert; Joris Vankerschaver; Niki Rashidian; Wesley De Neve (MICCAI (2), 2025)

Revisiting the Evaluation Bias Introduced by Frame Sampling Strategies in Surgical Video Segmentation Using SAM2. - Utku Ozbulak; Seyed Amir Mousavi; Francesca Tozzi; Niki Rashidian; Wouter Willaert; Wesley De Neve; Joris Vankerschaver (FAIMI@MICCAI, 2025)

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-World Breast MRI Classification. - Jongbum Won; Wesley De Neve; Joris Vankerschaver; Utku Ozbulak (MICCAI (16), 2025)

Interpreting Stress Detection Models Using SHAP and Attention for MuSe-Stress 2022. - Ho-min Park; Ganghyun Kim; Jinsung Oh; Arnout Van Messem; Wesley De Neve (IEEE Trans. Affect. Comput., 2025)

Less is More? Revisiting the Importance of Frame Rate in Real-Time Zero-Shot Surgical Video Segmentation. - Utku Ozbulak; Seyed Amir Mousavi; Francesca Tozzi; Nikdokht Rashidian; Wouter Willaert; Wesley De Neve; Joris Vankerschaver (CoRR, 2025)

One Patient's Annotation is Another One's Initialization: Towards Zero-Shot Surgical Video Segmentation with Cross-Patient Initialization. - Seyed Amir Mousavi; Utku Ozbulak; Francesca Tozzi; Nikdokht Rashidian; Wouter Willaert; Joris Vankerschaver; Wesley De Neve (CoRR, 2025)

Re-assessing accuracy degradation: a framework for understanding DNN behavior on similar-but-non-identical test datasets. - Esla Timothy Anzaku; Haohan Wang; Ajiboye Babalola; Arnout Van Messem; Wesley De Neve (Mach. Learn., 2025)

Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations. - Khoa Tuan Nguyen; Francesca Tozzi; Wouter Willaert; Joris Vankerschaver; Nikdokht Rashidian; Wesley De Neve (CoRR, 2025)

Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation. - Khoa Tuan Nguyen; Gaeun Oh; Ho-min Park; Francesca Tozzi; Wouter Willaert; Joris Vankerschaver; Niki Rashidian; Wesley De Neve (CoRR, 2025)

Improved Sub-Visible Particle Classification in Flow Imaging Microscopy via Generative AI-Based Image Synthesis. - Utku Ozbulak; Michaela Cohrs; Hristo L. Svilenov; Joris Vankerschaver; Wesley De Neve (CoRR, 2025)

Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding. - Solha Kang; Esla Timothy Anzaku; Wesley De Neve; Arnout Van Messem; Joris Vankerschaver; François Rameau; Utku Ozbulak (CoRR, 2025)

When Tracking Fails: Analyzing Failure Modes of SAM2 for Point-Based Tracking in Surgical Videos. - Woowon Jang; Jiwon Im; Juseung Choi; Niki Rashidian; Wesley De Neve; Utku Ozbulak (CoRR, 2025)

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification. - Jong Bum Won; Wesley De Neve; Joris Vankerschaver; Utku Ozbulak (CoRR, 2025)