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2020 – today
- 2024
[c11]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]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]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]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]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]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]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]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]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]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]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]Mattia Segù
, Alessio Tonioni, Federico Tombari:
Batch normalization embeddings for deep domain generalization. Pattern Recognit. 135: 109115 (2023) - [c6]Zhizheng Liu, Mattia Segù, Fisher Yu:
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. DAGM 2023: 443-458 - [c5]Mattia Segù, Bernt Schiele, Fisher Yu:
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. ICCV 2023: 9683-9693 - [c4]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]Mattia Segù, Bernt Schiele, Fisher Yu:
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. CoRR abs/2310.01926 (2023) - [i9]Zhizheng Liu, Mattia Segù, Fisher Yu:
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. CoRR abs/2310.03006 (2023) - 2022
- [c3]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]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]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]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]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]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]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]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]Mattia Segù, Alessio Tonioni, Federico Tombari:
Batch Normalization Embeddings for Deep Domain Generalization. CoRR abs/2011.12672 (2020) - [i3]Mattia Segù, Margarita Grinvald, Roland Siegwart, Federico Tombari:
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer. CoRR abs/2011.13388 (2020) - [i2]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
- 2019
- [i1]Mattia Segù, Antonio Loquercio, Davide Scaramuzza:
A General Framework for Uncertainty Estimation in Deep Learning. CoRR abs/1907.06890 (2019)
Coauthor Index
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last updated on 2024-11-15 19:28 CET by the dblp team
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