DUNNHOFER, Matteo
DUNNHOFER, Matteo
DMIF - DIPARTIMENTO DI SCIENZE MATEMATICHE, INFORMATICHE E FISICHE
An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers
2020-01-01 Dunnhofer, M.; Martinel, N.; Micheloni, C.
Automatic Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region, Using Deep Learning
2020-01-01 Camps, S. M.; Houben, T.; Carneiro, G.; Edwards, C.; Antico, M.; Dunnhofer, M.; Martens, E. G. H. J.; Baeza, J. A.; Vanneste, B. G. L.; van Limbergen, E. J.; de With, P. H. N.; Verhaegen, F.; Fontanarosa, D.
Bituminous mixtures experimental data modeling using a hyperparameters‐optimized machine learning approach
2021-01-01 Miani, M.; Dunnhofer, M.; Rondinella, F.; Manthos, E.; Valentin, J.; Micheloni, C.; Baldo, N.
CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking
2022-01-01 Dunnhofer, M.; Machine, C. M.
Combining complementary trackers for enhanced long-term visual object tracking
2022-01-01 Dunnhofer, Matteo; Simonato, Kristian; Micheloni, Christian
Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images
2022-01-01 Dunnhofer, M.; Martinel, N.; Micheloni, C.
Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy
2020-01-01 Antico, M.; Sasazawa, F.; Dunnhofer, M.; Camps, S. M.; Jaiprakash, A. T.; Pandey, A. K.; Crawford, R.; Carneiro, G.; Fontanarosa, D.
Dynamic Object Processing in Macaque IT Cortex: Temporal Dynamics and Model Limitations
2025-01-01 Dunnhofer, Matteo; Micheloni, Christian; Kar, Kohitij
Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details
2021-01-01 Dunnhofer, Matteo; Martinel, Niki; Micheloni, Christian
Is First Person Vision Challenging for Object Tracking?
2021-01-01 Dunnhofer, M.; Furnari, A.; Farinella, G. M.; Micheloni, C.
LBKENet:Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution
2023-01-01 Khan, A. H.; Umer, R. M.; Dunnhofer, M.; Micheloni, C.; Martinel, N.
Lord of the Rings: Hanoi Pooling and Self-Knowledge Distillation for Fast and Accurate Vehicle Re-Identification
2021-01-01 Martinel, N.; Dunnhofer, M.; Pucci, R.; Foresti, G. L.; Micheloni, C.
LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones
2025-01-01 Nottebaum, M.; Dunnhofer, M.; Micheloni, C.
Object Detection Based on Vision Sensors and Neural Network
2025-01-01 Qi, Man; Dunnhofer, Matteo
One-class Gaussian process regressor for quality assessment of transperineal ultrasound images
2018-01-01 Camps, Saskia; Houben, Tim; Fontanarosa, Davide; Edwards, Christopher; Antico, Maria; Dunnhofer, Matteo; Martens, Esther; Baeza, Jose; Vanneste, Ben; van Limbergen, Evert; de With, Peter H. N.; Carneiro, Gustavo
Person Re-Identification via Unsupervised Transfer of Learned Visual Representations
2017-01-01 Martinel, Niki; Dunnhofer, Matteo; Foresti, Gian Luca; Micheloni, Christian
Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region Using Deep Learning
2018-01-01 Camps, Saskia; Houben, Tim; Edwards, Christopher; Antico, Maria; Dunnhofer, Matteo; Martens, Esther; Baeza, Jose; Vanneste, Ben; Van Limbergen, Evert; De With, Peter; Verhaegen, Frank; Carneiro, Gustavo; Fontanarosa, Davide
Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images
2020-01-01 Dunnhofer, M.; Antico, M.; Sasazawa, F.; Takeda, Y.; Camps, S.; Martinel, N.; Micheloni, C.; Carneiro, G.; Fontanarosa, D.
Surrogate safety measures prediction at multiple timescales in v2p conflicts based on gated recurrent unit
2021-01-01 Miani, M.; Dunnhofer, M.; Micheloni, C.; Marini, A.; Baldo, N.
The Eighth Visual Object Tracking VOT2020 Challenge Results
2020-01-01 Kristan, M.; Leonardis, A.; Matas, J.; Felsberg, M.; Pflugfelder, R.; Kamarainen, J. -K.; Danelljan, M.; Zajc, L. C.; Lukezic, A.; Drbohlav, O.; He, L.; Zhang, Y.; Yan, S.; Yang, J.; Fernandez, G.; Hauptmann, A.; Memarmoghadam, A.; Garcia-Martin, A.; Robinson, A.; Varfolomieiev, A.; Gebrehiwot, A. H.; Uzun, B.; Yan, B.; Li, B.; Qian, C.; Tsai, C. -Y.; Micheloni, C.; Wang, D.; Wang, F.; Xie, F.; Lawin, F. J.; Gustafsson, F.; Foresti, G. L.; Bhat, G.; Chen, G.; Ling, H.; Zhang, H.; Cevikalp, H.; Zhao, H.; Bai, H.; Kuchibhotla, H. C.; Saribas, H.; Fan, H.; Ghanei-Yakhdan, H.; Li, H.; Peng, H.; Lu, H.; Li, H.; Khaghani, J.; Bescos, J.; Li, J.; Fu, J.; Yu, J.; Xu, J.; Kittler, J.; Yin, J.; Lee, J.; Yu, K.; Liu, K.; Yang, K.; Dai, K.; Cheng, L.; Zhang, L.; Wang, L.; Wang, L.; Van Gool, L.; Bertinetto, L.; Dunnhofer, M.; Cheng, M.; Dasari, M. M.; Wang, N.; Wang, N.; Zhang, P.; Torr, P. H. S.; Wang, Q.; Timofte, R.; Gorthi, R. K. S.; Choi, S.; Marvasti-Zadeh, S. M.; Zhao, S.; Kasaei, S.; Qiu, S.; Chen, S.; Schon, T. B.; Xu, T.; Lu, W.; Hu, W.; Zhou, W.; Qiu, X.; Ke, X.; Wu, X. -J.; Zhang, X.; Yang, X.; Zhu, X.; Jiang, Y.; Wang, Y.; Chen, Y.; Ye, Y.; Li, Y.; Yao, Y.; Lee, Y.; Gu, Y.; Wang, Z.; Tang, Z.; Feng, Z. -H.; Mai, Z.; Zhang, Z.; Wu, Z.; Ma, Z.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers | 1-gen-2020 | Dunnhofer, M.; Martinel, N.; Micheloni, C. | |
| Automatic Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region, Using Deep Learning | 1-gen-2020 | Camps, S. M.; Houben, T.; Carneiro, G.; Edwards, C.; Antico, M.; Dunnhofer, M.; Martens, E. G. H. J.; Baeza, J. A.; Vanneste, B. G. L.; van Limbergen, E. J.; de With, P. H. N.; Verhaegen, F.; Fontanarosa, D. | |
| Bituminous mixtures experimental data modeling using a hyperparameters‐optimized machine learning approach | 1-gen-2021 | Miani, M.; Dunnhofer, M.; Rondinella, F.; Manthos, E.; Valentin, J.; Micheloni, C.; Baldo, N. | |
| CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking | 1-gen-2022 | Dunnhofer, M.; Machine, C. M. | |
| Combining complementary trackers for enhanced long-term visual object tracking | 1-gen-2022 | Dunnhofer, Matteo; Simonato, Kristian; Micheloni, Christian | |
| Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images | 1-gen-2022 | Dunnhofer, M.; Martinel, N.; Micheloni, C. | |
| Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy | 1-gen-2020 | Antico, M.; Sasazawa, F.; Dunnhofer, M.; Camps, S. M.; Jaiprakash, A. T.; Pandey, A. K.; Crawford, R.; Carneiro, G.; Fontanarosa, D. | |
| Dynamic Object Processing in Macaque IT Cortex: Temporal Dynamics and Model Limitations | 1-gen-2025 | Dunnhofer, Matteo; Micheloni, Christian; Kar, Kohitij | |
| Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details | 1-gen-2021 | Dunnhofer, Matteo; Martinel, Niki; Micheloni, Christian | |
| Is First Person Vision Challenging for Object Tracking? | 1-gen-2021 | Dunnhofer, M.; Furnari, A.; Farinella, G. M.; Micheloni, C. | |
| LBKENet:Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution | 1-gen-2023 | Khan, A. H.; Umer, R. M.; Dunnhofer, M.; Micheloni, C.; Martinel, N. | |
| Lord of the Rings: Hanoi Pooling and Self-Knowledge Distillation for Fast and Accurate Vehicle Re-Identification | 1-gen-2021 | Martinel, N.; Dunnhofer, M.; Pucci, R.; Foresti, G. L.; Micheloni, C. | |
| LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones | 1-gen-2025 | Nottebaum, M.; Dunnhofer, M.; Micheloni, C. | |
| Object Detection Based on Vision Sensors and Neural Network | 1-gen-2025 | Qi, Man; Dunnhofer, Matteo | |
| One-class Gaussian process regressor for quality assessment of transperineal ultrasound images | 1-gen-2018 | Camps, Saskia; Houben, Tim; Fontanarosa, Davide; Edwards, Christopher; Antico, Maria; Dunnhofer, Matteo; Martens, Esther; Baeza, Jose; Vanneste, Ben; van Limbergen, Evert; de With, Peter H. N.; Carneiro, Gustavo | |
| Person Re-Identification via Unsupervised Transfer of Learned Visual Representations | 1-gen-2017 | Martinel, Niki; Dunnhofer, Matteo; Foresti, Gian Luca; Micheloni, Christian | |
| Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region Using Deep Learning | 1-gen-2018 | Camps, Saskia; Houben, Tim; Edwards, Christopher; Antico, Maria; Dunnhofer, Matteo; Martens, Esther; Baeza, Jose; Vanneste, Ben; Van Limbergen, Evert; De With, Peter; Verhaegen, Frank; Carneiro, Gustavo; Fontanarosa, Davide | |
| Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images | 1-gen-2020 | Dunnhofer, M.; Antico, M.; Sasazawa, F.; Takeda, Y.; Camps, S.; Martinel, N.; Micheloni, C.; Carneiro, G.; Fontanarosa, D. | |
| Surrogate safety measures prediction at multiple timescales in v2p conflicts based on gated recurrent unit | 1-gen-2021 | Miani, M.; Dunnhofer, M.; Micheloni, C.; Marini, A.; Baldo, N. | |
| The Eighth Visual Object Tracking VOT2020 Challenge Results | 1-gen-2020 | Kristan, M.; Leonardis, A.; Matas, J.; Felsberg, M.; Pflugfelder, R.; Kamarainen, J. -K.; Danelljan, M.; Zajc, L. C.; Lukezic, A.; Drbohlav, O.; He, L.; Zhang, Y.; Yan, S.; Yang, J.; Fernandez, G.; Hauptmann, A.; Memarmoghadam, A.; Garcia-Martin, A.; Robinson, A.; Varfolomieiev, A.; Gebrehiwot, A. H.; Uzun, B.; Yan, B.; Li, B.; Qian, C.; Tsai, C. -Y.; Micheloni, C.; Wang, D.; Wang, F.; Xie, F.; Lawin, F. J.; Gustafsson, F.; Foresti, G. L.; Bhat, G.; Chen, G.; Ling, H.; Zhang, H.; Cevikalp, H.; Zhao, H.; Bai, H.; Kuchibhotla, H. C.; Saribas, H.; Fan, H.; Ghanei-Yakhdan, H.; Li, H.; Peng, H.; Lu, H.; Li, H.; Khaghani, J.; Bescos, J.; Li, J.; Fu, J.; Yu, J.; Xu, J.; Kittler, J.; Yin, J.; Lee, J.; Yu, K.; Liu, K.; Yang, K.; Dai, K.; Cheng, L.; Zhang, L.; Wang, L.; Wang, L.; Van Gool, L.; Bertinetto, L.; Dunnhofer, M.; Cheng, M.; Dasari, M. M.; Wang, N.; Wang, N.; Zhang, P.; Torr, P. H. S.; Wang, Q.; Timofte, R.; Gorthi, R. K. S.; Choi, S.; Marvasti-Zadeh, S. M.; Zhao, S.; Kasaei, S.; Qiu, S.; Chen, S.; Schon, T. B.; Xu, T.; Lu, W.; Hu, W.; Zhou, W.; Qiu, X.; Ke, X.; Wu, X. -J.; Zhang, X.; Yang, X.; Zhu, X.; Jiang, Y.; Wang, Y.; Chen, Y.; Ye, Y.; Li, Y.; Yao, Y.; Lee, Y.; Gu, Y.; Wang, Z.; Tang, Z.; Feng, Z. -H.; Mai, Z.; Zhang, Z.; Wu, Z.; Ma, Z. |