Search results
Results: 5
Number of items: 5
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Didolkar, A., Zadaianchuk, A., Awal, R., Seitzer, M., Gavves, E., & Agrawal, A. (2025). CTRL-O: Language-Controllable Object-Centric Visual Representation Learning. In 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition : CVPR 2025: Nashville, Tennessee, USA, 11-15 June 2025 : proceedings (pp. 29523-29533). IEEE Computer Society. https://doi.org/10.1109/CVPR52734.2025.02749 -
Manasyan, A., Seitzer, M., Radovic, F., Martius, G., & Zadaianchuk, A. (2025). Temporally Consistent Object-Centric Learning by Contrasting Slots. In 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition : CVPR 2025: Nashville, Tennessee, USA, 11-15 June 2025 : proceedings (pp. 5401-5411). IEEE Computer Society. https://doi.org/10.48550/arXiv.2412.14295, https://doi.org/10.1109/CVPR52734.2025.00508
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Barcellona, L., Zadaianchuk, A., Allegro, D., Papa, S., Ghidoni, S., & Gavves, E. (2025). Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=3RSLW9YSgk
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Didolkar, A., Zadaianchuk, A., Goyal, A., Mozer, M. C., Bengio, Y., Martius, G., & Seitzer, M. (2025). On the Transfer of Object-Centric Representation Learning. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=bSq0XGS3kW
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Sancaktar, C., Gumbsch, C., Zadaianchuk, A., Kolev, P., & Martius, G. (2025). SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models. Proceedings of Machine Learning Research, 267, 52745-52777. https://openreview.net/forum?id=ZDPNmihkMR
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