| Flexible macroblock ordering in H.264/AVC P Lambert, W De Neve, Y Dhondt, R Van de Walle Journal of Visual Communication and Image Representation 17 (2), 358-375, 2006 | 202 | 2006 |
| Using topic models for twitter hashtag recommendation F Godin, V Slavkovikj, W De Neve, B Schrauwen, R Van de Walle Proceedings of the 22nd international conference on world wide web, 593-596, 2013 | 191 | 2013 |
| Indoor person identification using a low-power FMCW radar B Vandersmissen, N Knudde, A Jalalvand, I Couckuyt, A Bourdoux, ... IEEE Transactions on Geoscience and Remote Sensing 56 (7), 3941-3952, 2018 | 156 | 2018 |
| Multimedia Lab@ ACL W-NUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations F Godin, B Vandersmissen, W De Neve, R Van de Walle ACL-IJCNLP 2015, 146, 2015 | 151 | 2015 |
| Collaborative face recognition for improved face annotation in personal photo collections shared on online social networks JY Choi, W De Neve, KN Plataniotis, YM Ro IEEE Transactions on Multimedia 13 (1), 14-28, 2010 | 143 | 2010 |
| Privacy protection in video surveillance systems: Analysis of subband-adaptive scrambling in JPEG XR H Sohn, W De Neve, YM Ro IEEE Transactions on Circuits and Systems for Video Technology 21 (2), 170-177, 2011 | 108 | 2011 |
| Hyperspectral image classification with convolutional neural networks V Slavkovikj, S Verstockt, W De Neve, S Van Hoecke, R Van de Walle Proceedings of the 23rd ACM international conference on Multimedia, 1159-1162, 2015 | 104 | 2015 |
| SpliceRover: Interpretable Convolutional NeuralNetworks for Improved Splice Site Prediction J Zuallaert, F Godin, M Kim, A Soete, Y Saeys, W De Neve Bioinformatics, 2018 | 74 | 2018 |
| Full-reference video quality metric for fully scalable and mobile SVC content H Sohn, H Yoo, W De Neve, CS Kim, YM Ro IEEE Transactions on Broadcasting 56 (3), 269-280, 2010 | 69 | 2010 |
| Restricted boltzmann machines for quantum states with non-abelian or anyonic symmetries T Vieijra, C Casert, J Nys, W De Neve, J Haegeman, J Ryckebusch, ... Physical review letters 124 (9), 097201, 2020 | 63 | 2020 |
| Rate-distortion performance of H.264/AVC compared to state-of-the-art video codecs P Lambert, W De Neve, P De Neve, I Moerman, P Demeester, ... Circuits and Systems for Video Technology, IEEE Transactions on 16 (1), 134-140, 2006 | 58 | 2006 |
| On the application of reservoir computing networks for noisy image recognition A Jalalvand, K Demuynck, W De Neve, JP Martens Neurocomputing 277, 237-248, 2018 | 50 | 2018 |
| Privacy protection in video surveillance systems using scalable video coding H Sohn, ET AnzaKu, W De Neve, YM Ro, KN Plataniotis 2009 Sixth IEEE international conference on advanced video and signal based …, 2009 | 46 | 2009 |
| Dual rectified linear units (DReLUs): A replacement for tanh activation functions in quasi-recurrent neural networks F Godin, J Degrave, J Dambre, W De Neve Pattern Recognition Letters 116, 8-14, 2018 | 45 | 2018 |
| Tag refinement in an image folksonomy using visual similarity and tag co-occurrence statistics S Lee, W De Neve, YM Ro Signal Processing: Image Communication, 2010 | 43 | 2010 |
| Visually weighted neighbor voting for image tag relevance learning S Lee, W De Neve, YM Ro Multimedia tools and applications 72, 1363-1386, 2014 | 42 | 2014 |
| Parallel deblocking filtering in MPEG-4 AVC/H.264 on massively parallel architectures B Pieters, CFJ Hollemeersch, J De Cock, P Lambert, W De Neve, ... Circuits and Systems for Video Technology, IEEE Transactions on 21 (1), 96-100, 2011 | 42 | 2011 |
| A compressed-domain approach for shot boundary detection on H.264/AVC bit streams S De Bruyne, D Van Deursen, J De Cock, W De Neve, P Lambert, ... Signal Processing: Image Communication 23 (7), 473-489, 2008 | 42 | 2008 |
| A real-time content adaptation framework for exploiting ROI scalability in H.264/AVC P Lambert, D De Schrijver, D Van Deursen, W De Neve, Y Dhondt, ... Advanced Concepts for Intelligent Vision Systems, 442-453, 2006 | 42 | 2006 |
| Impact of adversarial examples on deep learning models for biomedical image segmentation U Ozbulak, A Van Messem, W De Neve Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 39 | 2019 |
Rik Van de WalleGhent University - iMinds (former IBBT)Verified email at ugent.be
