Andrea Pilzer

Orcid: 0000-0001-6868-7943

According to our database1, Andrea Pilzer authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Fixing Overconfidence in Dynamic Neural Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Computer Vision in Human Analysis: From Face and Body to Clothes.
Sensors, 2023

RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation.
CoRR, 2023

Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training.
CoRR, 2023

Reproducibility is Nothing without Correctness: The Importance of Testing Code in NLP.
CoRR, 2023

Expansion of Visual Hints for Improved Generalization in Stereo Matching.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023


2022
A Look at Improving Robustness in Visual- inertial SLAM by Moment Matching.
Proceedings of the 25th International Conference on Information Fusion, 2022

Uncertainty-Guided Source-Free Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2020
Progressive Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019
Online Adaptation through Meta-Learning for Stereo Depth Estimation.
CoRR, 2019

Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
Viraliency: Pooling Local Virality.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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