Primal-Dual Mesh Convolutional Neural Networks. - Francesco Milano 001; Antonio Loquercio; Antoni Rosinol; Davide Scaramuzza 001; Luca Carlone (NeurIPS, 2020)

Self-Improving Semantic Perception for Indoor Localisation. - Hermann Blum; Francesco Milano 001; René Zurbrügg; Roland Siegwart; Cesar Cadena 001; Abel Gawel (CoRL, 2021)

Self-Improving Semantic Perception on a Construction Robot. - Hermann Blum; Francesco Milano 001; René Zurbrügg; Roland Siegwart; Cesar Cadena 001; Abel Gawel (CoRR, 2021)

Continual Learning of Semantic Segmentation using Complementary 2D-3D Data Representations. - Jonas Frey; Hermann Blum; Francesco Milano 001; Roland Siegwart; Cesar Cadena 001 (CoRR, 2021)

Unsupervised Continual Semantic Adaptation through Neural Rendering. - Zhizheng Liu; Francesco Milano 001; Jonas Frey; Marco Hutter 001; Roland Siegwart; Hermann Blum; Cesar Cadena 001 (CoRR, 2022)

Continual Adaptation of Semantic Segmentation Using Complementary 2D-3D Data Representations. - Jonas Frey; Hermann Blum; Francesco Milano 001; Roland Siegwart; Cesar Cadena 001 (IEEE Robotics Autom. Lett., 2022)

Unsupervised Continual Semantic Adaptation Through Neural Rendering. - Zhizheng Liu; Francesco Milano 001; Jonas Frey; Roland Siegwart; Hermann Blum; Cesar Cadena 001 (CVPR, 2023)

Neural Implicit Vision-Language Feature Fields. - Kenneth Blomqvist; Francesco Milano 001; Jen Jen Chung; Lionel Ott; Roland Siegwart (IROS, 2023)

NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models. - Francesco Milano 001; Jen Jen Chung; Hermann Blum; Roland Siegwart; Lionel Ott (IROS, 2024)

ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification. - Nicolas Gorlo; Kenneth Blomqvist; Francesco Milano 001; Roland Siegwart (WACV, 2024)

Panoptic Vision-Language Feature Fields. - Haoran Chen 005; Kenneth Blomqvist; Francesco Milano 001; Roland Siegwart (IEEE Robotics Autom. Lett., 2024)

Discontinuity-aware Normal Integration for Generic Central Camera Models. - Francesco Milano 001; Manuel López-Antequera; Naina Dhingra; Roland Siegwart; Robert Thiel (CoRR, 2025)

Towards Fast and Scalable Normal Integration using Continuous Components. - Francesco Milano 001; Jen Jen Chung; Lionel Ott; Roland Siegwart (CoRR, 2025)