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ORCIDMichele Fenzi
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2020 – today
- 2025
[i3]Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Lin Yen-Chen, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski:
Cosmos World Foundation Model Platform for Physical AI. CoRR abs/2501.03575 (2025)- 2022
- [c10]Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer:
Object-Level Targeted Selection via Deep Template Matching. IV 2022: 766-771 - [i2]Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer:
Object-Level Targeted Selection via Deep Template Matching. CoRR abs/2207.01778 (2022) - 2020
- [c9]Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez:
Scalable Active Learning for Object Detection. IV 2020: 1430-1435 - [i1]Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez:
Scalable Active Learning for Object Detection. CoRR abs/2004.04699 (2020)
2010 – 2019
- 2016
- [b1]Michele Fenzi:
Feature regression for continuous pose estimation of object categories. University of Hanover, Hannover, Germany, 2016 - 2015
- [c8]Michele Fenzi, Laura Leal-Taixé, Jörn Ostermann
, Tinne Tuytelaars:
Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors. ICCV 2015: 1035-1043 - [c7]Michele Fenzi, Laura Leal-Taixé, Konrad Schindler, Jörn Ostermann:
Pose Estimation of Object Categories in Videos Using Linear Programming. WACV 2015: 821-828 - 2014
- [c6]Michele Fenzi, Jörn Ostermann, Nico Mentzer, Guillermo Payá-Vayá, Holger Blume, Tu Ngoc Nguyen, Thomas Risse:
ASEV - Automatic situation assessment for event-driven video analysis. AVSS 2014: 37-43 - [c5]Michele Fenzi, Jörn Ostermann:
Embedding Geometry in Generative Models for Pose Estimation of Object Categories. BMVC 2014 - [c4]Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese:
Learning an Image-Based Motion Context for Multiple People Tracking. CVPR 2014: 3542-3549 - 2013
- [c3]Michele Fenzi, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann:
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories. CVPR 2013: 755-762 - 2012
- [c2]Michele Fenzi, Ralf Dragon, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann:
3D Object Recognition and Pose Estimation for Multiple Objects Using Multi-Prioritized RANSAC and Model Updating. DAGM/OAGM Symposium 2012: 123-133 - 2011
- [c1]Ralf Dragon, Michele Fenzi, Wolf Siberski, Bodo Rosenhahn, Jörn Ostermann:
Towards Feature-Based Situation Assessment for Airport Apron Video Surveillance. Theoretical Foundations of Computer Vision 2011: 110-130
Coauthor Index
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