Personal profile
Personal profile
She is a Professor (HDR, 2024 from École Polytechnique) in Artificial Intelligence at the Computer Science Laboratory (LIX) of École Polytechnique, Paris, France. She leads the VISTA team and is an ELLIS member affiliated with the Paris Unit.
Her research aims to develop generalizable methods applicable across various domains, with a current focus on multimodal generative AI — particularly in terms of efficiency, structured or multiple outputs, and medical applications. At École Polytechnique, she is the main researcher in generative AI and regularly publishes in the most prestigious computer vision conferences (CVPR, ICCV, ECCV) and top journals (T-PAMI, IJCV). She actively supports both Slow Science and Open Science.
Previously, she was a research fellow at the Visual Geometry Group (VGG), University of Oxford, where she worked with Andrew Zisserman. She completed her PhD in a joint program between the CALVIN group at the University of Edinburgh and the THOTH team (formerly LEAR) at INRIA Grenoble, under the supervision of Vittorio Ferrari and Cordelia Schmid.
Research interests
Computer vision, deep learning
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Collaborations and top research areas from the last five years
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Bridging Text and Image for Artist Style Transfer via Contrastive Learning
Liu, Z. S., Wang, L. W., Xiao, J. & Kalogeiton, V., 1 Jan 2025, Computer Vision – ECCV 2024 Workshops, Proceedings. Del Bue, A., Canton, C., Pont-Tuset, J. & Tommasi, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 1-18 18 p. (Lecture Notes in Computer Science; vol. 15627 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
E.T. the Exceptional Trajectories: Text-to-Camera-Trajectory Generation with Character Awareness
Courant, R., Dufour, N., Wang, X., Christie, M. & Kalogeiton, V., 1 Jan 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 464-480 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15062 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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LEAD: Latent Realignment for Human Motion Diffusion
Andreou, N., Wang, X., Abrevaya, V. F., Cani, M. P., Chrysanthou, Y. & Kalogeiton, V., 1 Sept 2025, In: Computer Graphics Forum. 44, 6, e70093.Research output: Contribution to journal › Article › peer-review
Open Access -
Renal Transplant Survival Prediction From Unsupervised Deep Learning-Based Radiomics on Early Dynamic Contrast-Enhanced MRI
Milecki, L., Bodard, S., Kalogeiton, V., Poinard, F., Tissier, A. M., Boudhabhay, I., Correas, J. M., Anglicheau, D., Vakalopoulou, M. & Timsit, M. O., 1 Aug 2025, In: Academic Radiology. 32, 8, p. 4670-4677 8 p.Research output: Contribution to journal › Article › peer-review
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Studying Image Diffusion Features for Zero-Shot Video Object Segmentation
Delatolas, T., Kalogeiton, V. & Papadopoulos, D. P., 1 Jan 2025, Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025. IEEE Computer Society, p. 2627-2638 12 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Your Diffusion Model is an Implicit Synthetic Image Detector
Wang, X. & Kalogeiton, V., 1 Jan 2025, Computer Vision – ECCV 2024 Workshops, Proceedings. Del Bue, A., Canton, C., Pont-Tuset, J. & Tommasi, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 418-434 17 p. (Lecture Notes in Computer Science; vol. 15643 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities
Mordacq, J., Milecki, L., Vakalopoulou, M., Oudot, S. & Kalogeiton, V., 1 Jan 2024, In: Proceedings of Machine Learning Research. 250, p. 1040-1055 16 p.Research output: Contribution to journal › Conference article › peer-review
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Analysis of Classifier-Free Guidance Weight Schedulers
Wang, X., Dufour, N., Andreou, N., Cani, M. P., Abrevaya, V. F., Picard, D. & Kalogeiton, V., 1 Jan 2024, In: Transactions on Machine Learning Research. 2024Research output: Contribution to journal › Article › peer-review
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Collaborating Foundation Models for Domain Generalized Semantic Segmentation
Benigmim, Y., Roy, S., Essid, S., Kalogeiton, V. & Lathuilière, S., 1 Jan 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE Computer Society, p. 3108-3119 12 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion
Dufour, N., Besnier, V., Kalogeiton, V. & Picard, D., 1 Jan 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE Computer Society, p. 6264-6273 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review