| 2025 | ICASSP | Adapting Without Seeing: Text-Aided Domain Adaptation for Adapting CLIP-like Models to Novel Domains. | Louis Hmadou, Hlne Vorobieva, Ewa Kijak, Frdric Jurie |
| 2025 | WACV | Reframing Image Difference Captioning with BLIP2IDC and Synthetic Augmentation. | Gautier Evennou, Antoine Chaffin, Vivien Chappelier, Ewa Kijak |
| 2024 | ICIP | Distinctive Image Captioning: Leveraging Ground Truth Captions in Clip Guided Reinforcement Learning. | Antoine Chaffin, Ewa Kijak, Vincent Claveau |
| 2023 | CIARP | Graph-Based Feature Learning from Image Markers. | Isabela Borlido Barcelos, Leonardo de Melo Joao, Zenilton Kleber G. do Patrocnio Jr., Ewa Kijak, Alexandre X. Falco, Silvio Jamil Ferzoli Guimares |
| 2022 | CVPR | AlignMixup: Improving Representations By Interpolating Aligned Features. | Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis |
| 2022 | ICLR | It Takes Two to Tango: Mixup for Deep Metric Learning. | Shashanka Venkataramanan, Bill Psomas, Ewa Kijak, Laurent Amsaleg, Konstantinos Karantzalos, Yannis Avrithis |
| 2022 | ICML | Generative Cooperative Networks for Natural Language Generation. | Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski |
| 2022 | LREC | Generating Artificial Texts as Substitution or Complement of Training Data. | Vincent Claveau, Antoine Chaffin, Ewa Kijak |
| 2022 | NAACL | PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding. | Antoine Chaffin, Vincent Claveau, Ewa Kijak |
| 2022 | SIGIR | Which Discriminator for Cooperative Text Generation? | Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau |
| 2022 | SiggraphA | AIP: Adversarial Interaction Priors for Multi-Agent Physics-based Character Control. | Mohamed Younes, Ewa Kijak, Simon Malinowski, Richard Kulpa, Franck Multon |
| 2021 | WACV | Detecting Human-Object Interaction with Mixed Supervision. | Suresh Kirthi Kumaraswamy, Miaojing Shi, Ewa Kijak |
| 2019 | IJCNN | Combining convolutional side-outputs for road image segmentation. | Felipe A. L. Reis, Raquel Almeida, Ewa Kijak, Simon Malinowski, Silvio Jamil Ferzoli Guimares, Zenilton K. G. do Patrocnio |
| 2018 | CBMI | Active Learning to Assist Annotation of Aerial Images in Environmental Surveys. | Mathieu Laroze, Romain Dambreville, Chlo Friguet, Ewa Kijak, Sbastien Lefvre |
| 2018 | ICIP | Context-Aware Forgery Localization in Social-Media Images: A Feature-Based Approach Evaluation. | Cdric Maigrot, Ewa Kijak, Vincent Claveau |
| 2017 | CICLING | Strategies to Select Examples for Active Learning with Conditional Random Fields. | Vincent Claveau, Ewa Kijak |
| 2017 | CVPR | Unsupervised Part Learning for Visual Recognition. | Ronan Sicre, Yannis Avrithis, Ewa Kijak, Frdric Jurie |
| 2017 | ICIAP | Tampering Detection and Localization in Images from Social Networks: A CBIR Approach. | Cdric Maigrot, Ewa Kijak, Ronan Sicre, Vincent Claveau |
| 2016 | COLING | Direct vs. indirect evaluation of distributional thesauri. | Vincent Claveau, Ewa Kijak |
| 2016 | LREC | Distributional Thesauri for Information Retrieval and vice versa. | Vincent Claveau, Ewa Kijak |
| 2015 | BMVC | Beyond MSER: Maximally Stable Regions using Tree of Shapes. | Petra Bosilj, Ewa Kijak, Sbastien Lefvre |
| 2015 | CBMI | Learning to hash faces using large feature vectors. | Cassio E. dos Santos, Ewa Kijak, Guillaume Gravier, William Robson Schwartz |
| 2015 | ICIP | Short local descriptors from 2D connected pattern spectra. | Petra Bosilj, Ewa Kijak, Michael H. F. Wilkinson, Sbastien Lefvre |
| 2015 | ISMM | Local 2D Pattern Spectra as Connected Region Descriptors. | Petra Bosilj, Michael H. F. Wilkinson, Ewa Kijak, Sbastien Lefvre |
| 2014 | COLING | Improving distributional thesauri by exploring the graph of neighbors. | Vincent Claveau, Ewa Kijak, Olivier Ferret |
| 2014 | LREC | Generating and using probabilistic morphological resources for the biomedical domain. | Vincent Claveau, Ewa Kijak |
| 2013 | ICIAP | Hierarchical Image Representation Simplification Driven by Region Complexity. | Petra Bosilj, Sbastien Lefvre, Ewa Kijak |
| 2012 | ICASSP | Face recognition using Co-occurrence Histograms of Oriented Gradients. | Thanh-Toan Do, Ewa Kijak |
| 2012 | ICASSP | Enlarging hacker's toolbox: Deluding image recognition by attacking keypoint orientations. | Thanh-Toan Do, Ewa Kijak, Laurent Amsaleg, Teddy Furon |
| 2011 | ICASSP | Image compression using the Iteration-Tuned and Aligned Dictionary. | Joaquin Zepeda, Christine Guillemot, Ewa Kijak |
| 2011 | RANLP | Morphological Analysis of Biomedical Terminology with Analogy-Based Alignment. | Vincent Claveau, Ewa Kijak |
| 2010 | ICASSP | Approximate nearest neighbors using sparse representations. | Joaquin Zepeda, Ewa Kijak, Christine Guillemot |
| 2010 | MMSP | Challenging the security of Content-Based Image Retrieval systems. | Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg |
| 2010 | MMSP | The Iteration-Tuned Dictionary for sparse representations. | Joaquin Zepeda, Christine Guillemot, Ewa Kijak |
| 2009 | CBMI | Special Session: Scalable Video Indexing. | Ewa Kijak, Jenny Benois-Pineau |
| 2009 | MMSP | SIFT-based local image description using sparse representations. | Joaquin Zepeda, Ewa Kijak, Christine Guillemot |
| 2007 | CBMI | The Argos Campaign: Evaluation of Video Analysis Tools. | Philippe Joly, Jenny Benois-Pineau, Ewa Kijak, Georges Qunot |
| 2006 | ICANN | Using Self-Organizing Maps to Support Video Navigation. | Thomas Brecke, Ewa Kijak, Andreas Nrnberger, Marcin Detyniecki |
| 2003 | ICIP | Hierarchical structure analysis of sport videos using HMMS. | Ewa Kijak, Lionel Oisel, Patrick Gros |