Biagio Brattoli

According to our database, Biagio Brattoli authored at least 18 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss.

Gianluca Carloni, Biagio Brattoli, Seongho Keum, Jongchan Park, Taebum Lee, Chang Ho Ahn, Sérgio Pereira

CoRR, July, 2025

Unsupervised Behavior Analysis and Magnification using Deep Learning: Docker Image.

Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer

Dataset, February, 2025

OCELOT 2023: Cell detection from cell-tissue interaction challenge.

Jaewoong Shin, Jeongun Ryu, Aaron Valero Puche, Jinhee Lee, Biagio Brattoli, Wonkyung Jung, Soo Ick Cho, Kyunghyun Paeng, Chan-Young Ock, Donggeun Yoo, Zhaoyang Li, Wangkai Li, Huayu Mai, Joshua Millward, Zhen He, Aiden Nibali, Lydia Anette Schoenpflug, Viktor Hendrik Koelzer, Shuoyu Xu, Ji Zheng, Hu Bin, Yu-Wen Lo, Ching-Hui Yang, Sérgio Pereira

Medical Image Anal., 2025

2024

Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer.

Biagio Brattoli, Mohammad Mostafavi, Taebum Lee, Wonkyung Jung, Jeongun Ryu, Seonwook Park, Jongchan Park, Sérgio Pereira, Seunghwan Shin, Sangjoon Choi, Hyojin Kim, Donggeun Yoo, Siraj M. Ali, Kyunghyun Paeng, Chan-Young Ock, Soo Ick Cho, Seokhwi Kim

CoRR, 2024

2023

OCELOT: Overlapped Cell on Tissue Dataset for Histopathology.

Jeongun Ryu, Aaron Valero Puche, Jaewoong Shin, Seonwook Park, Biagio Brattoli, Jinhee Lee, Wonkyung Jung, Soo Ick Cho, Kyunghyun Paeng, Chan-Young Ock, Donggeun Yoo, Sérgio Pereira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Sharing Matters for Generalization in Deep Metric Learning.

Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer

IEEE Trans. Pattern Anal. Mach. Intell., 2022

SCVRL: Shuffled Contrastive Video Representation Learning.

Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Unsupervised behaviour analysis and magnification (uBAM) using deep learning Dataset.

Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer

Dataset, April, 2021

Visual Similarity Using Limited Supervision.

Biagio Brattoli

PhD thesis, 2021

Unsupervised behaviour analysis and magnification (uBAM) using deep learning.

Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer

Nat. Mach. Intell., 2021

VidTr: Video Transformer Without Convolutions.

Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning.

Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer

CoRR, 2020

Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications.

Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

MIC: Mining Interclass Characteristics for Improved Metric Learning.

Biagio Brattoli, Karsten Roth, Björn Ommer

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning.

Uta Büchler, Biagio Brattoli, Björn Ommer

Proceedings of the Computer Vision - ECCV 2018, 2018

Cross and Learn: Cross-Modal Self-supervision.

Nawid Sayed, Biagio Brattoli, Björn Ommer

Proceedings of the Pattern Recognition - 40th German Conference, 2018

X-GAN: Improving Generative Adversarial Networks with ConveX Combinations.

Oliver Blum, Biagio Brattoli, Björn Ommer

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017

LSTM Self-Supervision for Detailed Behavior Analysis.

Biagio Brattoli, Uta Büchler, Anna-Sophia Wahl, Martin E. Schwab, Björn Ommer

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017