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Luigi Piccinelli
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2020 – today
- 2024
- [j1]Kevin Thandiackal, Luigi Piccinelli, Rajarsi Gupta, Pushpak Pati, Orcun Goksel:
Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains. IEEE Trans. Medical Imaging 43(7): 2599-2609 (2024) - [c6]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 - [c5]Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CVPR 2024: 18963-18973 - [c4]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 - [c3]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 - [i7]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) - [i6]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) - [i5]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) - [i4]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) - [i3]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
- [c2]Luigi Piccinelli, Christos Sakaridis, Fisher Yu:
iDisc: Internal Discretization for Monocular Depth Estimation. CVPR 2023: 21477-21487 - [i2]Kevin Thandiackal, Luigi Piccinelli, Pushpak Pati, Orcun Goksel:
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains. CoRR abs/2302.01287 (2023) - [i1]Luigi Piccinelli, Christos Sakaridis, Fisher Yu:
iDisc: Internal Discretization for Monocular Depth Estimation. CoRR abs/2304.06334 (2023) - 2022
- [c1]Marco Giordano, Luigi Piccinelli, Michele Magno:
Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge. AICAS 2022: 94-97
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last updated on 2024-11-15 20:38 CET by the dblp team
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