Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion von Cardace, Adriano, Conti, Andrea, Ramirez, Pierluigi Zama, Spezialetti, Riccardo, Salti, Samuele, Stefano, Luigi Di

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Deep Learning on Object-Centric 3D Neural Fields von Ramirez, Pierluigi Zama, De Luigi, Luca, Sirocchi, Daniele, Cardace, Adriano, Spezialetti, Riccardo, Ballerini, Francesco, Salti, Samuele, Stefano, Luigi Di

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Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation von Cardace, Adriano, Ramirez, Pierluigi Zama, Salti, Samuele, Di Stefano, Luigi

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MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception von Rahman, M. Mahbubur, Yataka, Ryoma, Kato, Sorachi, Wang, Pu Perry, Li, Peizhao, Cardace, Adriano, Boufounos, Petros

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Deep Learning on Object-centric 3D Neural Fields von Ramirez, Pierluigi Zama, De Luigi, Luca, Sirocchi, Daniele, Cardace, Adriano, Spezialetti, Riccardo, Ballerini, Francesco, Salti, Samuele, Di Stefano, Luigi

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Learning Good Features to Transfer Across Tasks and Domains von Ramirez, Pierluigi Zama, Cardace, Adriano, De Luigi, Luca, Tonioni, Alessio, Salti, Samuele, Di Stefano, Luigi

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Self-Distillation for Unsupervised 3D Domain Adaptation von Cardace, Adriano, Spezialetti, Riccardo, Ramirez, Pierluigi Zama, Salti, Samuele, Di Stefano, Luigi

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Permutation Equivariant Neural Functionals von Zhou, Allan, Yang, Kaien, Burns, Kaylee, Cardace, Adriano, Jiang, Yiding, Sokota, Samuel, Kolter, J. Zico, Finn, Chelsea

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Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation von Cardace, Adriano, De Luigi, Luca, Ramirez, Pierluigi Zama, Salti, Samuele, Di Stefano, Luigi

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Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation von Cardace, Adriano, Pierluigi Zama Ramirez, Salti, Samuele, Luigi Di Stefano

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MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception von Rahman, M Mahbubur, Yataka, Ryoma, Kato, Sorachi, Pu Perry Wang, Li, Peizhao, Cardace, Adriano, Boufounos, Petros

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Deep Learning on Object-centric 3D Neural Fields von Pierluigi Zama Ramirez, Luca De Luigi, Sirocchi, Daniele, Cardace, Adriano, Spezialetti, Riccardo, Ballerini, Francesco, Salti, Samuele, Luigi Di Stefano

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Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries von Cardace, Adriano, Pierluigi Zama Ramirez, Salti, Samuele, Luigi Di Stefano

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Deep Learning on Implicit Neural Representations of Shapes von Luca De Luigi, Cardace, Adriano, Spezialetti, Riccardo, Pierluigi Zama Ramirez, Salti, Samuele, Luigi Di Stefano

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Learning Good Features to Transfer Across Tasks and Domains von Pierluigi Zama Ramirez, Cardace, Adriano, Luca De Luigi, Tonioni, Alessio, Salti, Samuele, Luigi Di Stefano

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Permutation Equivariant Neural Functionals von Zhou, Allan, Yang, Kaien, Burns, Kaylee, Cardace, Adriano, Jiang, Yiding, Sokota, Samuel, Kolter, J Zico, Finn, Chelsea

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Self-Distillation for Unsupervised 3D Domain Adaptation von Cardace, Adriano, Spezialetti, Riccardo, Pierluigi Zama Ramirez, Salti, Samuele, Luigi Di Stefano

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RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation von Cardace, Adriano, Spezialetti, Riccardo, Pierluigi Zama Ramirez, Salti, Samuele, Luigi Di Stefano

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