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2020 – today
- 2024
[c10]Danfeng Qin, Chas Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang, Weijun Wang, Colby R. Banbury, Chengxi Ye, Berkin Akin, Vaibhav Aggarwal, Tenghui Zhu, Daniele Moro, Andrew G. Howard:
MobileNetV4: Universal Models for the Mobile Ecosystem. ECCV (40) 2024: 78-96- [i4]Danfeng Qin, Chas Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang, Weijun Wang, Colby R. Banbury, Chengxi Ye, Berkin Akin, Vaibhav Aggarwal, Tenghui Zhu, Daniele Moro, Andrew Howard:
MobileNetV4 - Universal Models for the Mobile Ecosystem. CoRR abs/2404.10518 (2024) - 2022
- [c9]Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni
, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha:
On Label Granularity and Object Localization. ECCV (10) 2022: 604-620 - [i3]Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha:
On Label Granularity and Object Localization. CoRR abs/2207.10225 (2022) - 2021
- [i2]Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. CoRR abs/2101.01260 (2021) - [i1]Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew G. Howard:
Bridging the Gap Between Object Detection and User Intent via Query-Modulation. CoRR abs/2106.10258 (2021) - 2020
- [c8]Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ACCV (6) 2020: 239-256 - [c7]Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ECCV Workshops (1) 2020: 636-640
2010 – 2019
- 2015
- [j1]Jesus Martínez-Gómez, Barbara Caputo, Miguel Cazorla, Henrik Iskov Christensen, Marco Fornoni, Ismael García-Varea, Andrzej Pronobis:
Where Are We After Five Editions?: Robot Vision Challenge, a Competition that Evaluates Solutions for the Visual Place Classification Problem. IEEE Robotics Autom. Mag. 22(4): 147-156 (2015) - 2014
- [c6]Marco Fornoni, Barbara Caputo:
Scene Recognition with Naive Bayes Non-linear Learning. ICPR 2014: 3404-3409 - 2013
- [c5]Marco Fornoni, Barbara Caputo, Francesco Orabona:
Multiclass Latent Locally Linear Support Vector Machines. ACML 2013: 229-244 - 2012
- [c4]Marco Fornoni, Barbara Caputo:
Indoor Scene Recognition using Task and Saliency-driven Feature Pooling. BMVC 2012: 1-12 - 2010
- [c3]Marco Fornoni, Jesus Martínez-Gómez, Barbara Caputo:
A Multi Cue Discriminative Approach to Semantic Place Classification. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c2]Andrzej Pronobis, Marco Fornoni, Henrik I. Christensen, Barbara Caputo:
The Robot Vision Track at ImageCLEF 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c1]Francesco Orabona, Marco Fornoni, Barbara Caputo, Nicolò Cesa-Bianchi:
OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie. CVPR Workshops 2010: 43-50
Coauthor Index
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