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2020 – today
- 2024
[c13]Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixé:
SeMoLi: What Moves Together Belongs Together. CVPR 2024: 14685-14694- [c12]Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé:
Better Call SAL: Towards Learning to Segment Anything in Lidar. ECCV (39) 2024: 71-90 - [c11]Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong:
LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies. ICML 2024 - [i15]Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey
, Laura Leal-Taixé:
SeMoLi: What Moves Together Belongs Together. CoRR abs/2402.19463 (2024) - [i14]Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé:
Better Call SAL: Towards Learning to Segment Anything in Lidar. CoRR abs/2403.13129 (2024) - [i13]Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong:
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies. CoRR abs/2407.16067 (2024) - 2023
- [c10]Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan:
Learning to Zoom and Unzoom. CVPR 2023: 5086-5095 - [c9]Haithem Turki, Jason Y. Zhang, Francesco Ferroni, Deva Ramanan:
SUDS: Scalable Urban Dynamic Scenes. CVPR 2023: 12375-12385 - [c8]Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan:
Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images. CVPR 2023: 17514-17523 - [c7]Xueqian Li, Jianqiao Zheng, Francesco Ferroni, Jhony Kaesemodel Pontes, Simon Lucey:
Fast Neural Scene Flow. ICCV 2023: 9844-9856 - [c6]Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan:
Lidar Panoptic Segmentation and Tracking without Bells and Whistles. IROS 2023: 7667-7674 - [c5]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. WACV 2023: 692-701 - [i12]Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan:
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images. CoRR abs/2301.04224 (2023) - [i11]Di Feng, Francesco Ferroni:
Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors. CoRR abs/2301.13592 (2023) - [i10]Haithem Turki, Jason Y. Zhang, Francesco Ferroni, Deva Ramanan:
SUDS: Scalable Urban Dynamic Scenes. CoRR abs/2303.14536 (2023) - [i9]Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan:
Learning to Zoom and Unzoom. CoRR abs/2303.15390 (2023) - [i8]Xueqian Li, Jianqiao Zheng, Francesco Ferroni, Jhony Kaesemodel Pontes, Simon Lucey:
Fast Neural Scene Flow. CoRR abs/2304.09121 (2023) - [i7]Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan:
Thinking Like an Annotator: Generation of Dataset Labeling Instructions. CoRR abs/2306.14035 (2023) - [i6]Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan:
Lidar Panoptic Segmentation and Tracking without Bells and Whistles. CoRR abs/2310.12464 (2023) - 2022
- [i5]Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt:
Flat latent manifolds for music improvisation between human and machine. CoRR abs/2202.12243 (2022) - [i4]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. CoRR abs/2211.13858 (2022) - 2020
- [c4]Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt:
Learning Flat Latent Manifolds with VAEs. ICML 2020: 1587-1596 - [i3]Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt:
Learning Flat Latent Manifolds with VAEs. CoRR abs/2002.04881 (2020)
2010 – 2019
- 2019
- [c3]Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt:
Fast Approximate Geodesics for Deep Generative Models. ICANN (2) 2019: 554-566 - [c2]Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari:
Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation. ICCV 2019: 2931-2940 - [i2]Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari:
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation. CoRR abs/1908.00598 (2019) - 2018
- [i1]Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt:
Fast Approximate Geodesics for Deep Generative Models. CoRR abs/1812.08284 (2018) - 2016
- [c1]Francesco Ferroni, Martin Klimmek, Helge Aufderheide, Joao Laia, Dennis Klingebiel, Maria Davidich:
Data Driven Monitoring of Rolling Stock Components. IntelliSys (1) 2016: 1003-1013 - 2014
- [j1]Francesco Ferroni, Edmund Tarleton, Steven Fitzgerald:
GPU accelerated dislocation dynamics. J. Comput. Phys. 272: 619-628 (2014)
Coauthor Index
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last updated on 2024-10-11 18:22 CEST by the dblp team
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