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2020 – today
- 2024
[j41]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): 170 (2024)- [c100]Negin Harandi, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver:
Grasshopper Optimization Algorithm (GOA): A Novel Algorithm or A Variant of PSO? ANTS 2024: 84-97 - [c99]Seyed Amir Mousavi, Francesca Tozzi, Homin Park, Esla Timothy Anzaku, Matthias Van Liefferinge, Nikdokht Rashidian, Wouter Willaert, Wesley De Neve:
A Reference-Based Approach for Tumor Size Estimation in Monocular Laparoscopic Videos. CMMCA@MICCAI 2024: 11-20 - [c98]Utku Ozbulak, Esla Timothy Anzaku, Solha Kang, Wesley De Neve, Joris Vankerschaver:
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? IJCNN 2024: 1-8 - [c97]Ankit Kumar Singh, Ganghyun Kim, Jaeheon Kim, Ho-min Park, Bong Jun Choi, Wesley De Neve:
Exploring Multimodal Approaches and Fusion Methods for CEO Social Attribute Prediction in 2024 MuSe-Perception. MuSe@ACM Multimedia 2024: 36-44 - [i18]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 abs/2401.17736 (2024) - 2023
- [j40]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): 167 (2023) - [j39]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) - [c96]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: 295-309 - [c95]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: 83-93 - [c94]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: 89-97 - [i17]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 abs/2305.13689 (2023) - [i16]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 abs/2310.11645 (2023) - 2022
- [c93]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: 47-54 - [i15]Utku Ozbulak, Manvel Gasparyan, Shodhan Rao, Wesley De Neve, Arnout Van Messem:
Exact Feature Collisions in Neural Networks. CoRR abs/2205.15763 (2022) - [i14]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 abs/2209.01848 (2022) - 2021
- [j38]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): 5159-5168 (2021) - [j37]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: 103111 (2021) - [c92]Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem:
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. BMVC 2021: 331 - [c91]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: 729-744 - [c90]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. Image Perception, Observer Performance, and Technology Assessment 2021 - [i13]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 abs/2101.10562 (2021) - [i12]Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem:
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. CoRR abs/2106.07141 (2021) - [i11]Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve:
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. CoRR abs/2111.11056 (2021) - 2020
- [j36]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): 12295-12309 (2020) - [j35]Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem:
Perturbation analysis of gradient-based adversarial attacks. Pattern Recognit. Lett. 135: 313-320 (2020) - [c89]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: 86-97 - [c88]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: 578-591 - [c87]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: 254-266 - [c86]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: 292-308 - [e2]Yong Man Ro, Wen-Huang Cheng, Junmo Kim, Wei-Ta Chu, Peng Cui, Jung-Woo Choi, Min-Chun Hu, Wesley De Neve:
MultiMedia Modeling - 26th International Conference, MMM 2020, Daejeon, South Korea, January 5-8, 2020, Proceedings, Part I. Lecture Notes in Computer Science 11961, Springer 2020, ISBN 978-3-030-37730-4 [contents] - [e1]Yong Man Ro, Wen-Huang Cheng, Junmo Kim, Wei-Ta Chu, Peng Cui, Jung-Woo Choi, Min-Chun Hu, Wesley De Neve:
MultiMedia Modeling - 26th International Conference, MMM 2020, Daejeon, South Korea, January 5-8, 2020, Proceedings, Part II. Lecture Notes in Computer Science 11962, Springer 2020, ISBN 978-3-030-37733-5 [contents] - [i10]Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem:
Perturbation Analysis of Gradient-based Adversarial Attacks. CoRR abs/2006.01456 (2020) - [i9]Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem:
Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability. CoRR abs/2007.03198 (2020)
2010 – 2019
- 2019
- [c85]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: 1-8 - [c84]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. MICCAI (2) 2019: 300-308 - [i8]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 abs/1907.12744 (2019) - [i7]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. CoRR abs/1907.13124 (2019) - 2018
- [j34]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): 425-433 (2018) - [j33]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): 4180-4188 (2018) - [j32]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): 267-284 (2018) - [j31]Azarakhsh Jalalvand, Kris Demuynck, Wesley De Neve, Jean-Pierre Martens:
On the application of reservoir computing networks for noisy image recognition. Neurocomputing 277: 237-248 (2018) - [j30]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): 486-505 (2018) - [j29]Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve:
Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks. Pattern Recognit. Lett. 116: 8-14 (2018) - [j28]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): 3941-3952 (2018) - [c83]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: 2357-2362 - [c82]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: 3275-3284 - [i6]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 abs/1808.09551 (2018) - [i5]Utku Ozbulak, Wesley De Neve, Arnout Van Messem:
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. CoRR abs/1811.08577 (2018) - [i4]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 abs/1812.02405 (2018) - 2017
- [j27]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): 1464-1472 (2017) - [j26]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) - [j25]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: 76-85 (2017) - [c81]Jasper Zuallaert, Mijung Kim, Yvan Saeys, Wesley De Neve:
Interpretable convolutional neural networks for effective translation initiation site prediction. BIBM 2017: 1233-1237 - [c80]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: 89-92 - [c79]Fréderic Godin, Joni Dambre, Wesley De Neve:
Improving Language Modeling using Densely Connected Recurrent Neural Networks. Rep4NLP@ACL 2017: 186-190 - [i3]Fréderic Godin, Joni Dambre, Wesley De Neve:
Improving Language Modeling using Densely Connected Recurrent Neural Networks. CoRR abs/1707.06130 (2017) - [i2]Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve:
DReLUs: Dual Rectified Linear Units. CoRR abs/1707.08214 (2017) - [i1]Jasper Zuallaert, Mijung Kim, Yvan Saeys, Wesley De Neve:
Interpretable Convolutional Neural Networks for Effective Translation Initiation Site Prediction. CoRR abs/1711.09558 (2017) - 2016
- [j24]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): 14019-14038 (2016) - [c78]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: 625 - [c77]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: 69-84 - [c76]Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle, Jean-Pierre Martens:
Towards using Reservoir Computing Networks for noise-robust image recognition. IJCNN 2016: 1666-1672 - [c75]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: 409-412 - [c74]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: 254-257 - 2015
- [c73]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: 146-153 - [c72]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: 37-46 - [c71]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 - [c70]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: 1-6 - [c69]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: 105-116 - [c68]Viktor Slavkovikj, Steven Verstockt, Wesley De Neve, Sofie Van Hoecke, Rik Van de Walle:
Hyperspectral Image Classification with Convolutional Neural Networks. ACM Multimedia 2015: 1159-1162 - 2014
- [j23]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): 259-268 (2014) - [j22]Sihyoung Lee, Wesley De Neve, Yong Man Ro:
Visually weighted neighbor voting for image tag relevance learning. Multim. Tools Appl. 72(2): 1363-1386 (2014) - [c67]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: 9-11 - [c66]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: 218-221 - [c65]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: 1360-1363 - [c64]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: 362-368 - [c63]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: 1-6 - [c62]Viktor Slavkovikj, Steven Verstockt, Wesley De Neve, Sofie Van Hoecke, Rik Van de Walle:
Image-Based Road Type Classification. ICPR 2014: 2359-2364 - [c61]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 - [c60]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 - [c59]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 - [c58]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: 1-11 - 2013
- [c57]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: 1-6 - [c56]Hyun-seok Min, Wesley De Neve, Yong Man Ro:
Sparse Representation-Based Human Action Recognition Using an Action Region-Aware Dictionary. ISM 2013: 133-139 - [c55]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: 452-462 - [c54]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 - [c53]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 - [c52]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: 329-332 - [c51]Fréderic Godin, Pedro Debevere, Erik Mannens, Wesley De Neve, Rik Van de Walle:
Leveraging Existing Tools for Named Entity Recognition in Microposts. #MSM 2013: 36-39 - [c50]Fréderic Godin, Viktor Slavkovikj, Wesley De Neve, Benjamin Schrauwen, Rik Van de Walle:
Using topic models for Twitter hashtag recommendation. WWW (Companion Volume) 2013: 593-596 - [c49]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: 871-874 - 2012
- [j21]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): 1174-1187 (2012) - [c48]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: 562-567 - [c47]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 - [c46]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: 3-8 - [c45]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: 1013-1016 - [c44]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: 33-34 - 2011
- [j20]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): 612-627 (2011) - [j19]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): 96-100 (2011) - [j18]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): 170-177 (2011) - [j17]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): 14-28 (2011) - [c43]Wonyong Eom, Sihyoung Lee, Wesley De Neve, Yong Man Ro:
Improving image tag recommendation using favorite image context. ICIP 2011: 2445-2448 - [c42]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: 3621-3624 - [c41]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: 1-6 - [c40]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: 453-467 - 2010
- [j16]