LSTM Self-Supervision for Detailed Behavior Analysis. - Biagio Brattoli; Uta Büchler; Anna-Sophia Wahl; Martin E. Schwab; Björn Ommer (CVPR, 2017)

X-GAN: Improving Generative Adversarial Networks with ConveX Combinations. - Oliver Blum; Biagio Brattoli; Björn Ommer (GCPR, 2018)

Cross and Learn: Cross-Modal Self-supervision. - Nawid Sayed; Biagio Brattoli; Björn Ommer (GCPR, 2018)

Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning. - Uta Büchler; Biagio Brattoli; Björn Ommer (ECCV (15), 2018)

MIC: Mining Interclass Characteristics for Improved Metric Learning. - Biagio Brattoli; Karsten Roth; Björn Ommer (ICCV, 2019)

Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. - Biagio Brattoli; Joseph Tighe; Fedor Zhdanov; Pietro Perona; Krzysztof Chalupka (CVPR, 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)

VidTr: Video Transformer Without Convolutions. - Yanyi Zhang; Xinyu Li 003; Chunhui Liu 002; Bing Shuai; Yi Zhu 001; Biagio Brattoli; Hao Chen 024; Ivan Marsic; Joseph Tighe (ICCV, 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)

Visual Similarity Using Limited Supervision. - Biagio Brattoli (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 (Zenodo, 2021)

SCVRL: Shuffled Contrastive Video Representation Learning. - Michael Dorkenwald; Fanyi Xiao; Biagio Brattoli; Joseph Tighe; Davide Modolo (CVPR Workshops, 2022)

Sharing Matters for Generalization in Deep Metric Learning. - Timo Milbich; Karsten Roth; Biagio Brattoli; Björn Ommer (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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 (CVPR, 2023)

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; et al. (CoRR, 2024)

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; et al. (Medical Image Anal., 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 (Zenodo, 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, 2025)