Biagio Brattoli

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Behavior Analysis

Metric Learning

Confocal Images

Video Classification

Top Venues

Publications

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
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer. CoRR (2024)
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
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CoRR (2023)
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
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CVPR (2023)
Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo
SCVRL: Shuffled Contrastive Video Representation Learning. CVPR Workshops (2022)
Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo
SCVRL: Shuffled Contrastive Video Representation Learning. CoRR (2022)
Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
Sharing Matters for Generalization in Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe
VidTr: Video Transformer Without Convolutions. CoRR (2021)
Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe
VidTr: Video Transformer Without Convolutions. ICCV (2021)
Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer
Unsupervised behaviour analysis and magnification (uBAM) using deep learning. Nat. Mach. Intell. 3 (6) (2021)
Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. CVPR (2020)
Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. CoRR (2020)
Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer
uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning. CoRR (2020)
Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
Sharing Matters for Generalization in Deep Metric Learning. CoRR (2020)
Biagio Brattoli, Karsten Roth, Björn Ommer
MIC: Mining Interclass Characteristics for Improved Metric Learning. ICCV (2019)
Karsten Roth, Biagio Brattoli, Björn Ommer
MIC: Mining Interclass Characteristics for Improved Metric Learning. CoRR (2019)
Nawid Sayed, Biagio Brattoli, Björn Ommer
Cross and Learn: Cross-Modal Self-supervision. GCPR (2018)
Nawid Sayed, Biagio Brattoli, Björn Ommer
Cross and Learn: Cross-Modal Self-Supervision. CoRR (2018)
Uta Büchler, Biagio Brattoli, Björn Ommer
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning. CoRR (2018)
Uta Büchler, Biagio Brattoli, Björn Ommer
Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning. ECCV (15) (2018)
Oliver Blum, Biagio Brattoli, Björn Ommer
X-GAN: Improving Generative Adversarial Networks with ConveX Combinations. GCPR (2018)
Biagio Brattoli, Uta Büchler, Anna-Sophia Wahl, Martin E. Schwab, Björn Ommer
LSTM Self-Supervision for Detailed Behavior Analysis. CVPR (2017)