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2020 – today
- 2024
[i14]Antoine Chaffin, Ewa Kijak, Vincent Claveau:
Distinctive Image Captioning: Leveraging Ground Truth Captions in CLIP Guided Reinforcement Learning. CoRR abs/2402.13936 (2024)- [i13]Gautier Evennou, Vivien Chappelier, Ewa Kijak, Teddy Furon:
SWIFT: Semantic Watermarking for Image Forgery Thwarting. CoRR abs/2407.18995 (2024) - 2023
- [j14]Mathieu Chambe
, Ewa Kijak, Zoltán Miklós, Olivier Le Meur, Rémi Cozot, Kadi Bouatouch:
HDR-LFNet: Inverse tone mapping using fusion network. Comput. Graph. 114: 1-12 (2023) - [j13]Mohamed Younes, Ewa Kijak, Richard Kulpa, Simon Malinowski, Franck Multon:
MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters. Proc. ACM Comput. Graph. Interact. Tech. 6(3): 32:1-32:20 (2023) - [j12]Raquel Almeida, Ewa Kijak, Simon Malinowski, Zenilton Kleber G. do Patrocínio Jr., Arnaldo de Albuquerque Araújo, Silvio Jamil Ferzoli Guimarães:
Graph-based image gradients aggregated with random forests. Pattern Recognit. Lett. 166: 182-189 (2023) - [c63]Isabela Borlido Barcelos, Leonardo de Melo Joao, Zenilton Kleber G. do Patrocínio Jr., Ewa Kijak, Alexandre X. Falcão, Silvio Jamil Ferzoli Guimarães:
Graph-Based Feature Learning from Image Markers. CIARP 2023: 494-509 - [c62]Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis:
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples. NeurIPS 2023 - [i12]Leonardo de Melo Joao, Azael de Melo e Sousa, Bianca Martins dos Santos, Silvio Jamil Ferzoli Guimarães, Jancarlo Ferreira Gomes, Ewa Kijak, Alexandre Xavier Falcão:
A Flyweight CNN with Adaptive Decoder for Schistosoma mansoni Egg Detection. CoRR abs/2306.14840 (2023) - [i11]Mohamed Younes, Ewa Kijak, Richard Kulpa, Simon Malinowski, Franck Multon:
MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters. CoRR abs/2311.02502 (2023) - [i10]Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis:
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples. CoRR abs/2311.05538 (2023) - 2022
- [c61]Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis:
AlignMixup: Improving Representations By Interpolating Aligned Features. CVPR 2022: 19152-19161 - [c60]Shashanka Venkataramanan, Bill Psomas, Ewa Kijak, Laurent Amsaleg, Konstantinos Karantzalos, Yannis Avrithis:
It Takes Two to Tango: Mixup for Deep Metric Learning. ICLR 2022 - [c59]Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski:
Generative Cooperative Networks for Natural Language Generation. ICML 2022: 11891-11905 - [c58]Vincent Claveau, Antoine Chaffin, Ewa Kijak:
Generating Artificial Texts as Substitution or Complement of Training Data. LREC 2022: 4260-4269 - [c57]Antoine Chaffin, Vincent Claveau, Ewa Kijak:
PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding. NAACL-HLT 2022: 2953-2967 - [c56]Mohamed Younes, Ewa Kijak, Simon Malinowski, Richard Kulpa, Franck Multon:
AIP: Adversarial Interaction Priors for Multi-Agent Physics-based Character Control. SIGGRAPH Asia Posters 2022: 6:1-6:2 - [c55]Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau:
Which Discriminator for Cooperative Text Generation? SIGIR 2022: 2360-2365 - [c54]Antoine Chaffin, Vincent Claveau, Ewa Kijak, Sylvain Lamprier, Benjamin Piwowarski, Thomas Scialom, Jacopo Staiano:
Choisir le bon co-équipier pour la génération coopérative de texte (Choosing The Right Teammate For Cooperative Text Generation). TALN-RECITAL 2022: 12-26 - [c53]Antoine Chaffin, Vincent Claveau, Ewa Kijak:
Décodage guidé par un discriminateur avec le Monte Carlo Tree Search pour la génération de texte contrainte (Discriminator-guided decoding with Monte Carlo Tree Search for constrained text generation ). TALN-RECITAL 2022: 27-41 - [i9]Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski:
Generative Cooperative Networks for Natural Language Generation. CoRR abs/2201.12320 (2022) - [i8]Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau:
Which Discriminator for Cooperative Text Generation? CoRR abs/2204.11586 (2022) - [i7]Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis:
Teach me how to Interpolate a Myriad of Embeddings. CoRR abs/2206.14868 (2022) - 2021
- [c52]Raquel Almeida, Zenilton Kleber Gonçalves do Patrocínio Jr., Arnaldo de Albuquerque Araújo, Ewa Kijak, Simon Malinowski, Silvio Jamil Ferzoli Guimarães:
Descriptive Image Gradient from Edge-Weighted Image Graph and Random Forests. SIBGRAPI 2021: 338-345 - [c51]Vincent Claveau, Antoine Chaffin, Ewa Kijak:
La génération de textes artificiels en substitution ou en complément de données d'apprentissage (Generating artificial texts as substitution or complement of training data ). TALN (1) 2021: 37-49 - [c50]Suresh Kirthi Kumaraswamy, Miaojing Shi, Ewa Kijak:
Detecting Human-Object Interaction with Mixed Supervision. WACV 2021: 1227-1236 - [i6]Shashanka Venkataramanan, Yannis Avrithis, Ewa Kijak, Laurent Amsaleg:
AlignMix: Improving representation by interpolating aligned features. CoRR abs/2103.15375 (2021) - [i5]Shashanka Venkataramanan, Bill Psomas, Yannis Avrithis, Ewa Kijak, Laurent Amsaleg, Konstantinos Karantzalos:
It Takes Two to Tango: Mixup for Deep Metric Learning. CoRR abs/2106.04990 (2021) - [i4]Antoine Chaffin, Vincent Claveau, Ewa Kijak:
Generating texts under constraint through discriminator-guided MCTS. CoRR abs/2109.13582 (2021) - [i3]Vincent Claveau, Antoine Chaffin, Ewa Kijak:
Generating artificial texts as substitution or complement of training data. CoRR abs/2110.13016 (2021) - 2020
- [i2]Suresh Kirthi Kumaraswamy, Miaojing Shi, Ewa Kijak:
Detecting Human-Object Interaction with Mixed Supervision. CoRR abs/2011.04971 (2020)
2010 – 2019
- 2019
- [c49]Felipe A. L. Reis, Raquel Almeida, Ewa Kijak, Simon Malinowski, Silvio Jamil Ferzoli Guimarães, Zenilton K. G. do Patrocínio:
Combining convolutional side-outputs for road image segmentation. IJCNN 2019: 1-8 - 2018
- [j11]Cédric Maigrot, Ewa Kijak, Vincent Claveau:
Fusion par apprentissage pour la détection de fausses informations dans les réseaux sociaux. Document Numérique 21(3): 55-80 (2018) - [j10]Petra Bosilj, Ewa Kijak, Sébastien Lefèvre:
Partition and Inclusion Hierarchies of Images: A Comprehensive Survey. J. Imaging 4(2): 33 (2018) - [c48]Mathieu Laroze, Romain Dambreville, Chloé Friguet, Ewa Kijak, Sébastien Lefèvre:
Active Learning to Assist Annotation of Aerial Images in Environmental Surveys. CBMI 2018: 1-6 - [c47]Cédric Maigrot, Ewa Kijak, Vincent Claveau:
Context-Aware Forgery Localization in Social-Media Images: A Feature-Based Approach Evaluation. ICIP 2018: 545-549 - [c46]Cédric Maigrot, Vincent Claveau, Ewa Kijak:
Fusion-Based Multimodal Detection of Hoaxes in Social Networks. WI 2018: 222-229 - 2017
- [c45]Vincent Claveau, Ewa Kijak:
Strategies to Select Examples for Active Learning with Conditional Random Fields. CICLing (1) 2017: 30-43 - [c44]Cédric Maigrot, Ewa Kijak, Vincent Claveau:
Détection de fausses informations dans les réseaux sociaux : l'utilité des fusions de connaissances. CORIA 2017: 107-122 - [c43]Ronan Sicre, Yannis Avrithis, Ewa Kijak, Frédéric Jurie:
Unsupervised Part Learning for Visual Recognition. CVPR 2017: 3116-3124 - [c42]Cédric Maigrot, Vincent Claveau, Ewa Kijak:
Détection de fausses informations dans les réseaux sociaux : vers des approches multi-modales. EGC 2017: 437-438 - [c41]Cédric Maigrot, Vincent Claveau, Ewa Kijak:
Détection de fausses informations dans les réseaux sociaux : vers des approches multi-modales. EGC 2017: 439-440 - [c40]Ronan Sicre, Julien Rabin, Yannis Avrithis, Teddy Furon, Frédéric Jurie, Ewa Kijak:
Automatic Discovery of Discriminative Parts as a Quadratic Assignment Problem. ICCV Workshops 2017: 1059-1068 - [c39]Cédric Maigrot, Ewa Kijak, Ronan Sicre, Vincent Claveau:
Tampering Detection and Localization in Images from Social Networks: A CBIR Approach. ICIAP (1) 2017: 750-761 - [i1]Ronan Sicre, Yannis Avrithis, Ewa Kijak, Frédéric Jurie:
Unsupervised part learning for visual recognition. CoRR abs/1704.03755 (2017) - 2016
- [j9]Petra Bosilj, Erchan Aptoula, Sébastien Lefèvre, Ewa Kijak:
Retrieval of Remote Sensing Images with Pattern Spectra Descriptors. ISPRS Int. J. Geo Inf. 5(12): 228 (2016) - [j8]Cassio Elias dos Santos Junior, Ewa Kijak, Guillaume Gravier, William Robson Schwartz:
Partial least squares for face hashing. Neurocomputing 213: 34-47 (2016) - [j7]Petra Bosilj, Michael H. F. Wilkinson, Ewa Kijak, Sébastien Lefèvre:
Local 2D Pattern Spectra as Connected Region Descriptors. Math. Morphol. Theory Appl. 1(1) (2016) - [c38]Vincent Claveau, Ewa Kijak:
Direct vs. indirect evaluation of distributional thesauri. COLING 2016: 1837-1848 - [c37]Vincent Claveau, Ewa Kijak:
Distributional Thesauri for Information Retrieval and vice versa. LREC 2016 - [c36]Cédric Maigrot, Vincent Claveau, Ewa Kijak, Ronan Sicre:
MediaEval 2016: A Multimodal System for the Verifying Multimedia Use Task. MediaEval 2016 - [c35]Cédric Maigrot, Ewa Kijak, Vincent Claveau:
Médias traditionnels, médias sociaux : caractériser la réinformation (Traditional medias, social medias : characterizing reinformation). JEP-TALN-RECITAL (Posters) 2016: 498-505 - 2015
- [j6]Vincent Claveau, Ewa Kijak:
Thésaurus distributionnels pour la recherche d'information et vice-versa. Document Numérique 18(2-3): 101-121 (2015) - [c34]Petra Bosilj, Ewa Kijak, Sébastien Lefèvre:
Beyond MSER: Maximally Stable Regions using Tree of Shapes. BMVC 2015: 169.1-169.13 - [c33]Cassio E. dos Santos, Ewa Kijak, Guillaume Gravier, William Robson Schwartz:
Learning to hash faces using large feature vectors. CBMI 2015: 1-6 - [c32]Vincent Claveau, Ewa Kijak:
Thésaurus distributionnels pour la recherche d'information et vice-versa. CORIA 2015: 405-420 - [c31]Petra Bosilj, Ewa Kijak, Michael H. F. Wilkinson, Sébastien Lefèvre:
Short local descriptors from 2D connected pattern spectra. ICIP 2015: 1548-1552 - [c30]Petra Bosilj, Michael H. F. Wilkinson, Ewa Kijak, Sébastien Lefèvre:
Local 2D Pattern Spectra as Connected Region Descriptors. ISMM 2015: 182-193 - [c29]Vincent Claveau, Ewa Kijak:
Stratégies de sélection des exemples pour l'apprentissage actif avec des champs aléatoires conditionnels. TALN (long papers) 2015: 13-24 - 2014
- [c28]Vincent Claveau, Ewa Kijak, Olivier Ferret:
Improving distributional thesauri by exploring the graph of neighbors. COLING 2014: 709-720 - [c27]Vincent Claveau, Ewa Kijak:
Generating and using probabilistic morphological resources for the biomedical domain. LREC 2014: 3348-3354 - [c26]Vincent Claveau, Ewa Kijak, Olivier Ferret:
Exploring the neighbor graph to improve distributional thesauri (Explorer le graphe de voisinage pour améliorer les thésaurus distributionnels) [in French]. TALN (1) 2014: 220-231 - 2013
- [j5]Vincent Claveau, Ewa Kijak:
Analyse morphologique non supervisée en domaine biomédical. Application à la recherche d'information. Trait. Autom. des Langues 54(1): 13-45 (2013) - [c25]Petra Bosilj, Sébastien Lefèvre, Ewa Kijak:
Hierarchical Image Representation Simplification Driven by Region Complexity. ICIAP (1) 2013: 562-571 - 2012
- [c24]Vincent Claveau, Ewa Kijak:
Analyse morphologique fine pour la recherche d'information biomédicale. CORIA 2012: 41-56 - [c23]Thanh-Toan Do, Ewa Kijak:
Face recognition using Co-occurrence Histograms of Oriented Gradients. ICASSP 2012: 1301-1304 - [c22]Thanh-Toan Do, Ewa Kijak, Laurent Amsaleg, Teddy Furon:
Enlarging hacker's toolbox: Deluding image recognition by attacking keypoint orientations. ICASSP 2012: 1817-1820 - [c21]Thanh-Toan Do, Ewa Kijak, Laurent Amsaleg, Teddy Furon:
Security-oriented picture-in-picture visual modifications. ICMR 2012: 13 - 2011
- [j4]Joaquin Zepeda, Christine Guillemot, Ewa Kijak:
Image Compression Using Sparse Representations and the Iteration-Tuned and Aligned Dictionary. IEEE J. Sel. Top. Signal Process. 5(5): 1061-1073 (2011) - [c20]Joaquin Zepeda, Christine Guillemot, Ewa Kijak:
Image compression using the Iteration-Tuned and Aligned Dictionary. ICASSP 2011: 793-796 - [c19]Vincent Claveau, Ewa Kijak:
Morphological Analysis of Biomedical Terminology with Analogy-Based Alignment. RANLP 2011: 347-354 - 2010
- [j3]Claire Morand, Jenny Benois-Pineau, Jean-Philippe Domenger, Joaquin Zepeda, Ewa Kijak, Christine Guillemot:
Scalable object-based video retrieval in HD video databases. Signal Process. Image Commun. 25(6): 450-465 (2010) - [c18]Joaquin Zepeda, Ewa Kijak, Christine Guillemot:
Approximate nearest neighbors using sparse representations. ICASSP 2010: 2370-2373 - [c17]Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg:
Deluding image recognition in sift-based cbir systems. MiFor@MM 2010: 7-12 - [c16]Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg:
Understanding the security and robustness of SIFT. ACM Multimedia 2010: 1195-1198 - [c15]Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg:
Challenging the security of Content-Based Image Retrieval systems. MMSP 2010: 52-57 - [c14]Joaquin Zepeda, Christine Guillemot, Ewa Kijak:
The Iteration-Tuned Dictionary for sparse representations. MMSP 2010: 93-98 - [c13]Vincent Claveau, Ewa Kijak:
Analyse morphologique en terminologie biomédicale par alignement et apprentissage non-supervisé. TALN (Articles longs) 2010: 383-392
2000 – 2009
- 2009
- [c12]Ewa Kijak, Jenny Benois-Pineau:
Special Session: Scalable Video Indexing. CBMI 2009: 87-88 - [c11]Joaquin Zepeda, Ewa Kijak, Christine Guillemot:
SIFT-based local image description using sparse representations. MMSP 2009: 1-6 - 2007
- [j2]Philippe Joly, Jenny Benois-Pineau, Ewa Kijak, Georges Quénot:
The ARGOS campaign: Evaluation of video analysis and indexing tools. Signal Process. Image Commun. 22(7-8): 705-717 (2007) - [c10]Philippe Joly, Jenny Benois-Pineau, Ewa Kijak, Georges Quénot:
The Argos Campaign: Evaluation of Video Analysis Tools. CBMI 2007: 130-137 - [c9]Frédéric Gianni, Julien Pinquier, Ewa Kijak:
ACADI showcase - automatic character indexing in audiovisual document. CIVR 2007: 109-112 - 2006
- [j1]Ewa Kijak, Guillaume Gravier, Lionel Oisel, Patrick Gros:
Audiovisual integration for tennis broadcast structuring. Multim. Tools Appl. 30(3): 289-311 (2006) - [c8]Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki:
Video Navigation Based on Self-Organizing Maps. CIVR 2006: 340-349 - [c7]Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki:
VideoSOM: A SOM-Based Interface for Video Browsing. CIVR 2006: 506-509 - [c6]Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki:
Summarizing Video Information Using Self-Organizing Maps. FUZZ-IEEE 2006: 540-546 - [c5]Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki:
Using Self-Organizing Maps to Support Video Navigation. ICANN (1) 2006: 396-405 - 2003
- [b1]Ewa Kijak:
Structuration multimodale des vidéos de sport par modèles stochastiques. University of Rennes 1, France, 2003 - [c4]Ewa Kijak, Lionel Oisel, Patrick Gros:
Hierarchical structure analysis of sport videos using HMMS. ICIP (2) 2003: 1025-1028 - [c3]Ewa Kijak, Guillaume Gravier, Patrick Gros, Lionel Oisel, Frédéric Bimbot:
HMM based structuring of tennis videos using visual and audio cues. ICME 2003: 309-312 - [c2]Jürgen Stauder, Gael Gouzien, Bertrand Chupeau, Loic Nunez, Jean-Ronan Vigouroux, Ewa Kijak:
Semantic image browsing using hidden categories and confidence values. Storage and Retrieval for Media Databases 2003: 54-63 - [c1]Ewa Kijak, Lionel Oisel, Patrick Gros:
Temporal structure analysis of broadcast tennis video using hidden Markov models. Storage and Retrieval for Media Databases 2003: 289-299
Coauthor Index
Zenilton Kleber Gonçalves do Patrocínio Jr.
aka: Zenilton Kleber G. do Patrocínio Jr.
aka: Zenilton K. G. do Patrocínio
aka: Zenilton Kleber G. do Patrocínio Jr.
aka: Zenilton K. G. do Patrocínio
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