Fabio Cermelli

Orcid: 0000-0001-7077-697X

According to our database1, Fabio Cermelli authored at least 25 papers between 2017 and 2024.

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

Timeline

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Online presence:

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Bibliography

2024
PEM: Prototype-based Efficient MaskFormer for Image Segmentation.
CoRR, 2024

2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation.
CoRR, 2023


Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unmasking Anomalies in Road-Scene Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CoMFormer: Continual Learning in Semantic and Panoptic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Detecting the unknown in Object Detection.
CoRR, 2022

Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Relaxing the Forget Constraints in Open World Recognition.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Modeling Missing Annotations for Incremental Learning in Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Incremental Learning in Semantic Segmentation from Image Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
On the Challenges of Open World Recognition Under Shifting Visual Domains.
IEEE Robotics Autom. Lett., 2021

On the Challenges of Open World Recognitionunder Shifting Visual Domains.
CoRR, 2021

A Closer Look at Self-Training for Zero-Label Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Detecting Anomalies in Semantic Segmentation With Prototypes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Prototype-based Incremental Few-Shot Segmentation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Boosting Deep Open World Recognition by Clustering.
IEEE Robotics Autom. Lett., 2020

A Few Guidelines for Incremental Few-Shot Segmentation.
CoRR, 2020

Modeling the Background for Incremental Learning in Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Discovering Latent Domains for Unsupervised Domain Adaptation Through Consistency.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2017
T4T: Tangible interface for tuning 3D object manipulation tools.
Proceedings of the 2017 IEEE Symposium on 3D User Interfaces, 2017


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