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Andrea Pilzer
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2020 – today
- 2024
- [c10]Sara Papi, Marco Gaido, Andrea Pilzer, Matteo Negri:
When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP. ACL (1) 2024: 3657-3672 - [c9]Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin:
Fixing Overconfidence in Dynamic Neural Networks. WACV 2024: 2668-2678 - 2023
- [j2]Mohamed Daoudi
, Roberto Vezzani
, Guido Borghi
, Claudio Ferrari
, Marcella Cornia
, Federico Becattini
, Andrea Pilzer
:
Computer Vision in Human Analysis: From Face and Body to Clothes. Sensors 23(12): 5378 (2023) - [c8]Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot
, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin
, Martin Trapp
, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi:
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 2023: 4620-4630 - [c7]Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin
, Juho Kannala:
Expansion of Visual Hints for Improved Generalization in Stereo Matching. WACV 2023: 5829-5838 - [i15]Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin:
Fixing Overconfidence in Dynamic Neural Networks. CoRR abs/2302.06359 (2023) - [i14]Sara Papi, Marco Gaido, Andrea Pilzer, Matteo Negri:
Reproducibility is Nothing without Correctness: The Importance of Testing Code in NLP. CoRR abs/2303.16166 (2023) - [i13]Lorenzo Baraldi, Roberto Amoroso, Marcella Cornia, Lorenzo Baraldi, Andrea Pilzer, Rita Cucchiara:
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training. CoRR abs/2306.07346 (2023) - [i12]Renato Sortino, Thomas Cecconello, Andrea DeMarco, Giuseppe Fiameni, Andrea Pilzer, Andrew M. Hopkins, Daniel Magro, Simone Riggi, Eva Sciacca, Adriano Ingallinera, Cristobal Bordiu, Filomena Bufano, Concetto Spampinato:
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation. CoRR abs/2307.02392 (2023) - [i11]Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi:
The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR abs/2309.15478 (2023) - [i10]Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao:
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. CoRR abs/2312.15297 (2023) - 2022
- [c6]Subhankar Roy
, Martin Trapp
, Andrea Pilzer, Juho Kannala, Nicu Sebe
, Elisa Ricci
, Arno Solin
:
Uncertainty-Guided Source-Free Domain Adaptation. ECCV (25) 2022: 537-555 - [c5]Arno Solin, Rui Li, Andrea Pilzer:
A Look at Improving Robustness in Visual- inertial SLAM by Moment Matching. FUSION 2022: 1-8 - [i9]Arno Solin, Rui Li, Andrea Pilzer:
A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching. CoRR abs/2205.13821 (2022) - [i8]Subhankar Roy
, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci
, Arno Solin:
Uncertainty-guided Source-free Domain Adaptation. CoRR abs/2208.07591 (2022) - [i7]Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin, Juho Kannala:
Expansion of Visual Hints for Improved Generalization in Stereo Matching. CoRR abs/2211.00392 (2022) - 2020
- [j1]Andrea Pilzer
, Stéphane Lathuilière
, Dan Xu
, Mihai Marian Puscas
, Elisa Ricci
, Nicu Sebe
:
Progressive Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2380-2395 (2020)
2010 – 2019
- 2019
- [c4]Mihai Marian Puscas, Dan Xu, Andrea Pilzer, Nicu Sebe
:
Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation. 3DV 2019: 18-26 - [c3]Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe
, Elisa Ricci
:
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation. CVPR 2019: 9768-9777 - [i6]Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci:
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation. CoRR abs/1903.04202 (2019) - [i5]Zhenyu Zhang, Stéphane Lathuilière, Andrea Pilzer, Nicu Sebe, Elisa Ricci, Jian Yang:
Online Adaptation through Meta-Learning for Stereo Depth Estimation. CoRR abs/1904.08462 (2019) - [i4]Mihai Marian Puscas, Dan Xu, Andrea Pilzer, Nicu Sebe:
Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation. CoRR abs/1908.05794 (2019) - [i3]Andrea Pilzer, Stéphane Lathuilière, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks. CoRR abs/1909.07667 (2019) - 2018
- [c2]Andrea Pilzer, Dan Xu, Mihai Marian Puscas, Elisa Ricci
, Nicu Sebe
:
Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks. 3DV 2018: 587-595 - [i2]Andrea Pilzer, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Unsupervised Adversarial Depth Estimation using Cycled Generative Networks. CoRR abs/1807.10915 (2018) - 2017
- [c1]Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe
, Elisa Ricci
:
Viraliency: Pooling Local Virality. CVPR 2017: 484-492 - [i1]Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci:
Viraliency: Pooling Local Virality. CoRR abs/1703.03937 (2017)
Coauthor Index
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last updated on 2024-08-27 22:56 CEST by the dblp team
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