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Journal Publications

2020

M. Oveneke, Y. Zhao, D. Jiang and H. Sahli, “Monocular 3D Facial Expression Features for Continuous Affect Recognition,” IEEE Transactions on Multimedia, vol. 8, pp. 151740-151752, 2020.

A. Díaz Berenguer, M. Perez Gonzalez, M. Oveneke and H. Sahli, “Context-aware human trajectories prediction via latent variational model,” IEEE Transactions on Circuits and Systems for Video Technology, vol. Early Access, Aug. 2020.

2019

M. Oveneke, Y. Zhao, A. Diáz Berenguer, D. Jiang and H. Sahli, “Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions,” IEEE Transactions on Affective Computing, pp. 14, 2019.

A. Díaz Berenguer, M. Oveneke, H. Khalid, M. Perez Gonzalez, A. Bourdoux and H. Sahli, “GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition,” IEEE Access, vol. 7, pp. 137122-137135, Sep. 2019.

M. Perez Gonzalez, M. Oveneke and H. Sahli, “SVRG-MKL: a Fast and Scalable Multiple Kernel Learning Solution for Features Combination in Multi-Class Classification Problems,” IEEE Transactions on Neural Networks and Learning Systems, 2019.

Y. Zhao, M. Oveneke, D. Jiang and H. Sahli, “A video prediction approach for animating single face image,” Multimedia Tools and Applications, vol. 78, no. 12, pp. 16389–16410, Jun. 2019.

2018

M. Oveneke, I. Gonzalez, V. Enescu, D. Jiang and H. Sahli, “Leveraging the Bayesian Filtering Paradigm for Vision-Based Facial Affective State Estimation,” IEEE Transactions on Affective Computing, vol. 9, no. 4, pp. 463-477, Oct. 2018.

D. Torres Boza, M. Oveneke, F. Wang, D. Jiang and H. Sahli, “Hierarchical sparse coding framework for speech emotion recognition,” Speech Communication, vol. 99, pp. 80-89, May. 2018.

Conference Publications

2020

M. Perez Gonzalez, A. Díaz Berenguer, M. Oveneke and H. Sahli, “Neural Architecture Search under black-box objectives with deep reinforcement learning and increasingly-sparse rewards,” in International Conference on Artificial Intelligence in Information and Communication, IEEE, Feb. 2020.

2019

A. Díaz Berenguer, M. Oveneke, M. Perez Gonzalez and H. Sahli, “Paired supervised learning and unsupervised pretraining of CNN-architecture for violence detection in videos,” in BNAIC 2019, CEUR Workshop Proceedings, Nov. 2019.

M. Perez Gonzalez, M. Oveneke, A. Díaz Berenguer, C. BERTRAND and H. Sahli, “End-to-end Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries,” in Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn2019), CEUR Workshop Proceedings, Nov. 2019.

2018

L. Yang, Y. Li, H. Chen, D. Jiang, M. Oveneke and H. Sahli, “Bipolar Disorder Recognition with Histogram Features of Arousal and Body Gestures,” in AVEC 2018 - Proceedings of the 2018 Audio/Visual Emotion Challenge and Workshop, co-located with MM 2018, New York, NY, USA: ACM, Oct. 2018, pp. 7.

2017

K. Parashar, M. Oveneke, M. Rykunov, H. Sahli and A. Bourdoux, “Micro-Doppler feature extraction using convolutional auto-encoders for low latency target classification,” in 2017 IEEE Radar Conference (RadarConf), IEEE, 2017, pp. 6.

L. Yang, H. Sahli, X. Xia, M. Oveneke and D. Jiang, “Hybrid Depression Classification and Estimation from Audio Video and Text Information,” in Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge (AVEC ཌྷ), New York, NY, USA: ACM, 2017, pp. 8.

L. Yang, D. Jiang, X. Xia, M. Oveneke and H. Sahli, “Multimodal Measurement of Depression Using Deep Learning Models,” in Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge (AVEC ཌྷ), New York, NY, USA: ACM, 2017, pp. 7.

2016

L. Yang, D. Jiang, L. He, E. Pei, M. Oveneke and H. Sahli, “Decision Tree Based Depression Classification from Audio Video and Language Information,” in Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge (AVEC ཌ), New York, NY, USA: ACM, Oct. 2016, pp. 8.

M. Perez Gonzalez, M. Oveneke, D. Jiang and H. Sahli, “Multiple Kernel Learning via Multi-Epochs SVRG,” in 9th NIPS Workshop on Optimization for Machine Learning, Dec. 2016, pp. 5.

2015

M. Oveneke, I. Gonzalez, W. Wang, D. Jiang and H. Sahli, “Monocular 3D Facial Information Retrieval for Automated Facial Expression Analysis,” in Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on, Xi'an, China: IEEE, 2015.

I. Gonzalez, M. Oveneke, D. Jiang, W. Verhelst and H. Sahli, “Framework for Combination Aware AU Intensity Recognition,” in IEEE 6th International Conference on Affective Computing and Intelligent Interaction, 2015, pp. 608.

2013

S. Yilmazyildiz, G. Athanasopoulos, G. Patsis, W. Wang, M. Oveneke, L. Latacz, W. Verhelst, H. Sahli, D. Henderickx, B. Vanderborght, E. Soetens and D. Lefeber, “Voice Modification for Wizard-of-Oz Experiments in Robot-Child Interaction,” in Workshop on Affective Social Speech Signals, Grenoble, Aug. 2013.

2012

M. Oveneke, V. Enescu and H. Sahli, “Real-Time Dance Pattern Recognition Invariant to Anthropometric and Temporal Differences,” in the 14th international conference on Advanced Concepts for Intelligent Vision Systems, Springer Verlag, Sep. 2012, pp. 13.

G. Athanasopoulos, W. Wang, F. Wang, S. Yilmazyildiz, M. Oveneke, V. Enescu, H. Sahli and W. Verhelst, “Towards Autonomous Child-Robot Interaction,” in 5th International Workshop on Human-Friendly Robotics (HFR 2012), Oct. 2012, pp. 1.

Other Publications

2016

M. Oveneke, M. Perez Gonzalez, Y. Zhao, D. Jiang and H. Sahli, “Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization,”, 2016.