Michele Fenzi

14 papers A* 3A 2B 1C 2Journal 3Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cosmos World Foundation Model Platform for Physical AI.
CoRR
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, Yen-Chen Lin, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski
2022 C conf
Object-Level Targeted Selection via Deep Template Matching.
IV
Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer
2022 J jnl
Object-Level Targeted Selection via Deep Template Matching.
CoRR
Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer
2020 C conf
Scalable Active Learning for Object Detection.
IV
Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez
2020 J jnl
Scalable Active Learning for Object Detection.
CoRR
Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez
2016 — —
Feature regression for continuous pose estimation of object categories.
Michele Fenzi
2015 A* conf
Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors.
ICCV
Michele Fenzi, Laura Leal-Taixé, Jörn Ostermann, Tinne Tuytelaars
2015 A conf
Pose Estimation of Object Categories in Videos Using Linear Programming.
WACV
Michele Fenzi, Laura Leal-Taixé, Konrad Schindler, Jörn Ostermann
2014 B conf
ASEV - Automatic situation assessment for event-driven video analysis.
AVSS
Michele Fenzi, Jörn Ostermann, Nico Mentzer, Guillermo Payá-Vayá, Holger Blume, Tu Ngoc Nguyen, Thomas Risse
2014 A conf
Embedding Geometry in Generative Models for Pose Estimation of Object Categories.
BMVC
Michele Fenzi, Jörn Ostermann
2014 A* conf
Learning an Image-Based Motion Context for Multiple People Tracking.
CVPR
Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese
2013 A* conf
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories.
CVPR
Michele Fenzi, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann
2012 — conf
3D Object Recognition and Pose Estimation for Multiple Objects Using Multi-Prioritized RANSAC and Model Updating.
DAGM/OAGM Symposium
Michele Fenzi, Ralf Dragon, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann
2011 — conf
Towards Feature-Based Situation Assessment for Airport Apron Video Surveillance.
Theoretical Foundations of Computer Vision
Ralf Dragon, Michele Fenzi, Wolf Siberski, Bodo Rosenhahn, Jörn Ostermann