Pierluigi Zama Ramirez: Neural Processing of 3D Neural Fields скачать в хорошем качестве

Pierluigi Zama Ramirez: Neural Processing of 3D Neural Fields

The talk given by Pierluigi Zama Ramirez on 18 November 2025 𝐓𝐢𝐭𝐥𝐞: Neural Processing of 3D Neural Fields 𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭: In recent years, Neural Fields have emerged as an effective tool for encoding diverse continuous signals such as images, videos, and 3D shapes. However, given that Neural Fields are essentially neural networks, it remains unclear whether and how they can be seamlessly integrated into deep learning pipelines for solving downstream tasks. This presentation delves into the novel research problem of Neural Fields processing through deep learning pipelines, exploring techniques for leveraging this data representation to perform tasks such as classification, segmentation, and even more complex tasks like natural language understanding of the neural field content. Short Bio: Pierluigi Zama Ramirez received his Ph.D. in Computer Science and Engineering in 2021. He is currently an Assistant Professor at the University of Bologna. He has co-authored over 30 publications in the field of computer vision and artificial intelligence, the majority of which have appeared in leading venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, and TPAMI. In particular, his research focuses on neural fields, 3D reconstruction, anomaly detection, and domain adaptation.