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Mattia Segù

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2020 – today

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2024
[c11]
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  - conf/cvpr/Li0SPGT24
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Rui Li, Tobias Fischer, Mattia Segù, Marc Pollefeys, Luc Van Gool, Federico Tombari:
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. CVPR 2024: 9848-9858
[c10]
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  - conf/cvpr/PiccinelliYSSLG24
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Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu:
UniDepth: Universal Monocular Metric Depth Estimation. CVPR 2024: 10106-10116
[c9]
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  - conf/cvpr/LiKDPSG024
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Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CVPR 2024: 18963-18973
[c8]
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  - conf/eccv/LiKYPSDG24
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Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool:
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking. ECCV (27) 2024: 1-18
[c7]
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Mattia Segù, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele:
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs. ECCV (8) 2024: 1-18
[i16]
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  - journals/corr/abs-2403-18913
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Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu:
UniDepth: Universal Monocular Metric Depth Estimation. CoRR abs/2403.18913 (2024)
[i15]
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  - journals/corr/abs-2404-03658
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Rui Li, Tobias Fischer, Mattia Segù, Marc Pollefeys, Luc Van Gool, Federico Tombari:
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. CoRR abs/2404.03658 (2024)
[i14]
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  - journals/corr/abs-2406-04221
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Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CoRR abs/2406.04221 (2024)
[i13]
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  - journals/corr/abs-2409-11235
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Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool:
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking. CoRR abs/2409.11235 (2024)
[i12]
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  - journals/corr/abs-2409-17221
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Mattia Segù, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele:
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs. CoRR abs/2409.17221 (2024)
[i11]
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  - journals/corr/abs-2410-01806
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Mattia Segù, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Bernt Schiele, Luc Van Gool:
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking. CoRR abs/2410.01806 (2024)
2023
[j2]
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  - journals/pr/SeguTT23
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Mattia Segù, Alessio Tonioni, Federico Tombari:
Batch normalization embeddings for deep domain generalization. Pattern Recognit. 135: 109115 (2023)
[c6]
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  - conf/dagm/LiuSY23
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Zhizheng Liu, Mattia Segù, Fisher Yu:
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. DAGM 2023: 443-458
[c5]
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  - conf/iccv/SeguS023
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Mattia Segù, Bernt Schiele, Fisher Yu:
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. ICCV 2023: 9683-9693
[c4]
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  - conf/iclr/FanSTYTSD23
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Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai:
Towards Robust Object Detection Invariant to Real-World Domain Shifts. ICLR 2023
[i10]
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  - journals/corr/abs-2310-01926
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Mattia Segù, Bernt Schiele, Fisher Yu:
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. CoRR abs/2310.01926 (2023)
[i9]
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  - journals/corr/abs-2310-03006
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Zhizheng Liu, Mattia Segù, Fisher Yu:
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. CoRR abs/2310.03006 (2023)
2022
[c3]
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  - conf/cvpr/ZaheerMKSYL22
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Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee:
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CVPR 2022: 14724-14734
[c2]
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  - conf/cvpr/SunSPWGSTY22
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Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu:
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CVPR 2022: 21339-21350
[c1]
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  - conf/icml/PostelsSSSGYT22
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Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. ICML 2022: 17870-17909
[i8]
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  - journals/corr/abs-2203-03962
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Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee:
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CoRR abs/2203.03962 (2022)
[i7]
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  - journals/corr/abs-2206-08367
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Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu:
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CoRR abs/2206.08367 (2022)
[i6]
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  - journals/corr/abs-2211-04393
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Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai:
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts. CoRR abs/2211.04393 (2022)
2021
[i5]
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  - journals/corr/abs-2107-00649
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Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. CoRR abs/2107.00649 (2021)
2020
[j1]
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  - journals/ral/LoquercioSS20
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Antonio Loquercio, Mattia Segù, Davide Scaramuzza:
A General Framework for Uncertainty Estimation in Deep Learning. IEEE Robotics Autom. Lett. 5(2): 3153-3160 (2020)
[i4]
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  - journals/corr/abs-2011-12672
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Mattia Segù, Alessio Tonioni, Federico Tombari:
Batch Normalization Embeddings for Deep Domain Generalization. CoRR abs/2011.12672 (2020)
[i3]
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  - journals/corr/abs-2011-13388
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Mattia Segù, Margarita Grinvald, Roland Siegwart, Federico Tombari:
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer. CoRR abs/2011.13388 (2020)
[i2]
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  - journals/corr/abs-2011-13399
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Mattia Segù, Federico Pirovano, Gianmario Fumagalli, Amedeo Fabris:
Depth-Aware Action Recognition: Pose-Motion Encoding through Temporal Heatmaps. CoRR abs/2011.13399 (2020)

2010 – 2019

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2019
[i1]
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  - journals/corr/abs-1907-06890
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Mattia Segù, Antonio Loquercio, Davide Scaramuzza:
A General Framework for Uncertainty Estimation in Deep Learning. CoRR abs/1907.06890 (2019)

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