Publications

@article{Dunnhofer2024,

title = {Visual tracking in camera-switching outdoor sport videos: Benchmark and baselines for skiing},

author = {Matteo Dunnhofer and Christian Micheloni},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188842954&doi=10.1016%2fj.cviu.2024.103978&partnerID=40&md5=12193e1bec6a9277b12f04bcc858c6bb},

doi = {10.1016/j.cviu.2024.103978},

year  = {2024},

date = {2024-01-01},

journal = {Computer Vision and Image Understanding},

volume = {243},

note = {Cited by: 0; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Khan20244556,

title = {Lightweight Prompt Learning Implicit Degradation Estimation Network for Blind Super Resolution},

author = {Asif Hussain Khan and Christian Micheloni and Niki Martinel},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201748692&doi=10.1109%2fTIP.2024.3442613&partnerID=40&md5=32f1cbf04a25737b85bc52b641b35c2b},

doi = {10.1109/TIP.2024.3442613},

year  = {2024},

date = {2024-01-01},

journal = {IEEE Transactions on Image Processing},

volume = {33},

pages = {4556 – 4567},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bansal2023353,

title = {Spatio-Temporal Attention for Cloth-Changing ReID in Videos},

author = {Vaibhav Bansal and Christian Micheloni and Gianluca Foresti and Niki Martinel},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150986259&doi=10.1007%2f978-3-031-25075-0_25&partnerID=40&md5=182854a2a66df46da372f5be2865ef51},

doi = {10.1007/978-3-031-25075-0_25},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {13806 LNCS},

pages = {353 – 368},

note = {Cited by: 1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dunnhofer2023259,

title = {Visual Object Tracking in First Person Vision},

author = {Matteo Dunnhofer and Antonino Furnari and Giovanni Maria Farinella and Christian Micheloni},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139917315&doi=10.1007%2fs11263-022-01694-6&partnerID=40&md5=d85eb822b1e4a0fc6ccf92f340da447c},

doi = {10.1007/s11263-022-01694-6},

year  = {2023},

date = {2023-01-01},

journal = {International Journal of Computer Vision},

volume = {131},

number = {1},

pages = {259 – 283},

note = {Cited by: 17; All Open Access, Green Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kristan2023431,

title = {The Tenth Visual Object Tracking VOT2022 Challenge Results},

author = {Matej Kristan and Aleš Leonardis and Jiří Matas and Michael Felsberg and Roman Pflugfelder and Joni-Kristian Kämäräinen and Hyung Jin Chang and Martin Danelljan and Luka Čehovin Zajc and Alan Lukežič and Ondrej Drbohlav and Johanna Björklund and Yushan Zhang and Zhongqun Zhang and Song Yan and Wenyan Yang and Dingding Cai and Christoph Mayer and Gustavo Fernández and Kang Ben and Goutam Bhat and Hong Chang and Guangqi Chen and Jiaye Chen and Shengyong Chen and Xilin Chen and Xin Chen and Xiuyi Chen and Yiwei Chen and Yu-Hsi Chen and Zhixing Chen and Yangming Cheng and Angelo Ciaramella and Yutao Cui and Benjamin Džubur and Mohana Murali Dasari and Qili Deng and Debajyoti Dhar and Shangzhe Di and Emanuel Di Nardo and Daniel K. Du and Matteo Dunnhofer and Heng Fan and Zhenhua Feng and Zhihong Fu and Shang Gao and Rama Krishna Gorthi and Eric Granger and Q. H. Gu and Himanshu Gupta and Jianfeng He and Keji He and Yan Huang and Deepak Jangid and Rongrong Ji and Cheng Jiang and Yingjie Jiang and Felix Järemo Lawin and Ze Kang and Madhu Kiran and Josef Kittler and Simiao Lai and Xiangyuan Lan and Dongwook Lee and Hyunjeong Lee and Seohyung Lee and Hui Li and Ming Li and Wangkai Li and Xi Li and Xianxian Li and Xiao Li and Zhe Li and Liting Lin and Haibin Ling and Bo Liu and Chang Liu and Si Liu and Huchuan Lu and Rafael M. O. Cruz and Bingpeng Ma and Chao Ma and Jie Ma and Yinchao Ma and Niki Martinel and Alireza Memarmoghadam and Christian Micheloni and Payman Moallem and Le Thanh Nguyen-Meidine and Siyang Pan and ChangBeom Park and Danda Paudel and Matthieu Paul and Houwen Peng and Andreas Robinson and Litu Rout and Shiguang Shan and Kristian Simonato and Tianhui Song and Xiaoning Song and Chao Sun and Jingna Sun and Zhangyong Tang and Radu Timofte and Chi-Yi Tsai and Luc Van Gool and Om Prakash Verma and Dong Wang and Fei Wang and Liang Wang and Liangliang Wang and Lijun Wang and Limin Wang and Qiang Wang and Gangshan Wu and Jinlin Wu and Xiaojun Wu and Fei Xie and Tianyang Xu and Wei Xu and Yong Xu and Yuanyou Xu and Wanli Xue and Zizheng Xun and Bin Yan and Dawei Yang and Jinyu Yang and Wankou Yang and Xiaoyun Yang and Yi Yang and Yichun Yang and Zongxin Yang and Botao Ye and Fisher Yu and Hongyuan Yu and Jiaqian Yu and Qianjin Yu and Weichen Yu and Kang Ze and Jiang Zhai and Chengwei Zhang and Chunhu Zhang and Kaihua Zhang and Tianzhu Zhang and Wenkang Zhang and Zhibin Zhang and Zhipeng Zhang and Jie Zhao and Shaochuan Zhao and Feng Zheng and Haixia Zheng and Min Zheng and Bineng Zhong and Jiawen Zhu and Xuefeng Zhu and Yueting Zhuang},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151355577&doi=10.1007%2f978-3-031-25085-9_25&partnerID=40&md5=0d53c0206086e03f2b9e91c4fb8c7515},

doi = {10.1007/978-3-031-25085-9_25},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {13808 LNCS},

pages = {431 – 460},

note = {Cited by: 15},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Khan2023,

title = {Lightweight Implicit Blur Kernel Estimation Network for Blind Image Super-Resolution},

author = {Asif Hussain Khan and Christian Micheloni and Niki Martinel},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160352404&doi=10.3390%2finfo14050296&partnerID=40&md5=ff072afc7ddd4d2ee2bcc1d66b2d3e13},

doi = {10.3390/info14050296},

year  = {2023},

date = {2023-01-01},

journal = {Information (Switzerland)},

volume = {14},

number = {5},

note = {Cited by: 0; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Khan2023209,

title = {LBKENet:Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution},

author = {Asif Hussain Khan and Rao Muhammad Umer and Matteo Dunnhofer and Christian Micheloni and Niki Martinel},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173585401&doi=10.1007%2f978-3-031-43153-1_18&partnerID=40&md5=d4cd84ac1419793ec64e7cedca503d79},

doi = {10.1007/978-3-031-43153-1_18},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {14234 LNCS},

pages = {209 – 222},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Munir202224431,

title = {Consistent attentive dual branch network for person re-identification},

author = {Asad Munir and Niki Martinel and Christian Micheloni},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126525346&doi=10.1007%2fs11042-022-12732-3&partnerID=40&md5=71f48b22b3b6451c8d3a998a58eda365},

doi = {10.1007/s11042-022-12732-3},

year  = {2022},

date = {2022-01-01},

journal = {Multimedia Tools and Applications},

volume = {81},

number = {17},

pages = {24431 – 24448},

note = {Cited by: 2; All Open Access, Green Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9387157,

title = {Lord of the Rings: Hanoi Pooling and Self-Knowledge Distillation for Fast and Accurate Vehicle Reidentification},

author = {Niki Martinel and Matteo Dunnhofer and Rita Pucci and Gian Luca Foresti and Christian Micheloni},

doi = {10.1109/TII.2021.3068927},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Industrial Informatics},

volume = {18},

number = {1},

pages = {87-96},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dunnhofer2022,

title = {Combining complementary trackers for enhanced long-term visual object tracking},

author = {Matteo Dunnhofer and Kristian Simonato and Christian Micheloni},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129321490&doi=10.1016%2fj.imavis.2022.104448&partnerID=40&md5=c524851e9b8808c1e7bfdb0e41ff9729},

doi = {10.1016/j.imavis.2022.104448},

year  = {2022},

date = {2022-01-01},

journal = {Image and Vision Computing},

volume = {122},

note = {Cited by: 11},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dunnhofer2022b,

title = {Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images},

author = {Matteo Dunnhofer and Niki Martinel and Christian Micheloni},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142732494&doi=10.1016%2fj.compmedimag.2022.102142&partnerID=40&md5=c018b1e0c7a11ccc3a4fa43cf91a9986},

doi = {10.1016/j.compmedimag.2022.102142},

year  = {2022},

date = {2022-01-01},

journal = {Computerized Medical Imaging and Graphics},

volume = {102},

note = {Cited by: 4},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Martinel202287,

title = {Lord of the Rings: Hanoi Pooling and Self-Knowledge Distillation for Fast and Accurate Vehicle Reidentification},

author = {Niki Martinel and Matteo Dunnhofer and Rita Pucci and Gian Luca Foresti and Christian Micheloni},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103296118&doi=10.1109%2fTII.2021.3068927&partnerID=40&md5=bd12d506969ec1bed9ce4b6f27bcbcef},

doi = {10.1109/TII.2021.3068927},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Industrial Informatics},

volume = {18},

number = {1},

pages = {87 – 96},

note = {Cited by: 15},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pucci2022536,

title = {CVGAN: Image Generation with Capsule Vector-VAE},

author = {Rita Pucci and Christian Micheloni and Gian Luca Foresti and Niki Martinel},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130971481&doi=10.1007%2f978-3-031-06427-2_45&partnerID=40&md5=dfece14fcfdbce2211a41b2c4115d519},

doi = {10.1007/978-3-031-06427-2_45},

year  = {2022},

date = {2022-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {13231 LNCS},

pages = {536 – 547},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{su13179681,

title = {Surrogate Safety Measures Prediction at Multiple Timescales in V2P Conflicts Based on Gated Recurrent Unit},

author = {Matteo Miani and Matteo Dunnhofer and Christian Micheloni and Andrea Marini and Nicola Baldo},

url = {https://www.mdpi.com/2071-1050/13/17/9681},

doi = {10.3390/su13179681},

issn = {2071-1050},

year  = {2021},

date = {2021-01-01},

journal = {Sustainability},

volume = {13},

number = {17},

abstract = {Improving pedestrian safety at urban intersections requires intelligent systems that should not only understand the actual vehicle–pedestrian (V2P) interaction state but also proactively anticipate the event’s future severity pattern. This paper presents a Gated Recurrent Unit-based system that aims to predict, up to 3 s ahead in time, the severity level of V2P encounters, depending on the current scene representation drawn from on-board radars’ data. A car-driving simulator experiment has been designed to collect sequential mobility features on a cohort of 65 licensed university students who faced different V2P conflicts on a planned urban route. To accurately describe the pedestrian safety condition during the encounter process, a combination of surrogate safety indicators, namely TAdv (Time Advantage) and T2 (Nearness of the Encroachment), are considered for modeling. Due to the nature of these indicators, multiple recurrent neural networks are trained to separately predict T2 continuous values and TAdv categories. Afterwards, their predictions are exploited to label serious conflict interactions. As a comparison, an additional Gated Recurrent Unit (GRU) neural network is developed to directly predict the severity level of inner-city encounters. The latter neural model reaches the best performance on the test set, scoring a recall value of 0.899. Based on selected threshold values, the presented models can be used to label pedestrians near accident events and to enhance existing intelligent driving systems.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9394708,

title = {Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation},

author = {Matteo Dunnhofer and Niki Martinel and Christian Micheloni},

doi = {10.1109/LRA.2021.3070816},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Robotics and Automation Letters},

volume = {6},

number = {3},

pages = {5016-5023},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{leong2021intelligent,

title = {An Intelligent Auto-Organizing Aerial Robotic Sensor Network System for Urban Surveillance},

author = {Wai Lun Leong and Niki Martinel and Sunan Huang and Christian Micheloni and Gian Luca Foresti and Rodney Swee Huat Teo},

year  = {2021},

date = {2021-01-01},

journal = {Journal of Intelligent & Robotic Systems},

volume = {102},

number = {2},

pages = {1--22},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dunnhofer20215016,

title = {Weakly-supervised domain adaptation of deep regression trackers via reinforced knowledge distillation},

author = {Matteo Dunnhofer and Niki Martinel and Christian Micheloni},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103755997&doi=10.1109%2fLRA.2021.3070816&partnerID=40&md5=2597b69410979f499d3554e91e4a3817},

doi = {10.1109/LRA.2021.3070816},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Robotics and Automation Letters},

volume = {6},

number = {3},

pages = {5016 – 5023},

note = {Cited by: 17; All Open Access, Green Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Leong2021,

title = {An Intelligent Auto-Organizing Aerial Robotic Sensor Network System for Urban Surveillance},

author = {Wai Lun Leong and Niki Martinel and Sunan Huang and Christian Micheloni and Gian Luca Foresti and Rodney Swee Huat Teo},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106218041&doi=10.1007%2fs10846-021-01398-y&partnerID=40&md5=a01e919f19555ab701193fadad9d5d8a},

doi = {10.1007/s10846-021-01398-y},

year  = {2021},

date = {2021-01-01},

journal = {Journal of Intelligent and Robotic Systems: Theory and Applications},

volume = {102},

number = {2},

note = {Cited by: 13},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dunnhofer2021631,

title = {Tracking-by-Trackers with a Distilled and Reinforced Model},

author = {Matteo Dunnhofer and Niki Martinel and Christian Micheloni},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103264862&doi=10.1007%2f978-3-030-69532-3_38&partnerID=40&md5=1864ef7544a4ec451db9d125c857b623},

doi = {10.1007/978-3-030-69532-3_38},

year  = {2021},

date = {2021-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {12623 LNCS},

pages = {631 – 650},

note = {Cited by: 7},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Miani2021,

title = {Surrogate safety measures prediction at multiple timescales in v2p conflicts based on gated recurrent unit},

author = {Matteo Miani and Matteo Dunnhofer and Christian Micheloni and Andrea Marini and Nicola Baldo},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114108278&doi=10.3390%2fsu13179681&partnerID=40&md5=738990d0565614dca5b8e4a3d06c1730},

doi = {10.3390/su13179681},

year  = {2021},

date = {2021-01-01},

journal = {Sustainability (Switzerland)},

volume = {13},

number = {17},

note = {Cited by: 1; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Miani2021b,

title = {Bituminous mixtures experimental data modeling using a hyperparameters‐optimized machine learning approach},

author = {Matteo Miani and Matteo Dunnhofer and Fabio Rondinella and Evangelos Manthos and Jan Valentin and Christian Micheloni and Nicola Baldo},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120988268&doi=10.3390%2fapp112411710&partnerID=40&md5=9b4dd396e463b56329f9fcc6036390cd},

doi = {10.3390/app112411710},

year  = {2021},

date = {2021-01-01},

journal = {Applied Sciences (Switzerland)},

volume = {11},

number = {24},

note = {Cited by: 18; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}