Estimating OD matrices at intersections in airborne video - A pilot study. - Viktor Braut; Mateja Culjak; Vedran Vukotic; Sinisa Segvic; Marko Sevrovic; Hrvoje Gold (MIPRO, 2012)

Is it time to Switch to word embedding and recurrent neural networks for spoken language understanding? - Vedran Vukotic; Christian Raymond; Guillaume Gravier (INTERSPEECH, 2015)

A Step Beyond Local Observations with a Dialog Aware Bidirectional GRU Network for Spoken Language Understanding. - Vedran Vukotic; Christian Raymond; Guillaume Gravier (INTERSPEECH, 2016)

Bidirectional Joint Representation Learning with Symmetrical Deep Neural Networks for Multimodal and Crossmodal Applications. - Vedran Vukotic; Christian Raymond; Guillaume Gravier (ICMR, 2016)

Multimodal and Crossmodal Representation Learning from Textual and Visual Features with Bidirectional Deep Neural Networks for Video Hyperlinking. - Vedran Vukotic; Christian Raymond; Guillaume Gravier (iV&L-MM@MM, 2016)

IRISA at TrecVid2016: Crossmodality, Multimodality and Monomodality for Video Hyperlinking. - Rémi Bois; Vedran Vukotic; Ronan Sicre; Christian Raymond; Pascale Sébillot; Guillaume Gravier (TRECVID, 2016)

One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. - Vedran Vukotic; Silvia-Laura Pintea; Christian Raymond; Guillaume Gravier; Jan C. van Gemert (ICIAP (1), 2017)

Label-Dependency Coding in Simple Recurrent Networks for Spoken Language Understanding. - Marco Dinarelli; Vedran Vukotic; Christian Raymond (INTERSPEECH, 2017)

Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking. - Vedran Vukotic; Christian Raymond; Guillaume Gravier (ICMR, 2017)

Exploiting Multimodality in Video Hyperlinking to Improve Target Diversity. - Rémi Bois; Vedran Vukotic; Anca-Roxana Simon; Ronan Sicre; Christian Raymond; Pascale Sébillot; Guillaume Gravier (MMM (2), 2017)

Deep neural architectures for automatic representation learning from multimedia multimodal data. (Architectures neuronales profondes pour l'apprentissage de représentations multimodales de données multimédias). - Vedran Vukotic (2017)

Are Deep Neural Networks good for blind image watermarking? - Vedran Vukotic; Vivien Chappelier; Teddy Furon (WIFS, 2018)

A Crossmodal Approach to Multimodal Fusion in Video Hyperlinking. - Vedran Vukotic; Christian Raymond; Guillaume Gravier (IEEE Multim., 2018)

Mining Polysemous Triplets with Recurrent Neural Networks for Spoken Language Understanding. - Vedran Vukotic; Christian Raymond (INTERSPEECH, 2019)

Are Classification Deep Neural Networks Good for Blind Image Watermarking? - Vedran Vukotic; Vivien Chappelier; Teddy Furon (Entropy, 2020)