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ORCIDVittorio Caggiano
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2020 – today
- 2023
[c14]Vittorio Caggiano, Sudeep Dasari, Vikash Kumar:
MyoDex: A Generalizable Prior for Dexterous Manipulation. ICML 2023: 3327-3346- [c13]Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran:
RoboHive: A Unified Framework for Robot Learning. NeurIPS 2023 - [c12]Cameron H. Berg, Vittorio Caggiano, Vikash Kumar:
SAR: Generalization of Physiological Dexterity via Synergistic Action Representation. Robotics: Science and Systems 2023 - [i5]Cameron Berg, Vittorio Caggiano, Vikash Kumar:
SAR: Generalization of Physiological Agility and Dexterity via Synergistic Action Representation. CoRR abs/2307.03716 (2023) - [i4]Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano, Vikash Kumar, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle:
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models. CoRR abs/2309.02976 (2023) - [i3]Vittorio Caggiano, Sudeep Dasari, Vikash Kumar:
MyoDex: A Generalizable Prior for Dexterous Manipulation. CoRR abs/2309.03130 (2023) - [i2]Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Jay Vakil, Abhishek Gupta, Aravind Rajeswaran:
RoboHive: A Unified Framework for Robot Learning. CoRR abs/2310.06828 (2023) - 2022
- [c11]Huawei Wang
, Vittorio Caggiano, Guillaume Durandau, Massimo Sartori, Vikash Kumar:
MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies. ICRA 2022: 8104-8111 - [c10]Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar:
MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control. L4DC 2022: 492-507 - [i1]Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar:
MyoSuite - A contact-rich simulation suite for musculoskeletal motor control. CoRR abs/2205.13600 (2022) - 2021
- [j3]Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - [c9]Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar:
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) 2021: 233-250
2010 – 2019
- 2019
- [c8]Sébastien Naze, Vittorio Caggiano, Yinming Sun, Molly V. Lucas, Amit Etkin, James R. Kozloski:
Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning. EMBC 2019: 3539-3542 - 2017
- [c7]Mohammad Hovaidi-Ardestani, Vittorio Caggiano, Martin A. Giese:
Neurodynamical Model for the Coupling of Action Perception and Execution. ICANN (1) 2017: 19-26
2000 – 2009
- 2007
- [j2]Giuseppe Boccignone, Paolo Napoletano, Vittorio Caggiano, Mario Ferraro:
A multiresolution diffused expectation-maximization algorithm for medical image segmentation. Comput. Biol. Medicine 37(1): 83-96 (2007) - 2006
- [j1]Giuseppe Boccignone, Angelo Marcelli, Paolo Napoletano, Vittorio Caggiano, Gianluca Di Fiore:
Bayesian Propagation for Perceiving Moving Objects. Int. J. Pattern Recognit. Artif. Intell. 20(6): 835-848 (2006) - 2005
- [c6]Giuseppe Boccignone, Vittorio Caggiano, Gianluca Di Fiore, Angelo Marcelli, Paolo Napoletano:
A Bayesian Approach to Situated Vision. BVAI 2005: 367-376 - [c5]Giuseppe Boccignone, Vittorio Caggiano, Angelo Marcelli, Paolo Napoletano, Gianluca Di Fiore:
An Architectural Model for Combining Spatial-Based and Object-Based Information for Attentive Video Analysis. CAMP 2005: 116-121 - [c4]Giuseppe Boccignone, Vittorio Caggiano, Gianluca Di Fiore, Angelo Marcelli:
Probabilistic Detection and Tracking of Faces in Video. ICIAP 2005: 687-694 - [c3]Giuseppe Boccignone, Vittorio Caggiano, Paolo Napoletano, Mario Ferraro:
Image segmentation via multiresolution diffused expectation-maximisation. ICIP (1) 2005: 289-292 - [c2]Giuseppe Boccignone, Vittorio Caggiano, Angelo Marcelli, Gianluca Di Fiore:
Interleaved detection and tracking of faces in video. ICIP (2) 2005: 398-401 - [c1]Giuseppe Boccignone, Vittorio Caggiano, Carmine Cesarano, Vincenzo Moscato, Lucio Sansone:
An Indexing Approach for Representing Multimedia Objects in High-Dimensional Spaces Based on Expectation Maximization Algorithm. Multimedia Information Systems 2005: 63-77
Coauthor Index
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