Emmanuel Dellandréa

Associate Professor in Computer Science

Publications

International journals:

Matthieu Grard, Emmanuel Dellandréa, Liming Chen, "Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image", International Journal of Computer Vision, vol. 128(5), pp. 1331-1359, 2020.

Yuxing Tang, Josiah Wang, Xiaofang Wang, Boyang Gao, Emmanuel Dellandréa, Robert Gaizauskas, Liming Chen, "Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40(12), pp. 3045-3058, 2018.

Ying Lu, Liming Chen, Alexandre Saidi, Emmanuel Dellandréa, Yunhong Wang, "Discriminative Transfer Learning Using Similarities and Dissimilarities", IEEE Transactions on Neural Networks and Learning Systems, vol. 29(7), pp. 3097-3110, 2018.

Yoann Baveye, Christel Chamaret, Emmanuel Dellandréa, Liming Chen, "Affective Video Content Analysis: A Multidisciplinary Insight", IEEE Transactions on Affective Computing, vol. 9(4), pp. 396-409, 2018.

Yuxing Tang, Xiaofang Wang, Emmanuel Dellandréa, Liming Chen, "Weakly Supervised Learning of Deformable Part-Based Models for Object Detection via Region Proposals", IEEE Transactions on Multimedia, vol. 19(2), pp. 393-407, 2017.

Xi Zhao, Jianhua Zou, Huibin Li, Emmanuel Dellandréa, Ioannis A. Kakadiaris, Liming Chen, "Automatic 2.5-D Facial Landmarking and Emotion Annotation for Social Interaction Assistance", IEEE Transactions on Cybernetics, vol. 46(9), pp. 2042-2055, 2016.

Yoann Baveye, Emmanuel Dellandréa, Christel Chamaret, Liming Chen, "LIRIS-ACCEDE: A Video Database for Affective Content Analysis", IEEE Transactions on Affective Computing, vol. 6(1), pp. 43-55, 2015.

Xi Zhao, Emmanuel Dellandréa, Jianhua Zou, Liming Chen, "A unified probabilistic framework for automatic 3D facial expression analysis based on a Bayesian belief inference and statistical feature models", Image and Vision Computing, vol. 31(2), pp. 231-245, 2013.

Ningning Liu, Emmanuel Dellandréa, Liming Chen, Chao Zhu, Yu Zhang, Charles-Edmond Bichot, Stéphane Bres, Bruno Tellez, "Multimodal recognition of visual concepts using histograms of textual concepts and selective weighted late fusion scheme", Computer Vision and Image Understanding, vol. 117(5), pp. 493-512, 2013.

Book chapters:

Ningning Liu, Emmanuel Dellandréa, Bruno Tellez, Liming Chen, "A Selective Weighted Late Fusion for Visual Concept Recognition", Fusion in Computer Vision - Understanding Complex Visual Content, Springer International Publishing, pp. 1-28, 2014.

International conferences and workshops:

Quentin Gallouedec, Emmanuel Dellandréa, "Cell-Free Latent Go-Explore", International Conference on Machine Learning (ICML), 2023.

Guillaume Duret, Nicolas Cazin, Mahmoud Ali, Florence Zara, Emmanuel Dellandréa, Jan Peters, Liming Chen, "PickSim: A dynamically configurable Gazebo pipeline for robotic manipulation", ICRA 2023 Workshop on Advancing Robot Manipulation Through Open-Source Ecosystems, 2023.

Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen, "Learning Less Generalizable Patterns for Better Test-Time Adaptation", International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2023.

Rui Yang, Matthieu Grard, Emmanuel Dellandréa, Liming Chen, "When Continual Learning Meets Robotic Grasp Detection: A Novel Benchmark on the Jacquard Dataset", International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2023.

Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen, "Look Beyond Bias with Entropic Adversarial Data Augmentation", International Conference on Pattern Recognition (ICPR), 2022.

Quentin Gallouédec, Nicolas Cazin, Emmanuel Dellandrea, Liming Chen, "panda-gym : Open-source goal-conditioned environments for robotic learning", NeurIPS 2021 Workshop on Robot Learning: Self-Supervised and Lifelong Learning, 2021.

Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Henaff and Liming Chen, "Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization", International Conference on Computer Vision Workshops (ICCVW), AROW2021, 2021.

Amaury Depierre, Emmanuel Dellandréa, Liming Chen, "Scoring Graspability based on Grasp Regression for Better Grasp Prediction", IEEE International Conference on Robotics and Automation (ICRA), 2021.

Maxime Petit, Emmanuel Dellandréa, Liming Chen, "Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction", IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2020.

Amaury Depierre, Emmanuel Dellandréa, Liming Chen, "Jacquard: A Large Scale Dataset for Robotic Grasp Detection", IEEE International Conference on Intelligent Robots and Systems (IROS), 2018.

Maxime Petit, Amaury Depierre, Xiaofang Wang, Emmanuel Dellandréa, Liming Chen, "Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning", IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2018.

Mattieu Grard, Romain Brégier, Florian Sella, Emmanuel Dellandréa, Liming Chen, "Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network", International Workshop on Human-Friendly Robotics (HFR 2017), 2017.

Yuxing Tang, Josiah Wang, Boyang Gao, Emmanuel Dellandréa, Robert J. Gaizauskas, Liming Chen, "Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2119-2128, Las Vegas, NV, USA, June 27-30, 2016.

Yoann Baveye, Emmanuel Dellandréa, Christel Chamaret, Liming Chen, "Deep learning vs. kernel methods: Performance for emotion prediction in videos", International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 77-83, Xi'an, China, September 21-24, 2015.

Arnau Ramisa, Josiah Wang, Ying Lu, Emmanuel Dellandréa, Francesc Moreno-Noguer, Robert Gaizauskas, "Combining Geometric, Textual and Visual Features for Predicting Prepositions in Image Descriptions", Conference on Empirical Methods in Natural Language Processing, pp. 214-220, Lisbon, Portugal, 2015.

Ting Li, Yoann Baveye, Christel Chamaret, Emmanuel Dellandréa, Liming Chen}, "Continuous Arousal Self-assessments Validation Using Real-time Physiological Responses", Workshop on Affect and Sentiment in Multimedia, ACM Multimedia, pp. 39-44, Brisbane, Australia, October 30, 2015.

Yuxing Tang, Xiaofang Wang, Emmanuel Dellandréa, Simon Masnou, Liming Chen, "Fusing generic objectness and deformable part-based models for weakly supervised object detection", IEEE International Conference on Image Processing (ICIP), pp. 4072-4076, Paris, France, October 27-30, 2014.

Yoann Baveye, Emmanuel Dellandréa, Christel Chamaret, Liming Chen, "From crowdsourced rankings to affective ratings", International Conference on Multimedia and Expo Workshops, pp. 1-6, Chengdu, China, July 14-18, 2014.

Yoann Baveye, Christel Chamaret, Emmanuel Dellandréa, Liming Chen, "A Protocol for Cross-Validating Large Crowdsourced Data: The Case of the LIRIS-ACCEDE Affective Video Dataset", Workshop on Crowdsourcing for Multimedia (CrowdMM), ACM Multimedia, pp. 3-8, Orlando, Florida, USA, November 7, 2014.

Yoann Baveye, Jean-Noel Bettinelli, Emmanuel Dellandréa, Liming Chen, Christel Chamaret, "A Large Video Data Base for Computational Models of Induced Emotion",International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 13-18, Geneva, Switzerland, September 2-5, 2013.

Boyang Gao, Emmanuel Dellandréa, Liming Chen, "Sparse Music Decomposition onto a MIDI Dictionary Driven by Statistical Music Knowledge", International Society for Music Information Retrieval Conference (ISMIR), pp. 445-450, Curitiba, Brazil, November 4-8, 2013.

Habilitation to Drive Research (HDR)

Contributions à la compréhension automatique de données visuelles. [Manuscript][slides]

Other publications:

Emmanuel Dellandréa, Martijn Huigsloot, Liming Chen, Yoann Baveye, Zonghzhe Xiao and Mats Sjöberg, "Predicting the Emotional Impact of Movies", ACM SIGMM Records, Issue 4, 2018.

Emmanuel Dellandréa, Martijn Huigsloot, Liming Chen, Yoann Baveye, Zhongzhe Xiao, Mats Sjöberg, "The MediaEval 2018 Emotional Impact of Movies Task", Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia Antipolis, France, October 29-31, 2018.

Emmanuel Dellandréa, Martijn Huigsloot, Liming Chen, Yoann Baveye, Mats Sjöberg, "The MediaEval 2017 Emotional Impact of Movies Task", Working Notes Proceedings of the MediaEval 2017 Workshop, Dublin, Ireland, September 13-15, 2017.

Emmanuel Dellandréa, Liming Chen, Yoann Baveye, Mats Sjöberg, Christel Chamaret, "The MediaEval 2016 Emotional Impact of Movies Task", Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, The Netherlands, October 20-21, 2016.

Mats Sjöberg, Yoann Baveye, Hanli Wang, Vu Lam Quang, Bogdan Ionescu, Emmanuel Dellandréa, Markus Schedl, Claire-Hélène Demarty, Liming Chen, "The MediaEval 2015 Affective Impact of Movies Task", Working Notes Proceedings of the MediaEval 2015 Workshop, Wurzen, Germany, September 14-15, 2015.

Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Emmanuel Dellandréa, Robert Gaizauskas, Villegas Mauricio, Krystian Mikolajczyk, "Overview of the ImageCLEF 2015 Scalable Image Annotation, Localization and Sentence Generation task", ImageCLEF, CLEF2015 Working Notes, Toulouse, France, 2015.


Publications prior to 2013 are available on the LIRIS website.