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Books and Theses
- 2017
[b1]Vedran Vukotic:
Deep neural architectures for automatic representation learning from multimedia multimodal data. (Architectures neuronales profondes pour l'apprentissage de représentations multimodales de données multimédias). INSA Rennes, France, 2017
Journal Articles
- 2020
- [j2]Vedran Vukotic, Vivien Chappelier, Teddy Furon
:
Are Classification Deep Neural Networks Good for Blind Image Watermarking? Entropy 22(2): 198 (2020) - 2018
- [j1]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
A Crossmodal Approach to Multimodal Fusion in Video Hyperlinking. IEEE Multim. 25(2): 11-23 (2018)
Conference and Workshop Papers
- 2019
- [c12]Vedran Vukotic, Christian Raymond:
Mining Polysemous Triplets with Recurrent Neural Networks for Spoken Language Understanding. INTERSPEECH 2019: 1178-1182 - 2018
- [c11]Vedran Vukotic, Vivien Chappelier, Teddy Furon:
Are Deep Neural Networks good for blind image watermarking? WIFS 2018: 1-7 - 2017
- [c10]Vedran Vukotic, Silvia-Laura Pintea, Christian Raymond, Guillaume Gravier, Jan C. van Gemert:
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. ICIAP (1) 2017: 140-151 - [c9]Marco Dinarelli, Vedran Vukotic, Christian Raymond:
Label-Dependency Coding in Simple Recurrent Networks for Spoken Language Understanding. INTERSPEECH 2017: 2491-2495 - [c8]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking. ICMR 2017: 416-419 - [c7]Rémi Bois, Vedran Vukotic, Anca-Roxana Simon, Ronan Sicre, Christian Raymond, Pascale Sébillot, Guillaume Gravier:
Exploiting Multimodality in Video Hyperlinking to Improve Target Diversity. MMM (2) 2017: 185-197 - 2016
- [c6]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
A Step Beyond Local Observations with a Dialog Aware Bidirectional GRU Network for Spoken Language Understanding. INTERSPEECH 2016: 3241-3244 - [c5]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
Bidirectional Joint Representation Learning with Symmetrical Deep Neural Networks for Multimodal and Crossmodal Applications. ICMR 2016: 343-346 - [c4]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
Multimodal and Crossmodal Representation Learning from Textual and Visual Features with Bidirectional Deep Neural Networks for Video Hyperlinking. iV&L-MM@MM 2016: 37-44 - [c3]Rémi Bois, Vedran Vukotic, Ronan Sicre, Christian Raymond, Pascale Sébillot, Guillaume Gravier:
IRISA at TrecVid2016: Crossmodality, Multimodality and Monomodality for Video Hyperlinking. TRECVID 2016 - 2015
- [c2]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
Is it time to Switch to word embedding and recurrent neural networks for spoken language understanding? INTERSPEECH 2015: 130-134 - 2012
- [c1]Viktor Braut, Mateja Culjak, Vedran Vukotic, Sinisa Segvic, Marko Sevrovic, Hrvoje Gold:
Estimating OD matrices at intersections in airborne video - A pilot study. MIPRO 2012: 977-982
Informal and Other Publications
- 2017
- [i2]Vedran Vukotic, Silvia-Laura Pintea, Christian Raymond, Guillaume Gravier, Jan C. van Gemert:
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. CoRR abs/1702.04125 (2017) - [i1]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking. CoRR abs/1705.05103 (2017)
Coauthor Index
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