2019
- Adaptive Density Estimation for Generative Models. Thomas Lucas, Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari, Jakob Verbeek. NeurIPS 2019 – Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada.
- Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image. Roman Klokov, Jakob Verbeek, Edmond Boyer. BMVC 2019 – British Machine Vision Conference, Sep 2019, Cardiff, United Kingdom.
- Adaptative Inference Cost With Convolutional Neural Mixture Models. Adrià Ruiz, Jakob Verbeek.
ICCV 2019 – International Conference on Computer Vision, Oct 2019, Seoul, South Korea. - Understanding Priors in Bayesian Neural Networks at the Unit Level. Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel. ICML 2019 – 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States.
- Learning Disentangled Representations with Reference-Based Variational Autoencoders.
Adrià Ruiz, Oriol Martinez, Xavier Binefa, Jakob Verbeek. ICLR workshop on Learning from Limited Labeled Data, May 2019, New Orleans, United States.
2018
- Sparse weakly supervised models for object localization in road environment. Valentina Zadrija, Josip Krapac, Siniša Šegvić, Jakob Verbeek. Computer Vision and Image Understanding, to appear.
- Coverage and quality driven training of generative image models. Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek. Preprint.
- Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization.
Xiaotian Li, Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala. ECCV 2018 – Workshop Geometry Meets Deep Learning, Sep 2018, Munich, Germany - Joint Future Semantic and Instance Segmentation Prediction. Camille Couprie, Pauline Luc, Jakob Verbeek. ECCV Workshop on Anticipating Human Behavior, 2018, Munich, Germany.
- Coupled Ensembles of Neural Networks, Anuvabh Dutt, Denis Pellerin, Georges Quénot. International Conference on Learning Representations (ICLR) – Workshop Track, May 2018, Vancouver, Canada.
- Pervasive Attention – 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. Maha Elbayad, Laurent Besacier, Jakob Verbeek. CoNLL 2018 – The SIGNLL Conference on Computational Natural Language Learning , Oct 2018, Brussels, Belgium.
- Mixed batches and symmetric discriminators for GAN training Thomas Lucas, Corentin Tallec, Jakob Verbeek, Yann Ollivier. ICML 2018 – International Conference on Machine Learning, July 2018, Stockholm, Sweden
- Token-level and sequence-level loss smoothing for RNN language models. Maha Elbayad, Laurent Besacier, Jakob Verbeek. ACL 2018 (long paper) – Annual Meeting of the Association for Computational Linguistics, July 2018, Melbourne, Australia.
- Unsupervised Word Segmentation from Speech with Attention. Pierre Godard, Marcely Zanon Boito, Lucas Ondel, Alexandre Berard, François Yvon, Aline Villavicencio, Laurent Besacier. Interspeech 2018, Sep 2018, Hyderabad, India.
- End-to-End Automatic Speech Translation of Audiobooks. Alexandre Bérard, Laurent Besacier, Ali Can Kocabiyikoglu, Olivier Pietquin. ICASSP 2018 – IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada.
- ASR Performance Prediction on Unseen Broadcast Programs using Convolutional Neural Networks. Zied Elloumi, Laurent Besacier, Olivier Galibert, Juliette Kahn, Benjamin Lecouteux. ICASSP 2018 – IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada.
- Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking Rosetta” JSALT 2017 Workshop. Odette Scharenborg, Laurent Besacier, et. al. ICASSP 2018 – IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada.
- FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis, Nitika Verma, Edmond Boyer, Jakob Verbeek. CVPR – IEEE Conference on Computer Vision & Pattern Recognition, June 2018, Salt Lake City, US.
- Frankenstein: Learning Deep Face Representations using Small Data, Guosheng Hu, Member, IEEE, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, and Jakob Verbeek. IEEE Transactions on Image Processing, 2018, 27 (1), pp. 293-303.
- Auxiliary Guided Autoregressive Variational Autoencoders, Thomas Lucas, Jakob Verbeek, European Conference on Machine Learning, 2018.
- Predicting Future Instance Segmentations by Forecasting Convolutional Features Pauline Luc, Camille Couprie, Yann Lecun, Jakob Verbeek. European Conference on Computer Vision, September 2018, Munich, Germany.
2017
- Unwritten Languages Demand Attention Too! Word Discovery with Encoder-Decoder Models. Marcely Zanon Boito, Alexandre Bérard, Aline Villavicencio, Laurent Besacier. IEEE Automatic Speech Recognition and Understanding (ASRU), Dec 2017, Okinawa, Japan.
- Coupled Ensembles of Neural Networks, Anuvabh Dutt, Denis Pellerin, Georges Quénot. Preprint, 2017.
- Improving Hierarchical Image Classification with Merged CNN Architectures, Anuvabh Dutt, Denis Pellerin, Georges Quénot. Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, June 2017, Firenze, Italy.
- Improving Image Classification Using Coarse and Fine Labels, Anuvabh Dutt, Denis Pellerin, Georges Quénot. Proceedings of the 2017 ACM International Conference on Multimedia Retrieval, June 2017, Bucharest, Romania.
- Position-based Content Attention for Time Series Forecasting with Sequence-to-sequence RNNs, Yagmur G. Cinar, Hamid Mirisaee, Parantapa Goswami, Eric Gaussier, Ali Ait-Bachir, Vadim Strijov. International Conference On Neural Information Processing, November 2017, Guangzhou, China.
- Predicting Deeper into the Future of Semantic Segmentation, Natalia Neverova, Pauline Luc, Camille Couprie, Jakob Verbeek, Yann LeCun. International Conference on Computer Vision, October 2017, Venice, Italy.
- Areas of Attention for Image Captioning, Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek. International Conference on Computer Vision, October 2017, Venice, Italy.
- LIG-CRIStAL System for the WMT17 Automatic Post-Editing Task, Alexandre Berard, Olivier Pietquin, Laurent Besacier. 2nd Conference on Machine Translation (WMT17), EMNLP 2017, Copenhagen, Denmark.
- Using Word Embedding for Cross-Language Plagiarism Detection, J. Ferrero, F. Agnes, L. Besacier, D. Schwab, European Chapter of the Association for Computational Linguistics, April 2017, Valencia, Spain.
2016
- Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation, Alexandre Berard, Olivier Pietquin, Christophe Servan, Laurent Besacier. NIPS Workshop on end-to-end learning for speech and audio processing, Dec 2016, Barcelona, Spain.
- Inducing Multilingual Text Analysis Tools Using Bidirectional Recurrent Neural Networks, Othman Zennaki, Nasredine Semmar, Laurent Besacier, COLING 2016, Dec 2016, Osaka, Japan
- Convolutional Neural Fabrics, Shreyas Saxena, Jakob Verbeek. Advances in Neural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain
- Semantic Segmentation using Adversarial Networks, Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek. NIPS Workshop on Adversarial Training, Dec 2016, Barcelona, Spain
- Heterogeneous Face Recognition with CNNs, Shreyas Saxena, Jakob Verbeek, ECCV TASK-CV 2016 Workshops, Oct 2016, Amsterdam, Netherlands