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Exploring the latent geometry for representation learning
2024 Montanaro, Antonio
MOTIONCRAFT: Physics-based Zero-Shot Video Generation
2024 Montanaro, A.; SAVANT AIRA, Luca; Aiello, E.; Valsesia, D.; Magli, E.
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
2023 Leng, Z.; Wu, S. -C.; Saleh, M.; Montanaro, A.; Yu, H.; Wang, Y.; Navab, N.; Liang, X.; Tombari, F.
Towards Hyperbolic Regularizers For Point Cloud Part Segmentation
2023 Montanaro, Antonio; Valsesia, Diego; Magli, Enrico
Exploring the Solution Space of Linear Inverse Problems with GAN Latent Geometry
2022 Montanaro, Antonio; Valsesia, Diego; Magli, Enrico
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
2022 Montanaro, A.; Valsesia, D.; Magli, E.
Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification
2022 Montanaro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
Stack-CNN algorithm: A new approach for the detection of space objects
2022 Montanaro, A.; Ebisuzaki, T.; Bertaina, M.
UV telescope TUS on board Lomonosov satellite: Selected results of the mission
2022 Barghini, Dario; Bertaina, Mario; Cellino, Alberto; Fenu, Francesco; Ferrarese, Silvia; Golzio, Alessio; Ruiz-Hernandez, Oliver I.; Klimov, Pavel; Montanaro, Antonio; Salsi, Anthony; Sharakin, Sergei; Sigaeva, Ksenia; Zotov, Mikhail
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Exploring the latent geometry for representation learning / Montanaro, Antonio. - (2024 Jun 28), pp. 1-147. | 28-giu-2024 | MONTANARO, ANTONIO | conv_phdPolito_AntonioMontanaro.pdf; conv_phdabstract.pdf |
| MOTIONCRAFT: Physics-based Zero-Shot Video Generation / Montanaro, A.; SAVANT AIRA, Luca; Aiello, E.; Valsesia, D.; Magli, E.. - 37:(2024). (Intervento presentato al convegno 38th Conference on Neural Information Processing Systems, NeurIPS 2024 tenutosi a Vancouver, Canada nel 2024). | 1-gen-2024 | Montanaro A.Aira Savant LucaAiello E.Valsesia D.Magli E. | - |
| Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction / Leng, Z.; Wu, S. -C.; Saleh, M.; Montanaro, A.; Yu, H.; Wang, Y.; Navab, N.; Liang, X.; Tombari, F.. - ELETTRONICO. - (2023), pp. 14894-14904. (Intervento presentato al convegno 2023 IEEE/CVF International Conference on Computer Vision (ICCV) tenutosi a Paris, France nel 01-06 October 2023) [10.1109/ICCV51070.2023.01368]. | 1-gen-2023 | Montanaro A. + | Leng_Dynamic_Hyperbolic_Attention_Network_for_Fine_Hand-object_Reconstruction_ICCV_2023_paper.pdf; Montanaro-Dynamic.pdf |
| Towards Hyperbolic Regularizers For Point Cloud Part Segmentation / Montanaro, Antonio; Valsesia, Diego; Magli, Enrico. - ELETTRONICO. - (2023), pp. 1-5. (Intervento presentato al convegno ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) tenutosi a Rhodes Island, Greece nel 04-10 June 2023) [10.1109/ICASSP49357.2023.10095253]. | 1-gen-2023 | Montanaro, AntonioValsesia, DiegoMagli, Enrico | montanaro_icassp.pdf; Hyperbolic_regularizer-1.pdf |
| Exploring the Solution Space of Linear Inverse Problems with GAN Latent Geometry / Montanaro, Antonio; Valsesia, Diego; Magli, Enrico. - ELETTRONICO. - (2022), pp. 1381-1385. (Intervento presentato al convegno 2022 IEEE International Conference on Image Processing (ICIP) tenutosi a Bordeaux, France nel 16-19 October 2022) [10.1109/ICIP46576.2022.9897211]. | 1-gen-2022 | Montanaro, AntonioValsesia, DiegoMagli, Enrico | Exploring_the_Solution_Space_of_Linear_Inverse_Problems_with_GAN_Latent_Geometry.pdf; Explorable_inverse_problems.pdf |
| Rethinking the compositionality of point clouds through regularization in the hyperbolic space / Montanaro, A.; Valsesia, D.; Magli, E.. - ELETTRONICO. - 35:(2022). (Intervento presentato al convegno 36th Conference on Neural Information Processing Systems, NeurIPS 2022 tenutosi a New Orleans, USA nel November 28th through December 9th, 2022). | 1-gen-2022 | Montanaro A.Valsesia D.Magli E. | montanaro_neurips22.pdf |
| Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification / Montanaro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - In: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. - ISSN 1545-598X. - STAMPA. - 19:(2022), pp. 1-5. [10.1109/lgrs.2022.3195259] | 1-gen-2022 | Antonio MontanaroDiego ValsesiaGiulia FracastoroEnrico Magli | Semi-Supervised_Learning_for_Joint_SAR_and_Multispectral_Land_Cover_Classification.pdf; Self_supervised_multispectral_segmentation.pdf |
| Stack-CNN algorithm: A new approach for the detection of space objects / Montanaro, A.; Ebisuzaki, T.; Bertaina, M.. - In: JOURNAL OF SPACE SAFETY ENGINEERING. - ISSN 2468-8967. - ELETTRONICO. - 9:1(2022), pp. 72-82. [10.1016/j.jsse.2022.01.001] | 1-gen-2022 | Montanaro, A. + | stack-cnn_preprint.pdf; stack-cnn_postprint.pdf; 1-s2.0-S2468896722000015-main.pdf |
| UV telescope TUS on board Lomonosov satellite: Selected results of the mission / Barghini, Dario; Bertaina, Mario; Cellino, Alberto; Fenu, Francesco; Ferrarese, Silvia; Golzio, Alessio; Ruiz-Hernandez, Oliver I.; Klimov, Pavel; Montanaro, Antonio; Salsi, Anthony; Sharakin, Sergei; Sigaeva, Ksenia; Zotov, Mikhail. - In: ADVANCES IN SPACE RESEARCH. - ISSN 0273-1177. - ELETTRONICO. - 70:9(2022), pp. 2734-2749. [10.1016/j.asr.2021.11.044] | 1-gen-2022 | Montanaro, Antonio + | TUS_JASR_2021_v1.pdf; TUS_JASR_2021_rev1.pdf; Montanaro-UV.pdf |