Biagio Brattoli

Orcid: 0000-0002-8482-3375

According to our database1, Biagio Brattoli authored at least 13 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Sharing Matters for Generalization in Deep Metric Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

SCVRL: Shuffled Contrastive Video Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Visual Similarity Using Limited Supervision.
PhD thesis, 2021

Unsupervised behaviour analysis and magnification (uBAM) using deep learning.
Nat. Mach. Intell., 2021

VidTr: Video Transformer Without Convolutions.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning.
CoRR, 2020

Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
MIC: Mining Interclass Characteristics for Improved Metric Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning.
Proceedings of the Computer Vision - ECCV 2018, 2018

Cross and Learn: Cross-Modal Self-supervision.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

X-GAN: Improving Generative Adversarial Networks with ConveX Combinations.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017
LSTM Self-Supervision for Detailed Behavior Analysis.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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