Biagio Brattoli

27 papers A* 5Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	OCELOT 2023: Cell Detection from Cell-Tissue Interaction Challenge. CoRR 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
2025	J	`jnl`	OCELOT 2023: Cell detection from cell-tissue interaction challenge. Medical Image Anal. 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
2025	—	`conf`	Pathology Foundation Models Are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss. MedAGI Gianluca Carloni, Biagio Brattoli, Seongho Keum, Jongchan Park, Taebum Lee, Chang Ho Ahn, Sérgio Pereira
2025	J	`jnl`	Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss. CoRR Gianluca Carloni, Biagio Brattoli, Seongho Keum, Jongchan Park, Taebum Lee, Chang Ho Ahn, Sérgio Pereira
2024	J	`jnl`	Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer. CoRR 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
2024	—	`ed.`	Proceedings of the MICCAI Workshop on Computational Pathology, Marrakesh, Morocco, 6 October 2024. COMPAY@MICCAI Francesco Ciompi, Nadieh Khalili, Linda Studer, Milda Poceviciute, Amjad Khan, Mitko Veta, Yiping Jiao, Neda Haj-Hosseini, Hao Chen, Shan Raza, Fayyaz Minhas, Inti Zlobec, Nikolay Burlutskiy, Veronica Vilaplana, Biagio Brattoli, Henning Müller, Manfredo Atzori
2023	A*	`conf`	OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CVPR 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
2023	J	`jnl`	OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CoRR 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
2022	—	`conf`	SCVRL: Shuffled Contrastive Video Representation Learning. CVPR Workshops Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo
2022	J	`jnl`	SCVRL: Shuffled Contrastive Video Representation Learning. CoRR Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo
2022	J	`jnl`	Sharing Matters for Generalization in Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
2021	J	`jnl`	Unsupervised behaviour analysis and magnification (uBAM) using deep learning. Nat. Mach. Intell. Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer
2021	A*	`conf`	VidTr: Video Transformer Without Convolutions. ICCV Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe
2021	J	`jnl`	VidTr: Video Transformer Without Convolutions. CoRR Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe
2021	—	`—`	Visual Similarity Using Limited Supervision. Biagio Brattoli
2020	A*	`conf`	Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. CVPR Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
2020	J	`jnl`	Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. CoRR Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
2020	J	`jnl`	Sharing Matters for Generalization in Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
2020	J	`jnl`	uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning. CoRR Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer
2019	A*	`conf`	MIC: Mining Interclass Characteristics for Improved Metric Learning. ICCV Biagio Brattoli, Karsten Roth, Björn Ommer
2019	J	`jnl`	MIC: Mining Interclass Characteristics for Improved Metric Learning. CoRR Karsten Roth, Biagio Brattoli, Björn Ommer
2018	J	`jnl`	Cross and Learn: Cross-Modal Self-Supervision. CoRR Nawid Sayed, Biagio Brattoli, Björn Ommer
2018	—	`conf`	Cross and Learn: Cross-Modal Self-supervision. GCPR Nawid Sayed, Biagio Brattoli, Björn Ommer
2018	J	`jnl`	Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning. CoRR Uta Büchler, Biagio Brattoli, Björn Ommer
2018	—	`conf`	Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning. ECCV (15) Uta Büchler, Biagio Brattoli, Björn Ommer
2018	—	`conf`	X-GAN: Improving Generative Adversarial Networks with ConveX Combinations. GCPR Oliver Blum, Biagio Brattoli, Björn Ommer
2017	A*	`conf`	LSTM Self-Supervision for Detailed Behavior Analysis. CVPR Biagio Brattoli, Uta Büchler, Anna-Sophia Wahl, Martin E. Schwab, Björn Ommer