GPU accelerated dislocation dynamics. - Francesco Ferroni; Edmund Tarleton; Steven Fitzgerald (J. Comput. Phys., 2014)

Data Driven Monitoring of Rolling Stock Components. - Francesco Ferroni; Martin Klimmek; Helge Aufderheide; Joao Laia; Dennis Klingebiel; Maria Davidich (IntelliSys (1), 2016)

Fast Approximate Geodesics for Deep Generative Models. - Nutan Chen; Francesco Ferroni; Alexej Klushyn; Alexandros Paraschos; Justin Bayer; Patrick van der Smagt (ICANN (2), 2019)

Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation. - Janis Postels; Francesco Ferroni; Huseyin Coskun; Nassir Navab; Federico Tombari (ICCV, 2019)

Learning Flat Latent Manifolds with VAEs. - Nutan Chen; Alexej Klushyn; Francesco Ferroni; Justin Bayer; Patrick van der Smagt (ICML, 2020)

Flat latent manifolds for music improvisation between human and machine. - Nutan Chen; Djalel Benbouzid; Francesco Ferroni; Mathis Nitschke; Luciano Pinna; Patrick van der Smagt (CoRR, 2022)

Learning to Zoom and Unzoom. - Chittesh Thavamani; Mengtian Li; Francesco Ferroni; Deva Ramanan (CVPR, 2023)

SUDS: Scalable Urban Dynamic Scenes. - Haithem Turki; Jason Y. Zhang 001; Francesco Ferroni; Deva Ramanan (CVPR, 2023)

Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images. - Xindi Wu; KwunFung Lau; Francesco Ferroni; Aljosa Osep; Deva Ramanan (CVPR, 2023)

Fast Neural Scene Flow. - Xueqian Li; Jianqiao Zheng; Francesco Ferroni; Jhony Kaesemodel Pontes; Simon Lucey (ICCV, 2023)

Lidar Panoptic Segmentation and Tracking without Bells and Whistles. - Abhinav Agarwalla; Xuhua Huang; Jason Ziglar; Francesco Ferroni; Laura Leal-Taixé; James Hays; Aljosa Osep; Deva Ramanan (IROS, 2023)

Far3Det: Towards Far-Field 3D Detection. - Shubham Gupta; Jeet Kanjani; Mengtian Li; Francesco Ferroni; James Hays; Deva Ramanan; Shu Kong (WACV, 2023)

Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors. - Di Feng; Francesco Ferroni (CoRR, 2023)

Thinking Like an Annotator: Generation of Dataset Labeling Instructions. - Nadine Chang; Francesco Ferroni; Michael J. Tarr; Martial Hebert; Deva Ramanan (CoRR, 2023)

SeMoLi: What Moves Together Belongs Together. - Jenny Seidenschwarz; Aljosa Osep; Francesco Ferroni; Simon Lucey; Laura Leal-Taixé (CVPR, 2024)

Better Call SAL: Towards Learning to Segment Anything in Lidar. - Aljosa Osep; Tim Meinhardt; Francesco Ferroni; Neehar Peri; Deva Ramanan; Laura Leal-Taixé (ECCV (39), 2024)

LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies. - Jia Shi; Gautam Rajendrakumar Gare; Jinjin Tian; Siqi Chai; Zhiqiu Lin; Arun Balajee Vasudevan; Di Feng; Francesco Ferroni; Shu Kong (ICML, 2024)

Cosmos World Foundation Model Platform for Physical AI. - Niket Agarwal; Arslan Ali; Maciej Bala; Yogesh Balaji; Erik Barker; Tiffany Cai; Prithvijit Chattopadhyay; Yongxin Chen; Yin Cui; Yifan Ding; Daniel Dworakowski; Jiaojiao Fan; et al. (CoRR, 2025)

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control. - Hassan Abu Alhaija; José M. Álvarez 004; Maciej Bala; Tiffany Cai; Tianshi Cao; Liz Cha; Joshua Chen; Mike Chen; Francesco Ferroni; Sanja Fidler; Dieter Fox; Yunhao Ge; et al. (CoRR, 2025)

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. - Alisson G. Azzolini; Hannah Brandon; Prithvijit Chattopadhyay; Huayu Chen; Jinju Chu; Yin Cui; Jenna Diamond; Yifan Ding; Francesco Ferroni; Rama Govindaraju; Jinwei Gu; Siddharth Gururani; et al. (CoRR, 2025)